π AI/ML Engineer | Full-Stack Developer | Open Source Contributor
I'm passionate about building intelligent applications that combine Artificial Intelligence, Machine Learning, and scalable software engineering. My interests span Generative AI, AI Agents, Deep Learning, Data Science, Cloud Technologies, and Full-Stack Development.
πΉ Building AI-powered solutions using Python, Java, React, FastAPI, and modern AI frameworks
πΉ Exploring Multi-Agent Systems, LLM Applications, RAG Architectures, and Agentic AI
πΉ Open Source Contributor(OSCI'25 & GSSoC '26) and Campus Ambassador(GSSoC'25)
πΉ AWS Certified Generative AI Developer β Professional
πΉ AWS Certified Machine Learning Engineer β Associate
πΉ Microsoft, IBM, Oracle & Google Cloud AI Learner
πΉ Interested in Software Development, AI Engineering, and Cloud-Native Applications
π― Goal
To build impactful AI products that solve real-world problems and create meaningful value through technology.
Multi-Agent AI Career Development Platform designed to help users navigate their professional journey.
Features
- Resume Intelligence Agent
- Skill Gap Analysis
- Personalized Learning Roadmaps
- AI Interview Preparation
- Multi-Agent Coordination Architecture
- MCP Integration
Tech Stack Python β’ FastAPI β’ Gemini β’ React β’ Multi-Agent Systems
AI-Powered Community Decision Intelligence Platform.
Features
- Community Issue Analysis
- Predictive Insights
- Recommendation Engine
- Multi-Domain Decision Support
- Data-Driven Governance Assistance
Domains Public Safety β’ Healthcare β’ Education β’ Sustainability
Tech Stack Python β’ AI Agents β’ RAG β’ Analytics β’ Gemini
Personalized AI Nutrition Assistant providing intelligent dietary recommendations.
Machine Learning solution using Random Forest, CatBoost, and XGBoost models to predict IPL match outcomes.
- Active contributor across multiple repositories
- Bug fixes, testing, validation and feature enhancements
- Collaborated with maintainers and community contributors
- Fixed duplicate project ID validation issues
- Improved dataset integrity and testing
- Successfully merged pull requests
- Added unit test coverage for analytics hooks
- Improved React Query testing reliability
- Contributed quality assurance improvements
- Added relocation analysis action test coverage
- Covered authentication, validation and AI failure scenarios
- Strengthened regression protection through automated tests
- Resolved merge conflicts in PDF generation service
- Improved report generation maintainability
- Contributed code quality improvements
β Multiple merged pull requests across open-source repositories
β Contributor in GSSoC 2026
β Contributor in Open Source Connect India(2025)
β Top 10 Campus Ambassador Recognition(GSSoc'25)
π 15+ Open Source Pull Requests Merged
π Contributor in GSSoC 2026
π Top 10 Campus Ambassador β GSSoC 2025
π€ Built Multiple Multi-Agent AI Applications
βοΈ AWS & Oracle AI Certified
πΌ LinkedIn: www.linkedin.com/in/sujal-mahapatra
π§ Email: sujalmahapatra@gmail.com
π GitHub: https://github.com/SujalMahapatra
β If you like my work, consider starring my repositories!


