Savinay Narendra
Applied AI/ML Lead @ JPMorgan Chase & Co.
- Role
- Applied Ai Ml Lead at JPMorganChase
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
Experience
Applied Ai Ml Lead
Feb 2023 — Present · Palo Alto, CA, US
Architected core components of JPM’s enterprise LLM Suite (query rewriting, full-document retrieval, synthetic data pipelines), improving F1-Score by 10-15% and reducing hallucinations 30%+ across multiple business units.• Led development of LLM-based mortgage attribute extraction system processing 100K+ docs/month, accelerating regulatory reporting by 40% and generating ~$10M/year impact.• Built contract deviation detection + clause comparison pipeline using LLMs + DIT, adopted by legal teams with$5M/year benefit.• Designed Ray + Kubernetes distributed training infrastructure, reducing large-scale model training latency by 70%(presented at Ray Summit 2023).• Finetuned Mixtral-8x7B, Llama-3-8B using LoRA for credit policies, contracts, and document QA processing hundreds of thousands of documents.• Developed RAG-based helpdesk search improving resolution accuracy by >30%.
Education
Coursera
Deep Learning Specialization
2017 — 2018
Indian Institute of Technology, Kharagpur
Bachelor of Technology (B.Tech.)
2008 — 2012
Texas A&M University
Master’s Degree, Computer Science ( Track - AI/ML)
2016
Udacity
Deep Learning Nanodegree
2019 — 2020
Udacity
Nanodegree, Data Science
2018 — 2019
Stanford University
Artificial Intelligence Professional Program, Artificial Intelligence
Skills
- Shell Scripting
- Python
- Html
- Analytics
- Business Strategy
- Hive
- Data Structures
- Css
- Neural Networks
- C
- Optimization
- Front-End Development
- Product Development
- Git
- Sql
- Linux
- Ajax
- Cnn
- Flask
- Machine Learning
- Mysql
- Django
- Mongodb
- Hadoop
- Angularjs
- Product Management
- Windows
- Start-Ups
- Jquery
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