How To Be An Effective Tech Lead [Part 16] - Be Visible

While you need to lead with selflessness and put the team first as a tech lead, this doesn't mean that you can't be selfish at all. As a tech lead, it's critical for you to get proper credit as well. This lesson teaches you:

- The main tool you have to boost your visibility and prove your depth of contributions
- How to be visible in general

Maximizing a Severance Package 5/9 - Preparing Your Case

Let's talk about how to prepare your case to maximize your severance package.

- Connect with [Ethan on LinkedIn](https://www.linkedin.com/in/ethanevansvp/)
- Taro members get a discount to join [**Ethan's Level Up community**](https://levelupwithethanevans.substack.com/taro25)

Become An Engineer Influencer [Part 15] - Headline/Preview Testing

Become An Engineer Influencer [Part 14] - Tips on Writing

Become An Engineer Influencer [Part 13] - Importance of Process

Become An Engineer Influencer [Part 10] - Story-Telling

Become An Engineer Influencer [Part 8] - Bottom-Funnel Channels

Become An Engineer Influencer [Part 5] - Top-Funnel Channels

Become An Engineer Influencer [Part 4] - Strategy #2: Social Media is a Sales Funnel

Learnings from SWE to Senior SWE at LinkedIn

*If you're not part of Taro Premium, join with Paras's link to receive a discount: [**https://www.jointaro.com/r/parass876/**](https://www.jointaro.com/r/parass876/)*

Jumping into Software Engineering from a non-technical background can be challenging, but it’s far from impossible. Join us for an inspiring session with [**Paras Sidhu**](https://www.linkedin.com/in/paras-sidhu/), who not only transitioned from mathematics into software engineering, but also cracked big tech in just 2 years and earned a promotion to Senior Software Engineer within another 2 years.

### **What to Expect**

1. **Actionable Tips**: Paras will share his experiences and actionable tips on his journey from Software Engineer to Senior Software Engineer, providing practical examples that you can apply to your own career path.
2. **Insightful Learnings**: Gain valuable insights into how to navigate and excel in big tech, even if you come from a non-technical background.
3. **Q&A Session**: Don’t miss the chance to ask your burning questions and get personalized advice from someone who has successfully made the transition and accelerated his career.

Mark your calendars and prepare to be inspired! Don’t miss out on this chance to learn from Paras' unique journey and gather tips that could propel your own career forward.

Looking forward to seeing you there!

Taro Book Club: Designing Data Intensive Applications - Chapter 6 (Partitioning)

Topic: Chapter 6 - Replication

Session led by: [Bhavana Gannu](https://www.linkedin.com/in/bhavanagannu/) and [Suraj Singh](https://www.linkedin.com/in/suraj-singh-495b192b/)

In this #taro-bookclub discussion, we talked about Chapter 6 of [**"Designing Data-Intensive Applications"**](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321) by Martin Kleppmann.

Taro Book Club: Designing Data Intensive Applications - Chapter 5 (Replication)

Topic: Chapter 5 - Replication

Session led by: [Rohit Katyal](https://www.linkedin.com/in/rohitkatyal/)

In this #taro-bookclub discussion, we'll be talking about Chapter 5 of [**"Designing Data-Intensive Applications"**](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321) by Martin Kleppmann.

Here's the agenda:

- Let’s get to know each other with some quick introductions.
- We’ll break down and discuss the key concepts from Chapter 5.
- There will also be time for any questions and answers you might have.

Please send your questions ahead of time to [**Rohit Katyal**](https://www.linkedin.com/in/rohitkatyal/) in the [**Taro Premium**](https://www.jointaro.com/membership/) Slack, so that they can be included in the discussion.

Get ready for another engaging and informative session!

