Ace The ML System Design Interview [Part 3] - Big Picture Design

A strong big-picture system design is crucial for success in machine learning system design interviews. It's not about drawing a perfect diagram immediately, but about demonstrating an understanding of the system's components and their interactions. Here are the core points from this lesson:

- Identify the inputs and outputs of the system during the alignment phase to establish a foundation for building the diagram
- Start with the user and the service, then progressively add components, especially those involving machine learning, to illustrate the flow of data and processes
- Break down machine learning components beyond a single "ML system" box to show the different stages and types of models involved
- Include essential infrastructure elements, such as feature stores, to demonstrate a comprehensive understanding of the system
- Iterate on the diagram, adding or modifying components as a deeper understanding of the problem and its requirements develops

If you like what Ilya has to say, subscribe to his YouTube for more high-quality ML/AI career guidance: [MLEpath - YouTube](https://go.mlepath.com/taro-youtube-mlepath)

If you want hands-on support from Ilya to crack the FAANG ML interview, join his coaching program: [MLEpath - Coaching Program](https://go.mlepath.com/taro-march-25)

Paper Reading: DeepSeek R1 - Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Session led by [Mike A](https://www.linkedin.com/in/malik-mike-a-32b63818b/) 

Join us for an insightful session on the groundbreaking paper, DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. In this session, we will explore DeepSeek-R1, a state-of-the-art reasoning model that pushes the boundaries of reinforcement learning (RL) applied to large language models (LLMs). 

This paper introduces two novel models, DeepSeek-R1-Zero and DeepSeek-R1, showcasing advancements in reasoning capabilities through RL-driven self-evolution. Unlike traditional models relying heavily on supervised fine-tuning (SFT), DeepSeek-R1-Zero develops its reasoning abilities purely through RL, while DeepSeek-R1 combines RL with a multi-stage training pipeline for enhanced performance. 

The paper highlights exceptional benchmarks achieved by DeepSeek-R1 on math, coding, and STEM-related reasoning tasks, where its performance rivals that of leading closed-source models such as OpenAI's o1-1217. Additionally, we’ll discuss distilling these capabilities into smaller, more efficient models to make advanced reasoning accessible for diverse applications. 

Whether you're a researcher, developer, or enthusiast in AI and LLMs, this paper reading will provide an in-depth understanding of the novel reinforcement learning techniques driving DeepSeek-R1 and its implications for the future of AI-driven reasoning systems. Don't miss this opportunity to engage with cutting-edge advancements in the field! \[2501.12948\] DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning 

GitHub - deepseek-ai/DeepSeek-R1 

Mark Chen X Post: <https://x.com/markchen90/status/1884303237186216272?s=12&t=BSlMYtugAr8LLWXLnMLLrQ> 

GRPO Diagram: <https://www.reddit.com/r/LocalLLaMA/comments/1i78sfs/deepseek_r1_grpo_code_open_sourced/#lightbox> 

The Bitter Lesson: <http://www.incompleteideas.net/IncIdeas/BitterLesson.html> 

Gradient Descent Image: <https://miro.medium.com/v2/format:webp/1\\\*f9a162GhpMbiTVTAua_lLQ.png> 

V3: <https://arxiv.org/abs/2412.19437> 

DeepSeek Math: <https://arxiv.org/abs/2402.03300> 

rstar-math: <https://arxiv.org/abs/2501.04519> 

Verify Step-by-Step: <https://arxiv.org/abs/2305.20050> 

DeepSeek catch-up chart: <https://media.licdn.com/dms/image/v2/D4E22AQG552O63UNJWg/feedshare-shrink_800/B4EZTN\\\[…\\\]41824000&v=beta&t=ubyKQniaCJTL37PzIOJi9YZRo1AF8yipuauSioyn59U> 

UC Berkeley Student $30 replication of Aha: <https://x.com/jiayi_pirate/status/1882839370505621655> 

Deep Agent R1-V replication: <https://x.com/liangchen5518/status/1886171667522842856> 

s1: <https://arxiv.org/abs/2501.19393> 

DeepSeek-r1 cost breakdown: <https://semianalysis.com/2025/01/31/deepseek-debates/> 

R1 Deep Dive: <https://fireworks.ai/blog/deepseek-r1-deepdive> 

All in Podcast: <https://podcasts.apple.com/us/podcast/all-in-with-chamath-jason-sacks-friedberg/id1502871393?i=1000687638652> 

Peter Gostev LinkedIn: <https://www.linkedin.com/in/peter-gostev/> 

LLM Agents Learning: <https://llmagents-learning.org/sp25>

Engineer Your Ideal Tech Career [Part 14] - Defining Near-Term Goals

Moving into your last section and with inspiration from the engineers you just heard from, you can expect to start defining near-term goals that you can implement within the next week, month, or quarter, to start charging towards your ideal long-term career.

