Summary
Ankit Saxena is an Applied AI/ML Lead with 9+ years of experience building production-grade ML and deep learning systems across finance, logistics, and large-scale search. He has led vector retrieval and semantic search platforms at Amazon that improved relevance and user engagement significantly, and now drives applied AI at JPMorgan Chase. Skilled in cloud-native deployment (AWS, SageMaker, OpenSearch) and GenAI techniques—LLM prompt-tuning, fine-tuning, RAG and agentic workflows—he turns research prototypes into latency- and cost-optimized services. His work combines rigorous evaluation (high Precision/MAP/MRR metrics) with practical engineering wins like automated test-case generation and distributed inference that cut costs and manual effort dramatically. Based in Hyderabad, he pairs an MS in Data Science with hands-on experience spanning from feature engineering and model benchmarking to scalable API and pipeline delivery. An often-overlooked strength is his track record of automating tedious processes (taxonomy creation, test generation, invoice review) to unlock measurable business impact.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.), Information Technology, 7.0/10.0 CGPA, Bachelor of Technology (B.Tech.), Information Technology, 7.0/10.0 CGPA at Jaypee University of Information Technology
Master of Science (MS), Data Science, 3.6/4.0, Master of Science (MS), Data Science, 3.6/4.0 at Indiana University Bloomington
Student, Student at Delhi Public School Greater Noida
English, Hindi, French