HARSHIT PAMBHAR
@harpam
HARSHIT PAMBHAR
@harpam
Rajkot, India
š Profile: Harshit Pambhar
šØāš Academic Background
I am a first-year college student from Vadodara, India, with a strong interest in software development, machine learning, and system design. I actively work on practical, implementation-based projects rather than just theoretical learning.
I prefer understanding concepts from basics and applying them in real-world scenarios, especially implementation and scenario-based problem solving.
š» Technical Interests & Skills
š§āš» Programming
C Programming (Beginner to Intermediate)
Building logical problem-solving skills
Writing simple, clean, beginner-friendly code
Understanding algorithm time complexity and optimization
š Web Development
HTML, CSS
React + TypeScript
Tailwind CSS
Backend using Node.js & Express
MySQL database management
REST API integration
š¤ Machine Learning & AI
Currently building a full-stack ML project:
š„ Project: DataForge
DataForge is a three-service architecture machine learning platform:
Frontend: React + TypeScript + Tailwind
Backend: Node.js + Express + MySQL
ML Service: FastAPI + scikit-learn
Key Features:
Dataset upload and preview
Modular preprocessing pipelines
ML model integration
Structured service-based architecture
Separation of concerns between frontend, backend, and ML service
This project demonstrates:
Microservice thinking
API-based architecture
Real-world ML deployment concepts
Scalable system design
š§āāļø Innovation Mindset
I am also working on a fitness motivation website project aimed at helping people stay fit through yoga and gym exercises.
Planned Features:
Beginner & Advanced levels
Personalized guidance
Ranking system
Star-based progress system
Certificates for task completion
Motivation-based gamification
This shows my interest in:
User engagement
Gamification systems
Behavioral motivation through technology
šÆ Strengths
Curious and self-driven learner
Strong interest in full-stack + ML integration
Prefers understanding concepts deeply
Implementation-focused thinking
Consistent practice and project-based learning
Long-term technical vision
š Vision
To become a skilled software engineer capable of:
Building scalable full-stack systems
Deploying real-world machine learning applications
Designing systems with proper architecture
Solving real-world problems using technology