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Hi I'm Kunal Bajaj

🚀 "Crafting innovative AI solutions with creativity, precision, and passion."

📞 437-269-7678 📧 kunalbajaj20220@gmail.com 🎓 Sheridan College

AI Portfolio Navigator

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Hello! I'm Kunal's advanced AI assistant. My neural systems are optimized to help you explore his skills, experience, and projects with 98.7% accuracy. What aspect of Kunal's portfolio would you like me to analyze?

CONFIDENCE:
AI ENGINE v3.7 | MEM: OPTIMAL | LEARNING ACTIVE

🎓 Education

Honours Bachelor of Computer Science

Mobile Computing Specialization

Sheridan College

Oakville, ON

September 2022 – December 2026

🏆 Generator Student Award for Innovation in Research
💡 Applied AI Research & Development
👥 Peer Mentorship Leadership

💼 Work Experience

AI Engineer Intern

Sheridan College (Centre for Applied AI)

Oakville, ON

May 2025 – Present

  • Built full-stack RAG chatbot for military healthcare using LangGraph, FastAPI, and Next.js/React, processing 500+ documents with 90%+ retrieval accuracy.
  • Engineered AI safety pipeline with Guardrails and custom evaluation framework, implementing 10+ safety benchmarks for trauma-informed content filtering.
LangGraph FastAPI Next.js React Guardrails Python RAG

AI and Process Optimization Analyst

Korah Limited

Markham, ON

September 2024 – April 2025

  • Developed predictive models using Python state machine algorithms, forecasting 700+ NICU bed allocations with 90% accuracy.
  • Engineered real-time analytics pipeline with data visualization and ETL processes, improving operational efficiency by 40%.
Python State Machines Data Analytics ETL Predictive Modeling Data Visualization

AI Research Assistant

Sheridan College (Centre for Applied AI)

Oakville, ON

October 2023 – September 2024

  • Built NLP chatbot for Oakville Public Library using Transformers and LangChain, processing 1K+ monthly queries with 90% accuracy.
  • Developed RAG system with FastAPI, handling 150+ concurrent users and achieving 99.9% uptime.
Python FastAPI LangChain Transformers HuggingFace RAG NLP

Software Developer

Sheridan College (Centre for Applied AI)

Oakville, ON

May 2024 – August 2024

  • Built communication layer for ESP32 sensors using C++ and Node.js, improving data transmission speed by 20%.
  • Developed responsive ReactJS frontend dashboard, processing real-time data from 50+ sensors with 99% uptime.
C++ Node.js React ESP32 MongoDB AWS IoT

👨‍💻 Projects

SynthLabel – AI Image Labeling Platform

🌐
  • Built end-to-end AI image labeling platform with Next.js, Solana blockchain, and FAL.ai, enabling custom model training and AWS S3 file management.
  • Integrated blockchain technology for secure and transparent data transactions and model ownership verification.
  • Implemented advanced AI image analysis capabilities for automated labeling and custom model training workflows.
Next.js Node.js Solana AWS S3 FAL.ai Blockchain AI/ML

Groovify - iOS App

🔗
  • Built an iOS music recommendation app using Swift and SwiftUI, integrating Spotify's API and HuggingFace emotion detection model to analyze user listening patterns and generate mood-based recommendations with 95% accuracy.
  • Implemented Firebase authentication and CoreData for efficient local storage, reducing API calls by 30%.
  • Developed intelligent recommendation engine using machine learning algorithms for personalized music discovery.
Swift SwiftUI Firebase LLM HuggingFace CoreData Spotify API

Vercel Clone - Fullstack Application

🔗
  • Developed a scalable Vercel-like deployment platform using React, Node.js, and ExpressJS, reducing app deployment time by 40% through automated pipelines.
  • Implemented scalable file management system using AWS S3 and Redis queues, handling deployment packages with 95% reliability and achieving consistent response times for file operations.
  • Engineered comprehensive REST APIs, achieving 95% test coverage through Jest and maintaining cross-browser compatibility across Chrome, Firefox, and Safari with 98% performance consistency.
ReactJS Node.js Express.js AWS Redis Jest

Efootball Regression Project

🔗
  • Engineered Python web scraping scripts using BeautifulSoup and Selenium to extract 1000+ player statistics across 15+ performance metrics, achieving 98% data collection accuracy.
  • Implemented data preprocessing pipeline using pandas and scikit-learn, cleaning 20+ features and reducing missing values from 15% to < 1%, resulting in a high-quality dataset for model training.
  • Developed a linear regression model using TensorFlow to predict player ratings for different positions, with 90% accuracy, reducing prediction error by 25% through feature selection and model optimization.
Python TensorFlow Sci-Kit Learn Pandas BeautifulSoup Selenium NumPy

Cancer Classification Project

🔗
  • Developed an Artificial Neural Network (ANN) model for cancer cell classification, aiding in early cancer diagnosis by accurately distinguishing between benign and malignant cell samples.
  • Conducted comprehensive data preprocessing, including data cleaning, feature engineering, and normalization, to prepare the dataset.
  • Utilized a comprehensive dataset of cell features applying data preprocessing, model training, and evaluation techniques to achieve high classification accuracy and performance.
Python Tensorflow Matplotlib Pandas Numpy Sci-Kit Learn Keras

🛠 Technical Skills

Languages

Python JavaScript TypeScript Go Swift C++ SQL

Frameworks & Libraries

React.js Node.js FastAPI Docker SwiftUI LangChain LangGraph Next.js PyTorch Transformers

Developer Tools

Git GitHub/GitLab Postman AWS (EC2, S3) Firebase TurboRepo VS Code XCode

Databases

MongoDB PostgreSQL SQL Server Milvus Redis CoreData

🌟 Open Source Contributions

LangChain Ecosystem

100K+ ⭐ GitHub Stars 20M+ Monthly Downloads
  • Active contributor to repositories with 100K+ GitHub stars and 20M+ monthly downloads.
  • Implemented PyArrow serialization for pandas DataFrames, reducing memory usage by 40%.
  • Contributing to AI/ML infrastructure used by major companies worldwide.
Python TypeScript LangChain AI/ML Open Source

Streamlit Framework

500K+ Data Scientists Uber • Snowflake • Meta
  • Active contributor to framework used by 500K+ data scientists at Uber, Snowflake, and Meta.
  • Fixed error handling and developing new dropdown widget to improve user experience.
  • Enhancing data visualization capabilities for the global data science community.
Python TypeScript Streamlit Data Science UI/UX

👥 Leadership & Mentorship

Peer Mentor

Sheridan College

Oakville, ON

January 2024 – April 2024

  • Supported first-year students in navigating college resources and adjusting to campus life.
  • Provided academic guidance and mentorship to help students develop effective study strategies.
  • Facilitated workshops and peer support sessions to build community and foster collaboration.
🎯 Mentorship 🤝 Community Building 📚 Academic Support 💬 Communication

🏆 Accomplishments

    🔗

    Awarded Sheridan's Generator Student Award for Innovation in Research