Software engineer building end-to-end full-stack and AI systems in production. Strong CS fundamentals, as well as AI proficiency — I maintain complete ownership, know how to navigate ambiguity and like operating close to the stakeholder.
📍 DC area · 🛰️ Hughes Network Systems (EchoStar)
An agentic anomaly-detection system for the Hughes satellite network — end-to-end, three moving parts:
- Ingestion framework — a source-agnostic pipeline built for scale from day one: orchestration fully decoupled from the data, with a clean seam where each new source plugs in its own processing without touching the core.
- Detection — Parquet feeds an in-house ML platform over an API to score anomalies.
- LLM reasoning layer — takes the model output plus business context, pulls raw data and trends as needed through its own tools, then catches missed anomalies, flags false positives, and attaches confidence scores the systems team acts on.
RGB Collision Guardrail → DimOS
open-source contribution to a 3.6k⭐ agentic-robotics OS
A robot motion-safety guardrail designed as cleanly separated runtime, policy, and state layers — so it drops into any skill built on the OS, and the policy is swappable without touching the rest. automated review scored it 5/5.
chat-context
MCP memory server · Python · ChromaDB · OpenAI
Persistent semantic memory for LLM chats. Cut API cost ~40% by retrieving only relevant context instead of replaying full history.
grocery-meal-agent
FastAPI · React · Postgres · Celery · Redis · Docker · AWS
Full-stack AI assisted meal planner with async task processing — built front to back.
Languages · Python · TypeScript · C++
AI & Agents · Multi-Agent Systems · RAG · Vector DBs · MCP · LangGraph
Backend · FastAPI · Celery · Redis · Kafka · WebSockets
Infra & Data · Kubernetes · Docker · PostgreSQL · MongoDB · AWS · Linux
🌐 v0-pratgala.vercel.app · 💼 LinkedIn
📧 [email protected] · 📱 +1 (617) 751-9429