Projects

Every production system, research artifact, and side project I've built, going back to undergrad.

ai-mlFlagship

MCP-Telecom

First Model Context Protocol server for multi-vendor network equipment

5,500 LOC60+ MCP tools157 tests7 vendors
researchFlagship

PROXIMA

Proxy metric validation framework for A/B testing

98.4% oracle agreement14M observations (Criteo)7.2K users (KuaiRec)80 simulated experiments
ai-mlFlagship

LLM Incident Copilot

Evidence-grounded RAG for production log debugging

100% citation-backed responsesFAISS + Qdrant dual indexSub-3s query latencyLocal + cloud inference
ai-ml

ATS Resume Analyzer

AI-powered resume optimization tool that analyzes resumes against ATS requirements. Built with Next.js, TypeScript, and Prisma.

Next.jsTypeScriptPrismaAI/NLP
ai-ml

EasyApply AI

AI-powered hiring automation that parses resumes, evaluates candidate suitability, and ranks applications via LLM-based NLP.

PythonFastAPIAWS LambdaLLM
ai-ml

Intelligent Cloud-Based Log Analysis Platform

Cloud-native platform for parsing and analyzing AWS CloudTrail logs. Integrates GraphQL for efficient data querying, reducing troubleshooting time by 40%.

AWS LambdaAmazon ComprehendSageMakerPython
ai-ml

AI-Powered University Review Insights

AI-driven system to analyze university reviews using sentiment analysis and trend prediction.

AWS LambdaAmazon ComprehendAmazon ForecastAngular
full-stack

E-Commerce Web Application

Fault-tolerant e-commerce platform with Spring Boot and MySQL achieving 99.9% uptime. React + Redux frontend with GraphQL APIs and Redis caching.

Spring BootReactReduxGraphQL
systems

High-Performance Trading System

Low-latency trading system for high-frequency transactions. Apache Kafka for real-time data feeds, deployed on Kubernetes with Grafana/Prometheus monitoring.

JavaKafkaKubernetesGrafana
ai-ml

Automated ML Pipeline for Financial Forecasting

Automated ML pipeline using AWS SageMaker for financial time series forecasting, reducing forecasting errors by 30%.

AWS SageMakerPythonFlaskAngular
systems

Real-time Stock Market Data Analysis

Real-time data processing and analysis system for stock market data using Hadoop, Spark, Kafka, and ReactJS with D3.js visualization.

JavaSpring BootKafkaHadoop

Looking for older work? See the archive.