This section will include tangible advice you can implement on the job or if you are preparing for interviews.

Looking for mentorship from tech’s top engineers + personalized job hunt assistance and interview prep? [Formation.dev](http://Formation.dev) can provide you unlimited career coaching, technical mentorship, personalized practice, and mock interviews. Join us here: <https://formation.dev/partners/taro>

Worksheet: [Formation - Coding Your Career](https://firebasestorage.googleapis.com/v0/b/tech-career-growth.appspot.com/o/courses%2Fslides%2FFormation%20Career%20Direction%20Worksheet.pdf?alt=media&token=f6344b78-529a-411e-a449-7a34a8d55fc8)

Get The Rating You Deserve [Part 18] - Build Inner Strength

**In this final section, we explored the importance of building inner strength to sustain long-term success.**

To cultivate inner strength, we should:

- **Prioritize self-care:** Invest in physical, mental, and emotional well-being.
- **Develop strong habits:** Establish routines that support our goals and values.
- **Practice mindfulness:** Cultivate awareness of our thoughts and feelings.
- **Build strong relationships:** Foster meaningful connections with others.
- **Embrace a growth mindset:** View challenges as opportunities for learning and growth.

By building inner strength, we can navigate challenges with resilience, maintain a positive outlook, and achieve lasting fulfillment.

If you want to get personalized support from Yogi, you can reach out to him at [coaching@yogisharma.com](mailto:coaching@yogisharma.com) or schedule an introductory call to dive into your situation at <https://tinyurl.com/meetyogi>.

Get The Rating You Deserve [Part 14] - Regular Check Ins

**In this section, we explored the importance of regular check-ins with key stakeholders.**

To effectively leverage regular check-ins, we should:

- **Prioritize career discussions:** Shift the focus of our one-on-one meetings from status updates to career development.
- **Proactively communicate:** Initiate conversations about our goals, aspirations, and challenges.
- **Exhaust the feedback process:** Actively seek and incorporate feedback to improve our performance.
- **Communicate effectively:** Clearly articulate our needs and desires, using compassionate language.
- **Be patient and persistent:** Understand that change takes time and be persistent in our efforts to achieve our goals.

By effectively utilizing regular check-ins, we can accelerate our career progression and build strong relationships with our colleagues and managers.

If you want to get personalized support from Yogi, you can reach out to him at [coaching@yogisharma.com](mailto:coaching@yogisharma.com) or schedule an introductory call to dive into your situation at <https://tinyurl.com/meetyogi>.

Get The Rating You Deserve [Part 8] - Engaging In Conflicts

**In this section, we'll delve into the importance of effectively managing conflicts in the workplace.**

- **The Benefits of Conflict Resolution:** We'll explore how resolving conflicts can save time, build stronger relationships, and enhance career growth.
- **Key Strategies for Conflict Resolution:** We'll discuss essential strategies such as empathetic negotiation, non-violent communication, and the importance of focusing on common ground.
- **Recognizing Conflict:** We'll discuss the importance of identifying early signs of conflict, such as changes in body language and emotional state.
- **Avoiding Common Pitfalls:** We'll highlight common mistakes people make when dealing with conflict, such as avoidance and blame, and provide strategies to overcome them.
- **Practical Tips:** We'll share actionable advice, such as practicing mindfulness, active listening, and seeking win-win solutions.

If you want to get personalized support from Yogi, you can reach out to him at [coaching@yogisharma.com](mailto:coaching@yogisharma.com) or schedule an introductory call to dive into your situation at <https://tinyurl.com/meetyogi>.

