I'm Fatima, and I bring over a decade of expertise in Machine Learning and Data Science from both industry and academia. I'm currently working as an Applied Scientist at Amazon, primarily focusing on Generative AI models, especially in the realm of computer vision. I earned my PhD from the University of British Columbia. I'm not only involved in interviewing at Amazon, but I've also gone through numerous interviews myself after my graduation.

Senior Applied Scientist @ Amazon Science

Ex-Twitter, Ex-Pinterest, Seasoned Machine Learning Expert with Over 11+ Years of Experience in ML, Specializing in Large-Scale Predictive Modeling, Ranking & Recommendation Systems, and Generative AI.

BEng in Computer Science and Engineering. MSc in Artificial Intelligence. 10 years of work experience in the industry as a Machine Learning Engineer. I have worked with Apple, Microsoft Research, UBS, and Credit Suisse. Moreover, I have taken over 200 interviews, including Coding, System Design, Machine Learning, and Behavioral.

** I will be out of the country between March 27th - April 6th**

** Please confirm date availability before booking a session, calendar is not always up to date. **

Senior Machine Learning Engineer at Apple. Experienced in system design (ML and general SWE), data structures, algorithms and behavioural rounds. I focus on comprehensive hands-on testing and constructive feedback with examples.

I am excited to assist you in securing your next job offer (MLE, ML Scientist, SDE, Data/Research/Applied scientist roles). I can help you with tailored & personalised coaching sessions covering-

• mock interviews

• mentorship sessions

• career coaching discussions

• resume reviews

• resume rewriting

I have 9.5+ YOE in AI/ML across MNCs like Amazon, Cisco, Microsoft, Oracle and have mentored 85+ people.

I have developed & deployed 39+ ML models so far. Currently as a Principal Applied Scientist, I lead a team of 18 engineers & ML scientists, solving Org level business problems for 10M+ customers.

I have expertise in Machine Learning, Deep Learning, NLP, LLM, GenAI, Recommendation models as well as MLOps, SDE coding & HLD. I have adopted best practices of RAG, Agentic-AI solutions and LLM based OpenAI, LLama, DeepSeek, Gemini, Claude Anthropic, Mixtral models.

I am excited to assist you in securing your next job offer (MLE, ML Scientist, SDE, Data/Research/Applied scientist roles). I can help you with tailored & personalised coaching sessions covering-

• mock interviews

• mentorship sessions

• career coaching discussions

• resume reviews

• resume rewriting

I have 9.5+ YOE in AI/ML across MNCs like Amazon, Cisco, Microsoft, Oracle and have mentored 85+ people.

I have developed & deployed 39+ ML models so far. Currently as a Principal Applied Scientist, I lead a team of 18 engineers & ML scientists, solving Org level business problems for 10M+ customers.

I have expertise in Machine Learning, Deep Learning, NLP, LLM, GenAI, Recommendation models as well as MLOps, SDE coding & HLD. I have adopted best practices of RAG, Agentic-AI solutions and LLM based OpenAI, LLama, DeepSeek, Gemini, Claude Anthropic, Mixtral models.

I'm thrilled to have you here. I'm Sam Saberi, your trusted guide in the exciting realm of data science, machine learning, and artificial intelligence. With a deep-rooted passion for technology.

Currently holding the role of Staff ML engineer at Best Buy, I've been fortunate to be part of groundbreaking projects that have reshaped industries. Yet, what truly ignites my enthusiasm is the opportunity to mentor and empower individuals like you on their career paths.

My expertise extends across various facets of technology, including data science, cloud computing, and extensive hands-on experience in bioinformatics. I've harnessed the power of machine learning to make a difference in the healthcare domain, where precision and innovation are paramount.

I've successfully coached countless individuals, helping them master the art of interviews by offering mock interview sessions, personalized feedback, and industry-specific insights.