Jeet Ashwin Shah
Software Engineer building AI-driven products @ ASANTe
- Role
- Software Engineer at Asante
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Jeet Ashwin Shah
I am a Data Scientist and AI/ML Engineer with an MS in Data Science from the University of Colorado Boulder. My expertise spans Machine Learning, Deep Learning, NLP, RAG, and Generative AI, applied through projects such as the Symptom-to-Disease Assistant (real-time NLP pipeline with <2s latency), the Predictive Triage Assistant (94% accurate triage model), and a Global Health Dashboard (SQL + Tableau decoding ICD-coded disease trends). I enjoy building scalable AI systems, mentoring peers, and collaborating across teams to deliver solutions that are both technically strong and practical for end users.Currently, I am working as a Data Scientist at ASANTe, where I contribute to recommender systems, admin dashboards, and database schema engineering under senior engineers. I’ve tackled challenges like cold-start issues in recommendations and query inefficiencies in schema design, applying tools such as Python, SQL, gRPC, Docker, Streamlit, and PostgreSQL to deliver scalable, production-ready solutions. Alongside this, I’ve explored Generative AI and RAG pipelines (e.g, Multi-News RAG Summarizer with Mistral 7B + FAISS), highlighting my ability to bridge modern AI research with real-world applications.
Experience
Software Engineer
May 2025 — Present
Migrated AWS Lambda REST APIs to gRPC microservices, integrating AWS Ingress Controller and Cognito authentication to improve reliability, scalability, and cut response latency by ~40%.• Integrated frontend and backend registration pipelines for business, beneficiary, and user onboarding, resolving API synchronization, data persistence, and authentication bugs across services.• Refactored and optimized PostgreSQL schema and SQLAlchemy models, reducing query latency by ~50% and enabling cleaner migrations for multi-relational datasets.• Collaborated cross-functionally to implement CI/CD pipelines and mentor a capstone team on an Admin Dashboard for KPI tracking, ensuring consistent architecture and code quality across projects.
Education
University of Colorado Boulder
Master of Science - MS, Data Science
Indian Institute of Information Technology Kottayam
Bachelor of Technology - BTech, Computer Software Engineering
2019 — 2023
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