Welcome to the Matrix

I'm

GAURAV SINGH

Java
Python
AWS
React
Database
DevOps

ABOUT_ME

Gaurav Singh

Software Engineer · AI Agents & Distributed Systems

Software Engineer with 3+ years of experience building production AI Agent Systems and scalable Distributed Services. Currently working as an AI Software Engineer at University at Buffalo, focusing on Multi-Agent Orchestration, Semantic Search, and reliable distributed services.

I build end-to-end AI systems: MCP-based Agents with LangGraph/LangChain, RAG Pipelines, and full-stack platforms like AutoRSR and X-Voice that combine low-latency user experiences with production-grade reliability.

My experience spans event-driven microservices, Kafka-based Data Pipelines processing hundreds of thousands of daily events, and cloud-native deployments on AWS and Azure with strong observability and CI/CD.

Core Stack: Python, TypeScript, Java, C#, LangGraph, LangChain, RAG, React, Next.js, Spring Boot, .NET, Kafka, PostgreSQL, Redis, Docker, Kubernetes.

MS in Computer Science from University at Buffalo (3.9 GPA), with certifications across AWS, Azure AI, and GCP. Open to Software Engineer, AI/ML Engineer, and Applied AI Engineer roles.

PROJECTS

Innovative solutions and cutting-edge implementations

WeatherWise Agent

AI-powered weather assistant built with LangGraph and MCP (Model Context Protocol). Natural language queries for real-time weather, forecasts, air quality, and alerts. Deployed on GCP using Vertex AI with Dockerized microservices and network isolation.

LangGraph + MCP architecture SSE streaming responses GCP / Vertex AI deployed Docker microservices
FastAPI LangGraph MCP Next.js Vertex AI GCP Docker Gemini

Clinical QA Intelligence

AI-powered clinical question-answering system that synthesizes evidence from ClinicalTrials.gov and PubMed. Delivers cited, confidence-scored answers to medical questions using Google Gemini for intelligent query routing and response generation.

Multi-source evidence synthesis Inline citations Confidence scoring GCP Cloud Run deployed
FastAPI Python React TypeScript PostgreSQL Google Gemini Docker GCP

Campaign Intelligence Assistant

AI-powered campaign analytics tool for adtech teams. Natural language chat interface that queries campaign databases, generates LCI attribution reports, compares campaigns, and recommends audience segments.

LangGraph agent w/ 5 tools Real-time SSE streaming pgvector semantic search Serverless (Vercel + Neon)
FastAPI LangGraph Next.js PostgreSQL pgvector Groq Gemini Vercel Neon
AI AGENTS

Agentic MCP Hub

Enterprise-grade MCP server that gives AI agents a unified interface to Jira, Slack, and SQL databases. Designed for secure, multi-step agentic workflows across enterprise systems.

Jira + Slack + SQL Secure workflows Enterprise-grade Multi-step agents
Python MCP SQLAlchemy Pydantic Enterprise

X-Voice - Voice Analytics AI

Deep learning system for predicting accent, age, and gender from voice data using pi-whisper and LoRA fine-tuning. Real-time speech analysis with high accuracy.

Real-time speech analysis LoRA fine-tuning Accent prediction Age & gender detection
Python Pi-whisper LoRA Deep Learning Speech Analysis
RESEARCH

AutoRSR - Speech Disorder Detection

AI-powered system for early detection of speech disorders in children using advanced machine learning. Determines whether a child requires Speech-Language Pathologist (SLP) attention with high accuracy.

Early disorder detection SLP screening High accuracy ML Healthcare AI
Python Machine Learning Speech Analysis AI Detection Healthcare
ACTIVELY CONTRIBUTING IN 2026

OPEN_SOURCE

Real-world contributions to production open source projects

aden-hive / hive

Open-source AI agent framework with parallel execution, memory management, and composable workflows for building production-grade autonomous agents.

Growing Python 2 PRs Merged · 1 Issue Filed

Pull Requests

fix(executor): enforce branch timeout and memory conflict strategy in parallel execution Bug Found & Fixed Merged
feat(events): emit GOAL_ACHIEVED event on terminal-node success Feature Proposed & Built Merged

  Wired unused branch_timeout_seconds and memory_conflict_strategy configs into the parallel execution path with 6 new tests. Also filed a feature request for GOAL_ACHIEVED event emission and implemented the solution in a separate PR.

shinzo-labs / shinzo

Complete observability platform for AI agents and MCP servers. Improve AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.

Growing TypeScript 1 PR

Pull Requests

Session Replay & Analytics Feature

  Implemented full session replay & analytics backend — capturing MCP tool call sequences, token usage, latency, and session timelines for production AI agents.

BLOGS & POSTS

Technical insights and knowledge sharing

SKILLS

Technology stack and expertise

AI / ML
Advanced
Java
Expert
Python
Expert
LangChain / Agents
Advanced
AWS Cloud
Advanced
Spring Boot
Advanced
React / Next.js
Advanced
PostgreSQL / SQL
Advanced

RESUME

Education

MS in Computer Science & Engineering

Dec 2025

University at Buffalo - SUNY, New York, USA

GPA: 3.9/4.0

Coursework: Distributed Systems, Operating Systems, Deep Learning, AI/ML, Algorithms & Analysis, Cloud Computing

Professional Experience

AI Software Engineer

Jan 2026 - Present

University at Buffalo, United States

Research Assistant

Nov 2024 - Dec 2025

The Research Foundation for SUNY, United States

Software Engineer Intern

Jun 2024 - Aug 2024

Muni Health, USA

Software Engineer

Feb 2022 - Jun 2024

TCS

Software Engineer

Apr 2020 - Dec 2021

Netcore Solutions, India

TUTORIALS

Educational content from WorkCode & Gaurav YouTube channel

TERMINAL

SYSTEM_INFO

CONNECT

Let's discuss your next project or just say hello!

Location

Buffalo, New York, USA

Email

ksingh.gav@gmail.com

Response

Within 24 hours