AI/ML Engineer
I'm currently pursuing my M.S. in Computer Science at the University of
Illinois, building on my
B.E. in Computer Engineering from Pune University. With 3+ years of
specialized experience in artificial intelligence and machine learning, I've
successfully developed and deployed production-grade AI systems that have driven measurable
business impact.
At MedLaunch Concepts in Denver, I'm building LLM-powered clinical decision support tools
using LangChain, LangGraph, and FastAPI. I design RAG pipelines over
proprietary medical knowledge bases (FAISS + OpenAI API) and implement responsible AI guardrails to ensure clinical
accuracy and hallucination mitigation by applying production AI skills directly to healthcare device commercialization workflows.
My expertise spans the entire machine learning lifecycle from data preprocessing and feature engineering to model development,
optimization, and production deployment. At Product Dossier Solutions (Kytes), I architected a production
RAG system using LangChain, Mistral-7B, and FAISS that serves 10,000+ users
across six enterprise clients with 95% query accuracy and sub-50ms retrieval latency. I have built AI inference APIs using
gRPC integrated with Spring Boot microservices, handling 110,000+ daily requests with 99.5% uptime.
I specialize in TensorFlow, PyTorch, LangChain, and deploying ML models
on cloud platforms (AWS, GCP) to serve thousands of concurrent users.
Backend Engineer
I'm currently pursuing my M.S. in Computer Science at the University of
Illinois, building on my
B.E. in Computer Engineering from Pune University. With 3+ years of
hands-on experience in backend development and distributed systems, I've
architected and delivered scalable, high-performance applications serving thousands of
users.
At MedLaunch Concepts in Denver, I'm building healthcare AI infrastructure with
FastAPI microservices — designing RESTful APIs with proper validation, rate limiting, and error handling
that power clinical decision support workflows. I integrate LangChain LLM inference with FAISS
vector databases to deliver real-time medical knowledge retrieval at production scale.
I excel in building robust backend systems with Java Spring Boot, Django, and
FastAPI, specializing in microservices architecture, gRPC, and
RESTful APIs. At Product Dossier Solutions (Kytes), I built high-throughput distributed
systems handling 110,000+ daily requests through Spring Boot microservices communicating via gRPC and REST, implementing
load balancing, Redis caching, and asynchronous queues to reduce response time by 40%. I developed an automated deployment
system that reduced deployment time by 67%, supporting 10+ daily deployments. At Dasha Krit Technology (D10X),
I architected a multi-tenant SaaS platform from scratch using Django and PostgreSQL, designing custom authentication,
FSM-based workflow management, and RESTful APIs supporting 10+ models deployed to GCP serving 10+ enterprise clients.