Come Up With 500k+ User Project Ideas [Part 13] - Look For Gaps

You have found some competitors that you want to beat with your side project. Now how do you do that? This lesson teaches you:

- How adding efficiency and reducing clicks can be extremely compelling
- General basic UI/UX (user interface/user experience) improvements you can make for a product
- A simple way you can level up an application without doing anything (everybody hates ads)

How Do I Know If I'm Making Progress With Leetcode?

It's demoralizing to get stuck on similar problems repeatedly. How do you know if you're making progress?

Course: <https://www.jointaro.com/course/crash-course-data-structures-and-algorithms-concepts/>

How To Apply The 80/20 Rule To Leetcode Prep

Even Alvin, who has mastery over Data Structures and Algorithms, would not pass all the tech interviews!

Course: <https://www.jointaro.com/course/crash-course-data-structures-and-algorithms-concepts/>

DSA Crash Course [Part 85] - Array Stepper Approach

In this lesson, Alvin explores the strategy to solving the following interview problem:

> Write a function, *array_stepper*, that takes in a list of numbers as an argument. You start at the first position of the list. The function should return a boolean indicating whether or not it is possible to reach the last position of the list. When situated at some position of the list, you may take a maximum number of steps based on the number at that position.
>
> For example, given:
>
> - idx =  0  1  2  3  4  5
> - numbers = \[2, 4, 2, 0, 0, 1\]
>
> The answer is True.
>
> We start at idx 0, we could take 1 step or 2 steps forward.
>
> The correct choice is to take 1 step to idx 1.
>
> Then take 4 steps forward to the end at idx 5.

```
array_stepper([2, 4, 2, 0, 0, 1]) # -> True
```

```
array_stepper([2, 3, 2, 0, 0, 1]) # -> False
```

```
array_stepper([3, 1, 3, 1, 0, 1]) # -> True
```

```
array_stepper([4, 1, 5, 1, 1, 1, 0, 4]) # -> True
```

```
array_stepper([4, 1, 2, 1, 1, 1, 0, 4]) # -> False
```

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: [**https://www.linkedin.com/in/alvin-zablan-b73a92117/**](https://www.linkedin.com/in/alvin-zablan-b73a92117/)

DSA Crash Course [Part 83] - Counting Change Approach

In this lesson, Alvin explores the strategy to solving the following interview problem:

> Write a function, *counting_change*, that takes in an amount and a list of coins. The function should return the number of different ways it is possible to make change for the given amount using the coins.
>
> You may reuse a coin as many times as necessary.
>
> For example,
>
> counting_change(4, \[1,2,3\]) -&gt; 4
>
> There are four different ways to make an amount of 4:
>
> 1\. 1 + 1 + 1 + 1
>
> 2\. 1 + 1 + 2
>
> 3\. 1 + 3
>
> 4\. 2 + 2

```
counting_change(4, [1, 2, 3]) # -> 4
```

```
counting_change(8, [1, 2, 3]) # -> 10
```

```
counting_change(24, [5, 7, 3]) # -> 5
```

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: [**https://www.linkedin.com/in/alvin-zablan-b73a92117/**](https://www.linkedin.com/in/alvin-zablan-b73a92117/)

DSA Crash Course [Part 82] - Summing Squares Walkthrough

In this lesson, Alvin walks through the python implementation for the *summing_squares* problem.

Code along and test your work in the following editor workspace: <https://structy.net/problems/summing-squares?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: [**https://www.linkedin.com/in/alvin-zablan-b73a92117/**](https://www.linkedin.com/in/alvin-zablan-b73a92117/)

DSA Crash Course [Part 77] - Max Path Sum Approach

In this lesson, Alvin explores the strategy to solving the following interview problem:

> Write a function, *max_path_sum*, that takes in a grid as an argument. The function should return the maximum sum possible by traveling a path from the top-left corner to the bottom-right corner. You may only travel through the grid by moving down or right.
>
> You can assume that all numbers are non-negative.

```
grid = [
[1, 3, 12],
[5, 1, 1],
[3, 6, 1],
]

max_path_sum(grid) # -> 18
```

```
grid = [
[1, 2, 8,  1],
[3, 1, 12, 10],
[4, 0, 6,  3],
]

max_path_sum(grid) # -> 36
```

```
grid = [
[1, 2, 8, 1],
[3, 10, 12, 10],
[4, 0, 6, 3],
]

max_path_sum(grid) # -> 39
```

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: [**https://www.linkedin.com/in/alvin-zablan-b73a92117/**](https://www.linkedin.com/in/alvin-zablan-b73a92117/)

DSA Crash Course [Part 70] - Tribonacci Walkthrough

In this lesson, Alvin walks through the python implementation for the *tribonacci* problem.