Paper Reading: Self-supervised Vision Transformers (Foundational Model)

Session led by [Mandar Deshpande](https://www.linkedin.com/in/mandardeshpande1995/)

Dino is a self-supervised learning approach for computer vision tasks. It leverages vision transformers without using any labeled data. Dino v2 introduces several improvements over its predecessor, enhancing performance and scalability. It achieves state-of-the-art results on various benchmarks. Notably, Dino v2 demonstrates strong performance on downstream tasks such as image classification and object detection.

We will be walking through

- Basics of computer vision
- Self supervised learning
- ViT (vision transformers)
- DINO
- DINO v2 model

Paper link - [**https://arxiv.org/abs/2304.07193**](https://arxiv.org/abs/2304.07193)

[Event link](https://www.jointaro.com/event/paper-reading-dino-v2-ie-foundational-model-for-computer-vision/)

Taro Book Club: Designing Data Intensive Applications - Chapter 3

Topic: Chapter 3 - Storage and Retrieval

In this #taro-bookclub discussion, we talk about Chapter 3 of [**"Designing Data-Intensive Applications"**](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321) by Martin Kleppmann.

Here's the agenda:

- Let’s get to know each other with some quick introductions.
- We’ll break down and discuss the key concepts from Chapter 3.
- There will also be time for any questions and answers you might have.

Thanks to [**Suraj Singh**](https://www.linkedin.com/in/suraj-singh-495b192b/) and [**Sangavi Pari**](https://www.linkedin.com/in/sangavi-pari/) for leading this session!

Ace Your Tech Interview As A Software Engineer [Part 18] - The 3 Core Interview Stages

So a tech company has decided to not throw your resume straight in the trash and are giving you a chance. How does the interview process work? This lesson teaches you:

- What the first round of *screeners* is
- What the second round of *phone screens* is (and the history behind the term)
- What the final round of onsites is (and the history behind the term)

Successful Disagreements for Software Engineers

[**Ryan Alexander Wiens**](https://www.linkedin.com/in/ryan-wiens/) is an experienced English communication coach who has worked with more than 70 SWEs. In this workshop, he shares the nuances of expressing disagreement in a constructive and respectful manner. With years of coaching under his belt, Ryan understands the challenges faced by engineers when English is not their first language.

**Key Takeaways:**

- Understand the phases of a diplomatic disagreement.
- Interactive exercises including breakout rooms and real-time Q&A.
- A phrase bank for participants to use in their daily communications.
- Practice scenarios on common workplace topics for SWEs.

Ryan discussed the importance of including the right words and phrases, clear thinking, defined outcomes, and effective communication frameworks. He underscored the need for skills such as active listening, presenting new ideas, building rapport, and confidence in practical application. Ryan also led a discussion on the topic of successful disagreement at work, suggesting that the level of comfort with disagreement might depend on the situation and culture of the workplace.

**Disagreement's Importance in the Workplace**

Ryan emphasized the importance of expressing disagreement in the workplace, as it leads to better decision making, avoids useless work, and creates opportunities for learning and growth. They stressed the need for disagreement to be done respectfully, keeping it impersonal and listening to others before forming a response. Additionally, they suggested picking battles wisely and staying calm and respectful. 

**Constructive Disagreement Framework**

Ryan introduced a framework for constructive disagreement that emphasized respect, evidence-based opinions, and softening disagreements. He encouraged attendees to suggest phrases to use when expressing disagreements respectfully. Instead of using the word "but" in conversations, Ryan suggests alternatives to soften disagreements. At the same time, you should own your disagreements and remove bias from the message. In situations of imbalanced authority, Ryan advised picking battles carefully and being strategic about which battles to pursue.

Ryan led a group activity aimed at fostering disagreement resolution skills. Find the [worksheet here](https://drive.google.com/file/d/1G0As8QS7MZ4O0PTCeDEPeSborW9ahU_m/view?usp=sharing).

