whoami: name: "Kuunal Mistry" role: "AI/ML Engineer in Training | Full Stack Developer" base: "Mumbai, India" currently: "B.Tech (AI & ML), Atlas SkillTech University" focus: - End-to-end Machine Learning systems - Recommendation engines - Predictive analytics - Big Data and distributed systems - Full stack applications - Turning ML concepts into usable products philosophy: "I care about systems that hold up outside a notebook — clean data pipelines, reproducible models, and interfaces people can actually use."
Engineering Focus: I build applied AI/ML systems end-to-end — from data collection and exploratory analysis through model training and evaluation to usable applications. My work spans classification, recommendation systems, Big Data analytics, Java applications, and full stack development.
Artificial Intelligence ·
Machine Learning ·
Data Science ·
Recommendation Systems
Big Data ·
Predictive Analytics ·
Full Stack Development ·
Computer Vision
MLOps ·
Cloud Computing ·
Generative AI ·
Data Visualization
| Domain | Level | Details |
|---|---|---|
| Classification Models | Proficient | Random Forest, Logistic Regression |
| Recommendation Systems | Proficient | Content-based & collaborative filtering |
| Exploratory Data Analysis | Proficient | Pandas, Matplotlib, data cleaning & preprocessing |
| Model Deployment | Working Knowledge | Flask-based ML model serving |
| Data Visualization | Proficient | Power BI, Pandas, Matplotlib |
| Big Data Analytics | Working Knowledge | Hadoop, HDFS, MapReduce, Hive, Pig, Kafka, HBase, Sqoop & PySpark |
| Deep Learning | Learning | TensorFlow fundamentals |
| Project | Category | Technologies |
|---|---|---|
| ☀️ Solar Flare Prediction | Machine Learning | Python · Scikit-learn · Pandas |
| 🧭 India Travel Recommender | Recommendation Systems | Python · Flask · Scikit-learn |
| 💳 Credit Card Fraud Detection | Big Data | Hadoop · Hive · Kafka · PySpark |
| 🏋️ Gym Management System | Java / Database | Java · Swing · JDBC · MySQL |
| 🐍 Snakey-Snake | Web Development | React · Vite · JavaScript |
| 🎓 Atlas Connect | Full Stack Development | Python · SQL · HTML · CSS · JavaScript |
☀️ Solar Flare Prediction System
A Machine Learning system for analyzing historical solar activity and predicting solar flare occurrence and intensity.
Tech: Python · Pandas · NumPy · Scikit-learn · Matplotlib · Jupyter
Focus: Data preprocessing · Feature engineering · Classification · Prediction · Visualization
🧭 India Travel Recommendation System
A hybrid recommendation engine for Indian travel destinations using content-based and collaborative filtering techniques.
Tech: Python · Pandas · NumPy · Scikit-learn · Flask · Cosine Similarity
Focus: Recommendation systems · Personalization · Cold-start handling
💳 Credit Card Fraud Detection
A Big Data analytics project using the Hadoop ecosystem to process and analyze large-scale credit card transaction data.
Tech: Hadoop · HDFS · MapReduce · Hive · Pig · Kafka · HBase · Sqoop · PySpark
Focus: Distributed storage · Batch processing · Streaming · Fraud analytics
🏋️ Gym Management System
A desktop-based Java application for managing gym member records using layered architecture and MySQL.
Tech: Java · Java Swing · JDBC · MySQL
Focus: OOP · CRUD operations · Database connectivity · DAO architecture
🐍 Snakey-Snake
A modern browser-based Snake game built with React and Vite, featuring responsive controls and mobile support.
Tech: React · Vite · JavaScript · HTML5 · CSS3
Focus: Interactive UI · Game development · Responsive web development
🎓 Atlas Connect
A full stack student platform focused on campus event discovery, registration, and student networking.
Tech: Python · SQL · HTML · CSS · JavaScript
Focus: Full stack development · Authentication · Database systems
Analytics
Data Storytelling
Digital Innovation
Competed as a finalist in a multi-track hackathon spanning analytics, data storytelling, and digital innovation.
- Built and presented working ML systems
- Worked with Python, Flask, and Power BI
- Delivered end-to-end data storytelling
- Collaborated under time constraints to develop a working prototype
| Recognition | Details |
|---|---|
| 🏆 Hackathon Finalist | IES MCRC Hackathon 3.0 |
| ☀️ ML Projects | Solar flare prediction and recommendation systems |
| 💳 Big Data Project | Hadoop ecosystem-based fraud analytics |
| 🏋️ Java Application | Database-driven Gym Management System |
| 🐍 Web Application | React-based responsive Snake game |
💡 Problem ↓ 🔎 Research ↓ 📊 Data Collection ↓ 🧹 EDA & Preprocessing ↓ ⚙️ Model / Application Design ↓ 🧪 Testing ↓ 🚀 Deployment ↓ 🔁 Iteration
I focus on turning ideas into usable systems — not just experiments.
Python ↓ Data Analysis ↓ Machine Learning ↓ Recommendation Systems ↓ Full Stack ML Applications ↓ Big Data & Distributed Systems ↓ Deep Learning ↓ MLOps & Cloud
current_focus:
learning:
- Deep Learning fundamentals with TensorFlow
- Distributed systems design for scalable ML
- Advanced full stack architecture
- Generative AI fundamentals
building:
- Refining the India Travel Recommendation System
- Expanding Solar Flare Prediction into a real-time dashboard
- Building practical AI-powered applications
- Improving Java and Big Data projects
exploring:
- MLOps and model deployment pipelines
- Cloud-native ML serving
- Open source AI tooling
- Computer Vision
- LLM application development
open_to:
- AI/ML Internships
- Research collaborations
- Hackathons
- Applied ML competitions
- Open source collaboration
