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 an LLM-powered accreditation & quality-management (QMS) agent
that helps hospital quality teams work through complex regulatory standards. I architect the agent with the Claude SDK on
AWS Bedrock, design retrieval over regulatory-standard and policy knowledge bases, and ship responsible-AI guardrails,
including a citation-verification gate that stops fabricated regulatory citations from reaching users, plus latency and cost optimizations profiled from real production traffic.
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 the backend for a healthcare accreditation/QMS AI agent:
streaming LLM inference over AWS Bedrock, serverless data loaders, and a multi-tool orchestration layer with proper validation,
error handling, and timeout controls. I focus on reliability and performance: eliminating silent hangs in streamed responses and shipping caching
and prefetch optimizations that cut redundant serverless calls and model round-trips per request.
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.
