Services
$300 / month
Start free, decide later
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1
Free 7-day trial
No charge until day 7. Cancel anytime. -
2
Ongoing calls + chat
2 × 45-min calls per month, unlimited Q&A. Replies in 24 hours or less. -
3
No lock-in
Month to month, no contract.
MentorCruise summary
Amal is a Senior ML Software Engineer at Meta, working on Instagram Ads. He has more than 10 years of experience in data and machine learning, a PhD in Statistics, and previous experience as a Data Scientist at eBay. He helps candidates strengthen resumes, prepare for ML and AI interviews, and move into new roles or promotions.
Based on 19 verified mentee reviews
- Reviewers often praise his detailed, actionable feedback on ML system design answers and mock interviews.
- Mentees value his structured plans for organizing interview preparation around their target roles and upcoming rounds.
- Several reviewers praise his clear frameworks and practical feedback for behavioral interviews and technical communication.
About
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.
What mentees say
5 out of 5 stars
Amal has been a great mentor, he worked with me to get my resume to a much stronger version then what we started with. Not only that, he guided me well on the prep part too. Thanks a lot Amal for our sessions, they were super useful.
Ayush
Lite Plan • 3 months
5 out of 5 stars
I had a great experience working with Amal as my mentor. He was incredibly helpful in preparing me for behavioral interviews, providing clear structure and actionable feedback that made a real difference in my confidence and performance. Amal took the time to understand my background and tailored our sessions to highlight my strengths while improving areas where I needed more clarity. His guidance on framing answers, telling compelling stories, and handling common behavioral questions was especially valuable. What stood out most was his practical approach—every session left me with specific improvements I could apply immediately. I feel much better prepared for interviews thanks to his support. I would highly recommend Amal to anyone looking to strengthen their behavioral interview skills.
Satya
Standard Plan • 9 months
5 out of 5 stars
I have been working with Amal for a little under 6 Months. My goal was to set a roadmap and work towards an Applied Machine learning/ML engineering roles at big tech. I'm glad to say that I have achieved my goal finally and I will be joining Microsoft as an applied scientist. Amal has helped me a lot through all steps of the process. - Preparing and studying for interviews - Coding Round Mocks - System Design Mocks - Resume Reviews - Behavioural scenario preparation I'm excited to continue working with him and excelling in my career. If you are in a position where you need structured guidance, I would highly recommend working with him, he can help you improve not just your interviewing skills, but also your overall profile in general.
Karan
Standard Plan • 6 months
Get to know Amal
What happens when you start
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.
