
Project Overview
A conversational AI system that allows users to interact with MySQL databases using natural language, generating and executing SQL queries with intelligent responses.
Core Features
Natural language to SQL query generation
Conversational interface with context awareness
Real-time database interaction
Formatted table outputs for query results
Safety layer preventing destructive SQL operations
Secure environment variable handling for API keys
Project Impact
Bridges AI with database querying for non-technical users
Implements safe execution layer for SQL operations
Improves data accessibility through conversational UI
Explore More Work
Deep dive into other high-performance solutions.

A multimodal AI system that analyzes recorded video interviews using audio, video, and LLM-based semantic evaluation to generate objective, time-evolving candidate assessments.
System Architecture
Multimodal Temporal Analysis Pipeline (Hybrid Signal + LLM)
6-stage Analysis Pipeline • Audio/Video Feature Extraction • Whisper Speech-to-Text • AI Semantic Scorer (Qwen2.5-3B) • Temporal Performance Tracker • Interactive Analytics Dashboard
Flow: Input (AV/JD) → Parallel Extraction → Temporal Sync → Behavioral/Semantic Analysis → Output (JSON/Dashboard)

A distributed file storage system that transforms GitHub repositories into a personal cloud filesystem using an HDFS-inspired architecture with encryption, deduplication, and multi-layer caching.
System Architecture
Distributed Node-Based Storage
NameNode (Index Repository) • DataNodes (GitHub Repositories) • Client (Web/Mobile App) • Edge Proxy (Cloudflare Workers)
Flow: Client → AES Encryption → Chunking → Parallel Upload → DataNodes → NameNode Index Update

A microservices-based AI platform that analyzes products using real-time data, generates objective recommendations with Gemini AI, and helps users make data-driven purchasing decisions.
System Architecture
Microservices Architecture
Frontend (React) • Backend (Spring Boot) • AI Service (FastAPI + Gemini) • Database (PostgreSQL)
Flow: Search → Fetch → Analyze → Recommend

A full-stack AI-powered survey platform that generates intelligent questions using LLMs and provides real-time analytics with interactive visualizations.
System Architecture
AI-Powered Survey Architecture
Frontend: React + Vite + Tailwind • Backend: Node.js + Express • Database: Supabase • AI: OpenRouter (Claude 3.5)
Flow: User Prompt → OpenRouter LLM → Generated Survey → Supabase DB → Interactive Analytics
A multi-agent orchestration system where a central commander agent coordinates specialized sub-agents (researcher, analyzer, coder, assistant) to execute complex tasks autonomously, including web interaction and real-world action simulation.
System Architecture
Commander–Subagent Orchestration
Commander Agent (Orchestration) • Researcher Agent (Data Gathering) • Analyzer Agent (Reasoning) • Coder Agent (Execution) • Assistant Agent (Coordination)
Flow: Input → Task Decomposition → Delegation → Parallel Execution → Result Aggregation
A scalable data annotation platform that manages the full labeling lifecycle with multi-level quality assurance, task orchestration, and integrated payment workflows.
System Architecture
Multi-Stage Workflow Engine
Task Ingestion & Splitting • L1 Annotation Queue • L2/L3 Review Pipeline • Escrow Payment Engine • Audit & Logging Layer
Flow: Upload → Split → L1 Annotate → L2 Review → L3 Approve → Export + Payout
A conversational AI system that allows users to interact with MySQL databases using natural language, generating and executing SQL queries with intelligent responses.
A dual-mode AI chatbot powered by Gemini that supports general conversations and intelligent movie recommendations using natural language queries and OMDB integration.

A full-stack inventory management system with real-time tracking, invoicing, barcode generation, and analytics for retail and warehouse operations.