Hello, I'm Rounak Raj
AI/ML Engineer
Passionate about solving real-world problems through AI-driven applications, machine learning models, and scalable data systems.
AI/ML Engineer
Passionate about solving real-world problems through AI-driven applications, machine learning models, and scalable data systems.
I am Rounak Raj, an aspiring AI/ML Engineer with a strong foundation in Machine Learning, Deep Learning, and AI-driven application development. I love solving real-world problems by integrating data-driven models with scalable systems using tools like FastAPI, Streamlit, LangChain, and cloud platforms.
With a Diploma in Artificial Intelligence & Machine Learning (CGPA 8.77), I have hands-on project experience in building AI chatbots, financial assistants, and ML-powered dashboards.
I am passionate about exploring Generative AI, ML deployment, and scalable data systems, while constantly improving my problem-solving and teamwork skills.
CGPA
Projects
Internships
Next-Gen Trading Intelligence platform harnessing the power of real-time multi-source data analysis, intelligent chatbots, and predictive stock insights in one unified dashboard. Includes Risk-Free Paper Trading, Deep Analytics, and a Portfolio Strategy Engine.
Built an AI-powered Lead Scoring Dashboard with ML model + LLM-based reranker. Frontend hosted on GitHub Pages, backend deployed on Render. Trained a Gradient Boosting Classifier on structured + text data, with comment intent reranking.
Developed a complete SaaS-based institute management platform. Includes student management, payment tracking, and analytics dashboard. Built with FastAPI, HTMl,CSS, and MongoDB for scalability and performance.
An autonomous AI-powered development platform that plans, designs, codes, reviews, and previews full-stack web applications from natural language prompts. Inspired by Lovable.dev, it enforces premium UI standards including Tailwind CSS, dark mode, and glassmorphism by default.
An autonomous multi-agent clinical AI system for generating safe, empathetic Cognitive Behavioral Therapy (CBT) exercises. Built using LangGraph with PostgreSQL persistence and Model Context Protocol (MCP) integration, featuring human-in-the-loop approval and real-time agent streaming.
A layered AI-powered family safety platform that analyzes suspicious messages, images, and documents using vision, contextual reasoning, and response validation. Lets users paste a suspicious message or link, get an instant AI risk analysis in Hindi/Hinglish/English, share it with trusted family members in one tap, and record a family verdict before anyone clicks, pays, or shares an OTP. Includes real-time family chat, smart push notifications, and emergency guidance (1930 helpline, cybercrime reporting).
AI-powered financial analysis tool with real-time stock insights. Integrated OPENAI API, YFinance, DuckDuckGo Search Built-in tools via Agno Framework. Built using Streamlit with automated news summarization & AI-driven recommendations.
CLI-based AI assistant leveraging Model Context Protocol (MCP) for context-aware interactions. Integrates Groq LLM (Qwen 32B), headless web browsing (Playwright), DuckDuckGo search, and live crypto & Airbnb data access.
Explore my complete portfolio of projects, contributions, and open-source work
Annotated Indian road traffic sign images to create a structured dataset. Ensured accuracy, consistency, and quality in data labeling. Worked under the guidance of an IIT Indore professor.
Applied ML algorithms and data analysis techniques in real-world projects. Worked with Pandas, NumPy, and scikit-learn. Built practical ML models and pipelines during the internship.
2022–2025
CGPA: 8.77/10
2022
CGPA: 8.22/10