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I'm Rakshit Chadgal, a self-taught AI/ML Engineer and full-stack developer based in Vijaypur, Jammu, currently pursuing a B.Tech in Computer Science & Engineering (AI & ML) at Model Institute of Engineering & Technology.
- 🔭 I build end-to-end AI-powered products — from data pipelines and LLM integrations to polished, production-ready front ends.
- 🧩 My focus spans full-stack web development, applied AI/ML, and a product engineering mindset — shipping usable products, not just models.
- 🚀 Founder of FemCare AI, an AI-powered women's health platform currently live in public beta on Product Hunt.
- 📚 I learn in public — my Developer Roadmap Repository documents my entire engineering journey across AI, ML, Python, SQL, Flask, and React.
- 🌱 Currently deepening my expertise in Retrieval-Augmented Generation (RAG), workflow automation with n8n, and scalable backend systems.
Open To:
Languages
Frontend
Backend & Databases
AI/ML & Automation
Cloud, DevOps & Tooling
| Domain | Proficiency | Details |
|---|---|---|
| LLM Integration | ⭐⭐⭐⭐ | Building AI-powered product features using LLM APIs for health insights and symptom analysis (FemCare AI) |
| RAG Pipelines | ⭐⭐⭐⭐ | Designing retrieval-augmented generation workflows for context-aware AI applications |
| Workflow Automation | ⭐⭐⭐⭐ | Automating data and API workflows using n8n |
| Data Handling | ⭐⭐⭐ | Processing and analyzing data with NumPy, Pandas, and SQL |
| Applied Machine Learning | ⭐⭐⭐ | Academic + self-taught ML fundamentals, applied directly within real projects |
🌸 FemCare AI — AI-Powered Women's Health Companion
An AI-powered women's health companion for menstrual tracking, symptom analysis, personalized health insights, and early awareness of hormonal health patterns.
| Stack | React, Supabase, JavaScript/TypeScript, LLM APIs, Base44 (initial build) |
| Scale | Public beta, live on Product Hunt |
| Performance | Responsive web app with real-time data sync via Supabase |
| Security | Supabase-managed authentication and data storage |
| Impact | Actively collecting user feedback to validate product-market fit |
| Repository | Private |
Founded and built end-to-end — from concept and UI/UX to a public beta launch on Product Hunt, with an active feedback loop driving rapid iteration.
📁 File Enthusiast — Desktop File Management App
A CRUD-based desktop file management application for creating, reading, updating, deleting, organizing, and searching local files through a simple interface.
| Stack | Python, Tkinter, File I/O, OS module |
| Scale | Personal productivity tool |
| Performance | Lightweight, native local file operations |
| Security | Local-only, no external data transfer |
| Impact | Demonstrates CRUD operations, file system management, and clean application architecture |
| Repository | GitHub |
Built to explore desktop application architecture in Python, with a clean separation between the UI layer and file-system logic.
💼 Portfolio Website
A fully responsive developer portfolio showcasing projects, skills, and contact information with modern animations.
| Stack | HTML5, CSS3, JavaScript, React, Vite |
| Scale | Personal branding site |
| Performance | Optimized for desktop and mobile, deployed on Netlify |
| Security | Static site, no backend attack surface |
| Impact | Central hub for showcasing projects and professional profile |
| Repository | GitHub |
Designed and built from scratch with a focus on responsive layout, smooth animations, and fast load times via Vite.
🗺️ Developer Roadmap Repository
A living repository documenting my entire software engineering journey — roadmaps, notes, code implementations, and projects spanning AI, ML, Python, Data Science, SQL, Flask, and React.
| Stack | Git, GitHub, Python, Jupyter Notebook, SQL, Flask, NumPy, Pandas, React, JavaScript |
| Scale | Continuously updated, fully public |
| Performance | N/A — documentation & learning repository |
| Security | Public, open source |
| Impact | Serves as both a learning journal and a portfolio of practical implementations |
| Repository | GitHub |
An ongoing, transparent record of my growth as an engineer — every roadmap, note, and implementation is public and continuously updated.
Founder & AI Developer · FemCare AI July 2026 – Present
Built an AI-powered women's health platform focused on menstrual tracking, symptom analysis, and personalized health insights.
- Designed and developed the product using React, Supabase, and AI APIs, taking it from concept to public beta launch
- Led product strategy, UI/UX design, and feature development
- Managed testing and the Product Hunt launch, collecting user feedback for rapid iteration
React Supabase LLM APIs Product Strategy UI/UX
Independent Software Developer · Self-Employed / Personal Projects 2025 – Present
- Built multiple software projects, including a CRUD-based file management application and several web development projects
- Maintained a public GitHub repository documenting roadmaps, learning progress, and implementations across Python, Flask, SQL, React, AI/ML, and Data Science
- Practiced modern development workflows using Git, GitHub, responsive web technologies, and iterative project development
Python Flask React SQL Git
Computer Science Student (AI & ML) · Model Institute of Engineering & Technology (MIET) 2026 – Present
- Pursuing a B.Tech in Computer Science & Engineering (AI & ML) with a focus on artificial intelligence and software engineering
- Building real-world AI applications alongside academic coursework
- Actively contributing to open-source repositories and maintaining a public portfolio of development work
AI/ML Software Engineering Open Source
| Recognition | Details |
|---|---|
| Product Hunt Launch | Launched FemCare AI in public beta on Product Hunt |
| Founder | Took an AI product from concept to public beta as founder & sole developer |
| Public Learning Portfolio | Maintains a continuously updated open-source developer roadmap repository |
current_focus:
learning:
- Retrieval-Augmented Generation (RAG) architectures
- Advanced backend systems & API design
- n8n workflow automation at scale
building:
- FemCare AI (public beta)
- Developer Roadmap Repository
exploring:
- LLM fine-tuning and evaluation
- Vector databases & semantic search
open_to:
- AI/ML Engineering roles
- Full-stack freelance projects
- Collaboration on open-source AI tools
"Self-taught, self-driven — building AI products one commit at a time."