$300 / month
Start free, decide later
Amal is an ML Software Engineer at Meta on IG Ads. He has more than 10 years of data and machine learning experience, previously worked as a Data Scientist at eBay, and holds a PhD in Statistics. He helps engineers prepare for ML and AI interviews, transition into ML engineering, and build promotion-ready impact stories.
Based on 17 verified mentee reviews
Trying to break into Big Tech, transition into AI Engineering, or move to the next level in your career?
Since 2020, I’ve helped 100+ mentees prepare for interviews and accelerate their careers in Machine Learning Engineering and AI Engineering. About 85% received offers within six months of mentorship.
My mentoring is practical, structured, and personalized. We define your target role and level, identify the gaps holding you back, and build a focused plan around the skills and interview signals that matter most.
Whether you are targeting hyperscalers such as Meta, Google, Amazon, Microsoft, Netflix, and NVIDIA, frontier AI labs such as OpenAI and Anthropic, a startup, or an internal promotion, I can help you deepen your technical skills, communicate your impact, and position yourself for your next opportunity.
I help mentees prepare for ML and AI roles involving LLMs, RAG, embeddings, vector search, reranking, agentic AI, tool calling, planning, memory, evaluation, guardrails, serving, and monitoring.
Mentoring and mock interviews:
1. ML, LLM, and Agentic AI System Design
Includes a free copy of my ML system design book. We cover problem framing, metrics, retrieval and ranking, RAG, vector databases, tool-using agents, memory, evaluation, latency and cost trade-offs, safety, serving, monitoring, and production design.
2. Coding Interviews
Pattern-first preparation focused on problem solving, edge cases, complexity, and confident communication.
3. Behavioral Interviews and Career Growth
Build a strong story bank, sharpen CARL responses, quantify impact, and communicate leadership, ownership, judgment, influence, and technical vision. I also help you demonstrate the scope and impact expected for promotions and senior roles.
4. Data Science and A/B Testing
Practice experiment design, power, bias, metric selection, logging issues, interpretation traps, and common interview traps.
5. Product Case Studies
Build metric trees, diagnose product problems, prioritize hypotheses, connect ML improvements to business outcomes, and deliver clear recommendations.
6. Statistical Modeling and ML Theory
Review assumptions, uncertainty, calibration, causal inference, ranking metrics, and model selection.
I’m a Machine Learning Engineer at Meta, building large-scale ML and AI systems for ads ranking, retrieval, personalization, and agentic AI. My work spans experimentation, distributed training and inference, low-latency serving, monitoring, and tool-using AI systems.
Previously, I was a Data Scientist at eBay, where I developed learning-to-rank systems for search. I also hold a PhD in Statistics.
You need a clear target, honest feedback, deliberate practice, and guidance tailored to the role and level you want.
Message me with your target role and biggest challenge, and let’s map the shortest credible path to your next ML or AI Engineering role or promotion.
5 out of 5 stars
I highly recommend working with Amal if you want to elevate your ML System Design and technical communication skills. He provides an exceptional level of detail in his mock interviews, assessing not just your technical knowledge, but also your delivery, pacing, and interviewer interaction. Amal taught me how to properly structure my high-level designs, budget my time efficiently across clarifications, and deliver on various expectations. His mentorship bridges the gap between having good ideas and executing them perfectly under pressure. He is an asset to any ML engineer aiming for top-tier roles.
Standard Plan • 3 months
5 out of 5 stars
Standard Plan • 3 months
5 out of 5 stars
I'm working with Amal during my job search and interview preparation for ML and AI roles. He has helped me organize my job search, choose what to focus on each round, and show the right signals even with limited time. He provides guidance across the full interview stack, including my CV, behavioral interviews, ML system design, and LeetCode. I also appreciate that he understands and guides me on recent GenAI engineering trends. For LeetCode, he helps me study by patterns, with deeper explanations and templates instead of just solving random problems. His mentorship has helped me feel more focused, prepared, and confident in my next steps.
Standard Plan • 6 months
You tell Amal your goals. They see exactly what you want to work on before session one.
You meet within days. Amal reviews your application and books your first session, usually within a day or two.
You leave with a plan. Concrete next steps and a weekly rhythm from your very first week.
Amal Agarwal
ML Software Engineer at Meta (IG Ads)
Enter your email and we'll let you know when Amal has open spots. You'll also get a link to manage your wishlist – no account needed.
Book a free intro call with Amal
Connect with Amal in a quick call (usually 15-20 minutes)
One-off sessions with Amal
One-off sessions are a great option if you're looking for specific advice on a certain topic.
Your resume often decides whether you get the interview or get overlooked. This MentorCruise session is designed to help you strengthen your resume so it …
Interview preparation is about showing up with clarity, confidence, and a strong sense of how to present your experience. This MentorCruise session is designed to …
What's included in the trial?
Every trial is a little different–here's what Amal says about their trial:
We'll meet for a quick call (usually under 30 minutes) where we:
- Break the ice and introduce ourselves
- Discuss your goals and how I can support you
- Coordinate logistics like time zones, meeting frequency, and communication methods