Code along and test your work in the following editor workspace: <https://structy.net/problems/tribonacci?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: [**https://www.linkedin.com/in/alvin-zablan-b73a92117/**](https://www.linkedin.com/in/alvin-zablan-b73a92117/)

DSA Crash Course [Part 58] - Connected Components Count Walkthrough

In this lesson, Alvin walks through the python implementation for the *connected_components_count* problem.

Code along and test your work in the following editor workspace: <https://structy.net/problems/connected-components-count?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: [**https://www.linkedin.com/in/alvin-zablan-b73a92117/**](https://www.linkedin.com/in/alvin-zablan-b73a92117/)

DSA Crash Course [Part 56] - Undirected Path Walkthrough

In this lesson, Alvin walks through the python implementation for the *undirected_path* problem.

Code along and test your work in the following editor workspace: <https://structy.net/problems/undirected-path?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: [**https://www.linkedin.com/in/alvin-zablan-b73a92117/**](https://www.linkedin.com/in/alvin-zablan-b73a92117/)

DSA Crash Course [Part 54] - Has Path Walkthrough

In this lesson, Alvin walks through the python implementation for the *has_path* problem.

Code along and test your work in the following editor workspace: <https://structy.net/problems/has-path?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

DSA Crash Course [Part 27] - Sum List Walkthrough

In this lesson, Alvin walks through the python implementation for the *sum_list* problem.

Code along and test your work in the following editor workspace: <https://structy.net/problems/sum-list?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

How to Crack System Design Interviews - Part 9: Effective Communication

This video details the scoring criteria for system design interviews, focusing on scalability, reliability, and communication. We learn how to demonstrate strong technical skills and cultural fit:

- **Identify and mitigate bottlenecks:** We should proactively identify scalability and performance bottlenecks in our design and propose effective mitigation strategies.

- **Address potential failures:** We must analyze potential points of failure, including those in external systems, and explain how we would handle them.

- **Communicate clearly and effectively:** We need to present our solution in a structured and organized manner, using appropriate terminology and incorporating feedback constructively.

- **Demonstrate cultural fit:** We should align our design choices and communication style with the company's values and priorities, showcasing our understanding of their engineering culture.

- **Maintain professionalism:** We must conduct ourselves professionally throughout the interview, avoiding inappropriate jokes or comments and demonstrating openness to feedback.

[Gaurav Sen](https://www.linkedin.com/in/gkcs/) has conducted 1000s of system design interviews while working at Uber and building his [YouTube channel](https://www.youtube.com/@gkcs) to 500K+ subscribers. His platform [InterviewReady](https://interviewready.io/?_aff=JOINTARO) combines video explainers, live Zoom classes, and an automated System Design Judge.

How to Crack System Design Interviews - Part 5: Reviewing Your Solution

This section of the system design interview focuses on identifying and evaluating trade-offs within the proposed design. Here's how we navigate this:

- **Start with non-functional requirements:** We begin by analyzing how non-functional requirements, such as durability, influence design choices and user experience.
- **Analyze access patterns:** We consider how users interact with the system, examining the frequency of different requests and their impact on optimization strategies.
- **Make conscious trade-offs:** Based on our analysis, we make deliberate trade-offs, such as potentially sacrificing immediate consistency for faster read operations.
- **Use precise language:** We use clear and established engineering terms to facilitate accurate communication and efficient use of interview time.
- **Remain adaptable:** We stay open to feedback from the interviewer and adjust our design based on their input, acknowledging their understanding of the system.

[Gaurav Sen](https://www.linkedin.com/in/gkcs/) has conducted 1000s of system design interviews while working at Uber and building his [YouTube channel](https://www.youtube.com/@gkcs) to 500K+ subscribers. His platform [InterviewReady](https://interviewready.io/?_aff=JOINTARO) combines video explainers, live Zoom classes, and an automated System Design Judge.

Tech Career Growth Videos

Our instructional videos provide software engineers with insights needed for career growth. Masterclasses go incredibly in-depth on a specific tech topic while case studies are real examples from established engineering leaders.