Projects & Achievements

A showcase of my competition victories, research publications, and innovative projects in machine learning and AI.

1
Full Stack Project
$10,000+
AI Hackathon Wins
1
IEEE Publication
Featured

T3 Chat Clone

AI Chatbot with MCP Tools Integration • Live Deployment

Jun 2025Full-stack AI chatbot with advanced features
Live
Next.js
Frontend
Python
Backend
AWS + Vercel
Deployment

Built and deployed a sophisticated AI chatbot during a cloneathon challenge, featuring cutting-edge MCP tools integration, real-time streaming, and multi-modal capabilities.

Key Highlights

  • Integrated MCP (Model Context Protocol) tools for external system connectivity
  • Implemented multi-modal input with documents and image processing
  • Built real-time streamable messages for responsive UX
TypeScriptPythonMCPAI/LLMReal-time StreamingMulti-modal AIFull-stack

Unifi PDF Lifting Competition

1st Place Winner • $5,000 Prize

Feb 2024Ranked 1/76 participants
Won
1st
Rank
76
Participants
$5,000
Prize

Developed an advanced solution for extracting structured data from PDF documents using state-of-the-art LLM and RAG techniques.

Key Highlights

  • Won 1st place out of 76 participants
  • Earned $5,000 in prize money
  • Built production-ready PDF extraction system
LLMRAGPDF ProcessingNLPPython

DataDrive2030 Early Learning Challenge

1st Place Winner • $3,000 Prize

Jan 2023Ranked 1/336 participants
Won
1st
Rank
336
Participants
$3,000
Prize

Predicted early learning outcomes using advanced machine learning techniques and sophisticated feature engineering approaches.

Key Highlights

  • Won 1st place out of 336 participants
  • Earned $3,000 in prize money
  • Built predictive models for education outcomes
Machine LearningXGBoostFeature EngineeringPredictive Modeling

A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting

IEEE International Conference Publication

Dec 2023Published at IEEE Smart Cities Conference
Published
IEEE
Venue
International
Scope
Conference
Type

A comprehensive analysis of hybrid deep learning approaches for midterm electric load forecasting, published at a premier IEEE conference.

Key Highlights

  • Published at 21st IEEE International Conference
  • Presented at Smart Cities conference in Australia
  • Novel hybrid model architecture contribution
Deep LearningLoad ForecastingResearchPyTorchTime Series

Carbon Dioxide Prediction Challenge

1st Place Winner • $2,100 Prize

Mar 2022Ranked 1/441 participants
Won
1st
Rank
441
Participants
$2,100
Prize

Forecasted carbon dioxide levels using advanced time series analysis and machine learning techniques for environmental impact modeling.

Key Highlights

  • Won 1st place out of 441 participants
  • Earned $2,100 in prize money
  • Environmental impact modeling expertise
Time Series ForecastingEnvironmental ModelingPythonStatistical Analysis

Collaborate on the Next Big Thing

I'm always excited to work on challenging projects and competitions. Let's build something amazing together!