Deepanshu Mehta

Architected a RAG-based document intelligence platform for healthcare data governance, reducing manual documentation effort by ~70%. Built an agentic AI pipeline using LangGraph to autonomously compare competitor policies and auto-draft hardened recommendations.

Designed a high-throughput FastAPI wrapper with multithreading and multiprocessing, handling thousands of concurrent healthcare data requests with zero message loss. Implemented Redis caching and enterprise-grade authentication for HIPAA-aligned access control.

Led migration of monolithic services to serverless architecture on AWS Lambda, reducing infrastructure costs by 35%. Designed event-driven queue system using AWS SQS and EventBridge, improving order processing throughput by 50%.

Contributed to Instahyre's hiring portal as a full-stack engineer, focusing on recruiter-side pipeline management and candidate tracking. Implemented idempotent priority queues with RabbitMQ and optimized Elasticsearch indexing, reducing search latency by 45%.

Developed and maintained Cashify's internal Inventory Management System, handling SKU lifecycle from acquisition to resale. Converted synchronous Django modules to async, improving I/O-bound API response times by 35%.

Built backend for a healthcare app monitoring user heartbeats and sleep patterns, integrating wearable data to generate doctor-facing health reports. Engineered a mood-based multimedia recommendation engine using collaborative filtering, improving user engagement by 40%.

Completed a certification in MongoDB NoSQL Basics, covering CRUD operations, aggregation, indexing, data modeling, and transactions.

Completed a certification in Artificial Intelligence with Python, covering ML/DL fundamentals, CNNs, image classification, and NLP basics.

Pursued a Bachelor of Technology in Electronics & Communication Engineering from Bennett University, Greater Noida, from 2016 to 2020.