$150 / month
2 calls per month (60min/call)
Unlimited Q&A via chat
Expect responses in 24 hours or less
Hands-on support
One-off sessions with Amal
One-off sessions are a great option if you’re looking for specific advice on a certain topic.
Having a good resume on hand when going on the job hunt is crucial, and will make your search a lot easier. Even if you're not looking for a new position right now, having an up-to-date CV that sells your experience to future potential employers …
Some big interviews coming up? In this 1-hour session, a mentor with hiring experience will act as a technical interviewer and ask you some standard hiring questions that you might hear in one of your future interview too, and will evaluate your replies. As a …
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
Over the past few years, I've helped 30+ mentees successfully prep for interviews and advance their careers in ML engineering, data science, and applied research. My mentoring approach is relaxed yet structured, always focused on your individual goals and helping you build confidence and skills efficiently. I can help with resume/ LinkedIn feedback, let you choose either from a variety of Data and ML interview mock practice sessions or help you in your career transition/ growth. Here are specific mock interviews I can offer –
1. ML System Design: Tackle system design challenges like ranking, retrieval, personalization, and experimentation.
2. Coding Interviews: Solve Leetcode problems together, with clarity, accuracy, and efficiency emphasizing on interview communication.
3. Behavioral Interviews: Structure your experiences clearly to highlight your impact and strengths.
4. Data Science & A/B Testing: Typically design and analysis of online experiments, with a focus on interview gotchas.
5. Product Case Studies: Enhance product intuition and analytical thinking to tackle business product questions.
6. Statistical Modeling & Theory: Articulate simple yet popular concepts breaking down the 4 signals interviewers look for.
If you're ready to level up your ML or data science career, let’s chat! Reach out, and we’ll get started on your next step.
A bit about myself –
I'm currently a Machine Learning Engineer at Meta, where I help build large-scale ML systems that power ads ranking, retrieval, and personalization. Before joining Meta, I was a Data Scientist at eBay, working on ML models to enhance search ranking, essentially connecting millions of users with content they'll love based on their behavior and lots of experimentation. With a PhD in Statistics and practical industry experience, I enjoy using machine learning to tackle real-world problems in ways that actually work at scale.
Greetings! I’m a Machine Learning Engineer fueled by a mission to engineer impactful solutions.
ML Software Engineer at Meta; prev Lead Data Scientist in eBay Search Ranking; Ph.D. Statistics - amalag-19
View amalag's profile on LeetCode, the world's largest programming community.
Notify me when Amal has new spots
We will send you a quick email if Amal has new open spots for mentorship, and only in that case!
Book a free intro call with Amal
Connect with Amal in a quick call (usually under 30 minutes)
