Work Experience
Data Science Intern at Appsoleut Games
Jun 2025 - Aug 2025
Worked on player retention analytics and churn prediction for a driving simulator game.
- Analyzed 10K+ gameplay sessions.
- Built churn prediction models achieving AUC greater than 0.80.
- Segmented players into low, medium and high-risk cohorts.
- Provided retention insights for onboarding optimization.
Projects
ResearchMind — Multi-Agent AI Research System
Production-grade multi-agent research assistant using FastAPI, LangChain, Groq API and agentic AI workflows.
- Built a 4-step agentic workflow: Search → Scrape → Write → Critique.
- Implemented JWT authentication and modular FastAPI backend.
- Added Critic Chain for self-evaluation and hallucination reduction.
- Integrated Prometheus monitoring and Docker deployment.
- GitHub Repository: github.com/Maddy-MM/ai-research-system
YTLens — RAG-Powered YouTube Q&A System
Question answering system over YouTube transcripts using Retrieval-Augmented Generation.
- Built transcript ingestion and embedding pipeline.
- Used FAISS vector database with HuggingFace embeddings.
- Implemented MMR retrieval strategy.
- Added authentication and persistent storage.
- GitHub Repository: github.com/Maddy-MM/youtube-rag-assistant
Car Price Prediction API
Production-grade ML API for real-time vehicle price prediction.
- Built FastAPI inference service.
- Integrated Redis caching.
- Implemented JWT and API key security.
- Monitored with Prometheus and Grafana.
- GitHub Repository: github.com/Maddy-MM/car-value-inference-api
Volunteer Experience
Educator at Nanua Samagra Sewa Samiti
Taught mathematics and science to underprivileged children.
- Conducted 6+ teaching sessions.
- Helped students improve academic understanding.
Mentor at Desh Ke Mentor
Mentored students on academics and career planning.
- Guided 4 students through one-on-one mentoring.