Projects

Full-stack applications and freelance work showcasing my technical expertise

Light Charity Foundation

Light Charity Foundation

Freelance project for a nonprofit organization (ongoing, active development).

  • Built a full-stack blood/organ donation platform with React/Next.js frontend featuring 20+ reusable components, custom Framer Motion animations, and responsive design with light/dark themes.
  • Architected RESTful API backend with Node.js, Express, and MongoDB featuring JWT authentication, Google OAuth, role-based access control, and rate limiting.
  • Implemented real-time messaging system supporting 1,000 concurrent WebSocket connections with Socket.IO, connection pooling, and automatic reconnection.
  • Optimized database performance by 75% through MongoDB connection pooling and geospatial indexing, reducing search times from 2+ seconds to <500ms.
  • Deployed on Google Cloud Run with Docker for serverless auto-scaling. Integrated Google Maps API for real-time donation center discovery.
React
Next.js
TypeScript
Node.js
Express
MongoDB
Socket.IO
TailwindCSS
Docker
Google Cloud
Website
Executive AI Voice Agent System

Executive AI Voice Agent System

Built real-time voice agent system with Pipecat framework and Attendee meeting bot infrastructure, processing 16kHz audio streams via WebSocket connections with optimized VAD and supporting concurrent voice bots with conversation state management.

  • Built real-time voice agent system with Pipecat framework and Attendee meeting bot infrastructure, processing 16kHz audio streams via WebSocket connections with optimized VAD (Voice Activity Detection) using Silero analyzer, supporting concurrent voice bots with conversation state management across 3 phases (Initial Questions, Follow-up, Ongoing Facilitation), featuring smart turn detection and participant-aware audio routing
  • Developed meeting transcription and notetaker system using Groq LLM (Llama-4-Scout-17B) that processes meeting transcripts to generate 120+ word summaries, extracts 5+ action items per meeting, analyzes speaking time distribution, calculates sentiment scores, and provides effectiveness metrics (0-100 scale) with communication pattern analysis
  • Architected 102+ REST API endpoints across Next.js frontend and Express backend, integrating Groq LLM for email prioritization, task generation, transcript analysis, and chat functionality, handling batch processing of multiple emails and meetings with JSON repair mechanisms for robust error handling
  • Implemented encrypted voice bot transcription storage system in MongoDB with recurring meeting isolation using composite keys (meeting_id + date + time), tracking word counts, duration metrics, participant identification, and 95% confidence scores, with automatic transcription persistence and retrieval
  • Integrated Pipecat framework with Attendee API for bidirectional voice communication with real-time audio processing (16-bit PCM at 16kHz), implementing custom AttendeeFrameSerializer for per-participant audio routing, WebSocket connection management via FastAPI transport layer, Groq STT for speech recognition, Sarvam TTS for natural voice synthesis, and voice-enabled meeting bots that can speak, transcribe, and analyze meetings in real-time with participant awareness
Python
Pipecat
FastAPI
Next.js
Express.js
MongoDB
Groq LLM
WebSocket
Silero VAD
Groq STT
Sarvam TTS
Attendee API
Real-time Audio Processing
Voice Activity Detection
REST API
Demo
Email Task Generator MVP

Email Task Generator MVP

Developed an intelligent Email Task Generator MVP that automatically extracts actionable tasks from emails using AI analysis and integrates with project management workflows.

  • Implemented Groq Llama-4-Scout AI model with 95%+ accuracy in identifying actionable tasks from emails, supporting 9 task categories with intelligent priority classification and automatic due date extraction
  • Built Gmail API integration supporting 15+ operations including batch processing, priority analysis, and spam filtering, capable of processing 100+ emails simultaneously with real-time task generation
  • Developed multi-layered email analysis using 4 AI models (Groq, OpenAI GPT-4, Mistral AI, rule-based) with 92% accuracy in priority classification across high/medium/low categories
  • Created seamless Gmail-to-Jira integration with 20+ API endpoints handling automatic task creation, issue tracking, and workflow automation with real-time synchronization
  • Implemented AES-256-GCM encryption, MongoDB integration with optimized indexing, supporting 1000+ concurrent email analyses with sub-second response times
Next.js
React
TypeScript
Node.js
Express.js
MongoDB
Groq LLM
OpenAI GPT-4
Mistral AI
Gmail API
Jira API
NextAuth.js
TailwindCSS
Radix UI
WebSocket
Demo
Cloud Cost Optimization CLI

Cloud Cost Optimization CLI

Developed a cloud cost optimization CLI tool for Google Cloud Platform that helps organizations monitor spending, identify optimization opportunities, and generate cost forecasts through automated analysis of billing data and resource usage.

  • Built comprehensive FinOps platform with 33 REST API endpoints and 5 service auditors for Cloud Run, Cloud Functions, Compute Engine, Cloud SQL, and Storage, processing billing data with 180-day historical analysis and 90-day cost forecasting
  • Integrated AI and machine learning features using Groq LLM and Prophet forecasting with 7 AI endpoints for cost analysis, anomaly detection, and automated recommendations with confidence intervals
  • Implemented data processing architecture with BigQuery integration, caching system (5-15 minute TTL), and async operations supporting multi-region analysis and automated PDF report generation
  • Created developer-friendly API with FastAPI backend, command-line interface (15+ options), and CORS support for frontend integration, managing 25+ Python dependencies for cloud cost management
  • Enabled cost optimization workflows through automated resource auditing, idle resource detection, over-provisioning analysis, and priority-based recommendations to help teams reduce cloud spending
Python
FastAPI
Google Cloud Platform
BigQuery
Groq LLM
Prophet
CLI
REST API
Machine Learning
FinOps
GitHub
Demo