Additional resources: 

- [\[Masterclass\] How To Build Deep Relationships Quickly In Tech](https://www.jointaro.com/lesson/tyaPFMXPoz2pmzB7OVzt/masterclass-how-to-build-deep-relationships-quickly-in-tech/)
- [\[Masterclass\] How To Work Better With Your Engineering Manager](https://www.jointaro.com/lesson/2PbJb2fuqF3iMHy57eEg/masterclass-how-to-work-better-with-your-engineering-manager/)

Why Being A Good Interviewer Is So Hard

Every software engineer know what it's like to be interviewed, but few know what it's like being on the other side of the table giving the interview. It's important to understand this flipped perspective as it will help you resonate with the interviewer.

Here are the core points from the video:
- A good interviewer has 2 core goals:
  - Get signal on the candidate's abilities
  - Provide a great candidate experience
- Unfortunately, these 2 things usually conflict. In order to get good signal, the candidate often times has to struggle to solve a tough problem. Struggle is generally not associated with good experience.
- *A truly good interviewer makes it so that the candidate enjoyed their round even if they didn't pass.* This means that you need to get signal in a positive way by building the candidate up and bringing out their true skills without solving too much of the problem for them.

Related resources:
- [[Taro Top 10] Effective Interview Prep](https://www.jointaro.com/playlist/HLBYxJI7D1j8STolrwum/)
- [[Masterclass] How To Ace Your Big Tech Interview - Data Structures And Algorithms](https://www.jointaro.com/lesson/V4sTACzfOh22nMVcUV3w/masterclass-how-to-ace-your-big-tech-interview-data-structures-and-algorithms/)
- [[Masterclass] How To Ace Your Big Tech Interview - System Design](https://www.jointaro.com/lesson/J3I9fTW9ulr6T9KjxpqY/masterclass-how-to-ace-your-big-tech-interview-system-design/)
- [How Alex Got Into Meta With 0 Prior LeetCode Experience](https://www.jointaro.com/lesson/ZYiTbN21FsqFxFdpwt5a/how-alex-got-into-meta-with-0-prior-leetcode-experience/)

When Should I Actually Use AI During The Interview?

In this lesson we talk about when and how to use AI effectively during an AI-assisted coding interview.

- **Find the right balance with AI:** Learn how to avoid over-delegating core logic to AI or underusing it and running out of time, by aiming for the “middle path” that maximizes leverage while minimizing risk.
- **Accelerate typing, not thinking:** Discover why you should use AI for scaffolding, boilerplate, and clearly defined test cases—but retain ownership over algorithms, data structures, and key design decisions.
- **Optimize for easy verification:** Understand that AI is most helpful when you already know what needs to be built and can quickly verify the output, and least helpful when you’re still figuring out the correct approach.

How Am I Being Evaluated Now?

In this lesson we talk about how candidates are evaluated in AI-assisted coding interviews and how the scoring rubric has shifted.

- **Understand what still matters—and what matters more:** Learn how the core engineering method (problem exploration, solution design, implementation, and testing) remains the foundation, but with greater emphasis on deep problem exploration and structured thinking before coding.
- **Recognize why problem solving is now the primary signal:** Because AI handles much of the typing, interviewers focus more heavily on your ability to form a clear plan, choose the right algorithms and data structures, and articulate trade-offs.
- **Master delegation and verification with AI:** Discover how execution now means directing AI effectively—accelerating typing but not thinking—and how careful verification of AI-generated code is a major part of your evaluation.

Introducing The Active Users Problem

In this lesson we talk about a realistic example problem used throughout the course to simulate an AI-assisted coding interview.

- **Understand the problem context and deliverables:** Build the back-end logic for an active users metrics dashboard, including calculating daily unique active users and rolling 7-day active user counts from messy, real-world log data.
- **Work within a structured codebase:** Learn how to navigate starter code with helper functions (e.g., ID normalization, bot filtering) and focus on implementing two core functions while leveraging provided tests.
- **Set expectations for interview complexity:** Explore how AI-assisted interviews can range from simple LeetCode-style tasks to multi-file, production-like environments—and how this example reflects an average level of complexity.

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.