Software Engineer | AI/ML Engineer | LLMs, RAG & AI Agents
Building LLM applications, RAG pipelines, and AI agents that are reliable enough for production
More About Me
Software engineer focused on applied AI/ML: LLM applications, RAG pipelines, AI agents, and the data and backend services behind them. At Vesta Teleradiology I built retrieval and prompt workflows for an LLM-powered clinical assistant and GCP data services that process 20K+ imaging records daily. My open-source work includes an auditable RAG platform, a LangGraph code-repair agent, 3D medical image segmentation with PyTorch and MONAI, and an MCP code-search server in Go. Core stack: Python, TypeScript, SQL, LangChain, LangGraph, PyTorch, FastAPI, React, Next.js, PostgreSQL, BigQuery, GCP, and Docker.

Technologies
Python
Backend & scripting
JavaScript
Web development language
TypeScript
Typed superset of JavaScript
Java
Object-oriented programming
C#
.NET application development
C++
Systems programming
C
Low-level programming
SQL
Database query language
Work Experience
Vesta Teleradiology
Software Engineer
May 2025 – Present
Lake Mary, FL
- Built retrieval and prompt workflows for an LLM-powered clinical assistant (LangChain, OpenAI, React, TypeScript, OAuth 2.0) supporting radiology operations teams.
- Deployed Python data services on GCP (BigQuery, Cloud Run, Cloud Scheduler, Docker, CI/CD) processing 20K+ imaging records daily, saving 300+ hours/month of manual work and cutting data retrieval latency by 70%.
- Designed Node.js and Python integration services connecting web apps to PACS, PostgreSQL, BigQuery, and external REST APIs.
- Evaluated LLM-enabled tools through prompt engineering, model-output validation, and monitoring before rollout to operations.
- Owned audit logging, SQL optimization, API testing, and production monitoring in HIPAA-conscious workflows; led root-cause analysis for database, API, and authentication incidents.
Vesta Teleradiology
Software Engineer Intern
Aug 2024 – May 2025
Lake Mary, FL
- Built API-driven reporting, provider-management, and validation features covering 300+ providers and 1,200+ facilities using Python, Flask, React, PostgreSQL, and Supabase.
- Extended RadMapping+ and CredMapping+ with UI components, backend services, and automation, reducing workflow overhead by 37% for 90+ active users.
Northern Arizona University
Graduate Teaching Assistant, Computer Science
Aug 2023 – May 2024
Flagstaff, AZ
- Led programming labs and debugging sessions for computer science courses on algorithms, data structures, and software engineering.
Calibrage Info Systems Pvt. Ltd.
Software Engineer
Jan 2022 – Dec 2022
Hyderabad, India
- Built SmartLeads, a CRM platform (Next.js, React, TypeScript, Node.js, Express, PostgreSQL) for lead tracking, activity logging, and sales-pipeline analytics.
- Delivered SLKW, an e-commerce platform with authentication, catalog search, cart, and payment workflows, improving customer engagement by 30%.











