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I'm Ramachandra

Software Engineer passionate about building elegant solutions to complex problems. Explore my background and my projects.

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About Me

Avatar of Ramachandra Yerramsetti

Ramachandra Yerramsetti

Software Engineer
Infosys Public Services
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Full-Stack Engineer with 4+ years of experience building production systems across Python, TypeScript, and AWS.

I specialize in AI-orchestrated pipelines and agent-driven workflows — from LangGraph-powered LLM systems and RAG pipelines to event-driven distributed architectures using RabbitMQ, SQS/SNS, and Lambda. I've shipped across healthcare AI, government compliance platforms, and national rail booking systems.

Currently at Infosys Public Services (DOL – New Jersey), where I own the backend for a statewide wage compliance platform and am building an ML-based job recommendation engine end-to-end as the sole developer.

I hold a Master of Engineering in Computer Science from the University of Connecticut (GPA: 3.81), where my work at UConn Health produced an autonomous image classification pipeline with 95% accuracy on AWS Lambda.

Stack: TypeScript · Python · FastAPI · React · Next.js · AWS (Lambda, SQS/SNS, DynamoDB, Terraform) · LangGraph · LangChain · RAG · PostgreSQL · Docker

Featured Projects

A selection of things I've built — from ML models to full-stack apps.

Agentic SQL

Agentic SQL

Self-correcting natural-language to SQL agent built on LangGraph, LangChain and PostgreSQL + pgvector. Schema-aware generation, dialect-filtered few-shot from a golden-SQL vector store, read-only enforcement in three layers, a cost guardrail that runs real EXPLAIN plans, and human-in-the-loop approval for risky queries. Served as a Typer CLI and a FastAPI app with SSE token streaming.

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Rx Local — CareStay AI

Rx Local — CareStay AI

The Travel & Hospitality Hackathon (NYC). A medical-travel coordinator that holds an entire trip (hospital appointment, visa, flights, a recovery-friendly hotel, transport, interpreter, return date) as one plan and uses voice agents to phone hotel front desks, turning uncertain details into confirmed commitments that adjust each hotel's match score. Coordinates logistics only, never medical advice.

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LensFlow AI

LensFlow AI

Google I/O Hackathon 2026. An AI campaign studio for photographers: describe a shoot and add photos, then sequential Gemini + Google ADK agents produce curated picks from Google Photos, Instagram-ready captions and proposal copy, vision storyboard frames, and an optional Veo hero video clip. Built with React 19, Vite and a FastAPI agent backend with SSE progress streaming.

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Agentic Chess

Agentic Chess

A playable chess board backed by an LLM "piece council": each piece carries a persona and argues for its move, with shared legal-move ranking primitives feeding both a Vite React UI and a Node orchestration API that calls Gemini. Structured as a TypeScript monorepo (web app, server, shared council package).

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PowerAuto

PowerAuto

A Node service that ingests CSV files with automated schema detection, stores them in PostgreSQL, then uses Llama to generate insights, dynamic chart configurations, and narrative dashboard explanations. Converts those explanations to speech with ElevenLabs and streams the audio back over WebSockets.

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NY IntelliNews

NY IntelliNews

News-intelligence interface for NYTimes IntelliNews. A Next.js + TypeScript front end that pulls category results and generated summaries from a Python backend, giving readers a fast way to scan and cluster coverage across topics.

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AI Finance Tracker

AI Finance Tracker

HuggingFace smolLM2 integrated Finance Tracker to track finances by just typing a message to bot.

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Dog Breed Detector

Dog Breed Detector

A simple web app that uses a pre-trained model to detect dog breeds from images. The model is trained on the Stanford Dogs Dataset, which contains over 20,000 images of 120 breeds of dogs.

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Cyberinfrastructure Competition

Cyberinfrastructure Competition

GIS-integrated AI dashboard predicting high-demand Citibike stations across NYC using LSTM model, optimizing bike placement with spatial analytics; awarded First Prize in NSF competition. Led an interdisciplinary team of 5 members from statistics and geography domains.

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NFL Outcome Prediction

NFL Outcome Prediction

ML model for predicting NFL game outcomes using datasets spanning the last 20 years. Boosted model accuracy by 40% by integrating curated datasets, with a specific focus on player injury information.

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Refugee & Immigrant Transitions Surveyor Form

Refugee & Immigrant Transitions Surveyor Form

Attended AI for Good Hacakthon at San Francisco, We have developed a Full-stack application to detect data from Handwritten survey Form using Gemini Flash 2.0 and keep them in structured data xlsx format

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LFT Lens

LFT Lens

Developed a Native Mobile Application to detect Test and control lines from LFT strips and generate Garphs based on pixel intensity

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Get in Touch

Have a question or want to work together? I'd love to hear from you.

Contact Information

Fill out the form or reach me directly through any of these channels.

Email

rcyerramsetti@protonmail.com

LinkedIn

ramachandra-yerramsetti

GitHub

ramchandra3101