Hi, I'm Harsh Jain.
AI & ML Student • Developer • Problem Solver
Building practical solutions with Machine Learning, Python & modern technology. I'm a 2nd-year B.Tech Artificial Intelligence and Machine Learning student, passionate about problem-solving, programming, machine learning, and data-driven thinking.
Fundamentals first, always.
I'm currently a 2nd-year Computer Science student specializing in Artificial Intelligence and Machine Learning. I'm passionate about problem-solving, programming, and data-driven thinking.
I focus on building strong fundamentals before chasing buzzwords, with an emphasis on consistency and hands-on practice — one problem, one project, one concept at a time.
How I learn
- Coding problems
- Python projects
- Coursework
- Self-learning
- Practical experimentation
- Documenting what I learn
Where I'm heading
- 1Become a stronger problem solver.
- 2Build practical technical skills.
- 3Learn in public and grow consistently.
A young AI & ML developer focused on strong fundamentals, practical projects, and continuous growth.
Academic foundation
Graphic Era Deemed to be University
2025 – 2029Bachelor of Technology — B.Tech, Artificial Intelligence and Machine Learning
- Python
- C
- Data Structures
- Machine Learning
- Artificial Intelligence
Where I'm involved
AWS Student Builder Group GEU
Member
Member Relations & Membership Building
Skills & expertise
The areas I actively work in and keep sharpening through practice.
Programming
- Python
- C
AI & Machine Learning
- Machine Learning
- Predictive Modeling
- Regression
- Generative AI
Development
- Web Application Development
- Full-Stack Development
Data & Problem Solving
- Data Analysis
- Data Structures & Algorithms
- Logical & Analytical Problem Solving
Cloud
- Cloud Deployment
- Cloud Architecture
Machine learning, shipped
Each project goes from dataset and model to a deployed application you can actually use.
CredVeda — Breaking the Black Box of Credit Scoring
An explainable AI credit underwriting engine that turns opaque credit scoring into transparent decisions with actionable borrower recourse.
- Python
- Scikit-learn
- SHAP
- Streamlit
- Credit Risk
Explainable Predictions
SHAP values break down every credit decision feature by feature, so the reasoning behind a score is visible instead of assumed.
Counterfactual Recourse
Applicants see the specific changes to income, obligations and debt-to-income ratio that would move them into a better risk tier.
Real-Time Risk Visualisation
Adjusting applicant inputs updates the DTI ratio, risk tier, model certainty and credit score gauge instantly.
Web Application
The Scikit-learn predictive model is served through an interactive Streamlit interface for live underwriting exploration.
Explore the live underwriting dashboard with SHAP explanations and counterfactual recourse.
View Live Demo
ML Advanced Property Valuation Engine
Built and deployed a localized machine learning web application for high-precision real estate property appraisal.
- Python
- Machine Learning
- Regression
- Web Application
- Render
Machine Learning Pipeline
Developed a prediction pipeline using structural, dimensional, and environmental property features such as lot size, build quality, neighborhood ratings, and other relevant property specifications.
Regression Modeling
Implemented regression algorithms to evaluate multiple property variables and generate valuation estimates.
Web Application
Created an interactive frontend connected to the machine-learning prediction pipeline.
Deployment
Deployed the full-stack model on Render to enable real-time web inference.
Try the live valuation engine running real-time inference on the web.
View Live ProjectLearning, certified
Nestlé E-learning
2026
Student Ambassador
Program
MongoDB
Core Concepts and Architecture
Currently Exploring
Areas I'm actively learning and building in — as a student, not an expert.
Machine Learning
Building practical predictive systems and understanding how data can drive decisions.
Generative AI
Exploring modern AI concepts and applications.
Python & DSA
Strengthening programming fundamentals and problem-solving ability.
Cloud Architecture
Learning how applications and ML systems can be deployed and scaled.
“Build strong fundamentals
before chasing buzzwords.”
“I learn by doing — solving coding problems, building projects, and documenting what I learn step by step.”
Let's Build Something Meaningful.
I'm open to learning opportunities, meaningful connections, and conversations around programming, AI, machine learning, and problem-solving.