- Engineered and deployed scalable LLM-powered clinical documentation processing pipelines utilizing Python, FastAPI, and OpenAI APIs, reducing manual review turnaround time by 35% across regional healthcare facilities.
- Architected a production-grade Retrieval-Augmented Generation system integrated with Pinecone vector databases and LangChain, improving medical knowledge retrieval precision and reducing hallucination rates by 28%.
- Developed autonomous AI agents using function calling and semantic search frameworks to automate patient triage workflows, handling over 15,000 monthly automated inquiries with a 94% resolution accuracy.
- Optimized microservices backend infrastructure and asynchronous API endpoints deployed on AWS, Lambda, ECS and Docker, reducing system latency by 42% under high-concurrency workloads.
- Implemented strict model evaluation protocols, data masking, and JWT, OAuth2 security guardrails to ensure full HIPAA compliance across all generative AI applications and cloud data storage layers.
Introduction
Home
AI Software Engineer with 4+ years shipping 7-agent LLM orchestration, RAG pipelines, and payment infrastructure that scaled to 350K users.
4+
Years Experience
94%
AI Resolution Accuracy
350K+
Users Scaled To
Who I am
About
AI Software Engineer with 4+ years of experience building agentic AI platforms, production backend systems, and payment infrastructure at scale. Shipped 7-agent LLM orchestration with LangGraph, RAG pipelines using vector embeddings, and B2B e-commerce features scaling from 150K to 350K users. Completed M.S. in Computer Science at DePaul University (GPA: 3.78, June 2026).
Education
June 2026 · GPA: 3.78
M.S. Computer Science
DePaul University, Chicago, IL
June 2019 – June 2022
B.E. Computer Engineering
Pillai HOC College of Engineering, India
Achievements
- ★Won Most Original Idea at HackDePaul 2025 for Sukoon — an AI wellness scheduler built in 24 hours
- ★Attended 2 hackathons in the US
Toolkit
Skills
AI Software Engineering & GenAI
Backend & Data
Frontend
Cloud, DevOps & Testing
Career path
Experience
Selected work
Projects
Featured Project
Feb 2026 – Mar 2026OptiFi
Production multi-agent AI platform built end to end: LangGraph orchestration, RAG pipelines with pgvector semantic search, FastAPI REST APIs, React and TypeScript frontend, PostgreSQL on AWS Lambda with OAuth2 auth, GitHub Actions CI/CD, and CloudWatch monitoring.
ETL ingestion pipelines reduced manual processing by 80%.
Portfolio Trend
+18.4%
AI Signal
Buy momentum
Project
Feb 2026 – Mar 2026AI Business Analyst
AI-powered business analytics dashboard built end to end with Next.js and Prisma, integrating Groq and OpenAI LLM APIs to generate data-driven insights, with NextAuth authentication and Recharts visualizations.
Reduced manual data exploration effort by 80%.
Project
Apr 2025 – Jun 2025Real Estate Management Platform
Enterprise REST API backend with Java Spring Boot featuring role-based access control (BUYER, AGENT, ADMIN), JWT-secured authentication via Spring Security, rate-limiting middleware, and centralized exception handling. Relational MySQL schema with Spring Data JPA and JUnit automated test suite.
Production-grade reliability and data integrity for enterprise use.
Project
Oct 2025 – Nov 2025Personal Activity Timeline
Full-stack personal dashboard aggregating activity across GitHub, Notion, and Todoist into a unified timeline view. Integrated three OAuth2-secured third-party REST APIs with normalized data models. ASP.NET Core backend with modular REST API service contracts and CI/CD deployment pipeline.
Unified cross-platform activity tracking with consistent data models.
Project
Jan 2025 – Mar 2025gRPC Distributed File Retrieval
Distributed client-server system in Java using gRPC and Protocol Buffers for remote file retrieval and keyword search. Designed RPC service contracts and multithreaded backend to handle concurrent requests. Benchmarked latency and throughput across concurrency levels.
Validated distributed architecture scalability and fault tolerance under load.
Project
2025CI/CD Pipeline and Cloud Deployment
Production-grade Jenkins CI/CD pipeline with automated build, test, SonarQube code quality gates, OWASP security scanning, and JaCoCo coverage enforcement. Containerized with Docker and deployed to AWS EC2 via Terraform infrastructure-as-code. Configured AWS CloudWatch monitoring dashboards.
Full production observability with automated quality gates and security scanning.
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