| 🎓 Education | B.Tech CSE (AI & ML) — C.V. Raman Global University | CGPA: 8.94 |
| 💼 Role | ML Engineer · Full-Stack Developer · AI Researcher |
| 📍 Location | Bhubaneswar, Odisha, India |
| anubhabmishra1601@gmail.com | |
| 🏆 Highlight | National Champion — Smart India Hackathon 2025 |
| 🔍 EDA | Statistical profiling, outlier detection, correlation analysis, multivariate visualisation |
| 🏋️ Model Training | Hyperparameter tuning, cross-validation, regularisation, ensemble methods |
| 🔬 Dataset Analysis | Feature engineering, dimensionality reduction (PCA / t-SNE), class-imbalance handling |
| 🌐 Full-Stack | MERN stack, Next.js 15, TypeScript, REST APIs, microservices |
| 🤖 Generative AI | LLMs, RAG pipelines, NLP, prompt engineering, LangChain |
| Degree | Institution | Period | CGPA |
|---|---|---|---|
| B.Tech — Computer Science & Engineering (AI & ML) | C.V. Raman Global University, Bhubaneswar | Aug 2024 – Jul 2028 | 8.94 |
Relevant Coursework: Data Structures · Algorithm Analysis · Machine Learning · Generative AI · Database Management · Object-Oriented Programming · Operating Systems · Computer Networks
National Grand Finale | SRM University | January 2025 | 🥇 National Champion — 1,000+ teams
- Led 6-member team "Samadhan Bandhu" from ideation to winning implementation at the national stage
- Engineered a centralised Smart Automation Dashboard for the Ministry of Social Justice & Empowerment using the MERN stack
- Architected real-time fund-flow monitoring that raised administrative transparency by 40%
- Built a production-grade SaaS platform for real-time video calls with embedded AI agents that automate transcript fetching and generate meeting summaries via Ingest background jobs
- Designed a microservice architecture supporting concurrent video streams with low-latency AI responses; end-to-end authentication via Better Auth + Drizzle ORM
- Transformed 10,000+ node transportation datasets into adjacency cost matrices; applied Single-Source Shortest Path across 6 transport networks — reducing route computation time by 35%
- Delivered a real-time data pipeline for live topology updates across walk, bus, rail, tram, subway, and ferry networks
- Developed an NLP-driven voice assistant with context-aware command interpretation, cutting manual operation time by 30%
- Integrated web search automation and OS-level application control for comprehensive hands-free task execution
| Exploratory Data Analysis | Model Training & Optimisation | Dataset Analysis |
|---|---|---|
| Statistical profiling, outlier detection, correlation heatmaps & multivariate visualisation to surface actionable insights from raw data. | End-to-end training pipelines — hyperparameter tuning, cross-validation, regularisation, ensemble methods & benchmarking across ML/DL architectures. | Feature engineering, dimensionality reduction (PCA / t-SNE), class-imbalance handling & pipeline-ready preprocessing for structured & unstructured data. |
Languages
AI / ML
Data & Visualisation
Full-Stack & Web
Databases & Infrastructure
Generative AI → LLMs, RAG, Prompt Engineering, Agentic Systems
LangChain → Tool Use, Memory, Multi-Agent Orchestration
MLOps → Model Deployment, CI/CD Pipelines, Monitoring
Deep Learning → Transformers, Diffusion Models, Fine-tuning
Cloud ML → AWS / GCP for scalable ML workloads
| 🏆 Achievement | 📋 Details |
|---|---|
| 🥇 Smart India Hackathon 2025 | National Grand Champion — led 6-member team "Samadhan Bandhu" among 1,000+ teams |
| 🎖️ IBM AI Excellence Certification | Issued by IBM — Advanced AI concepts & applications |
| 📜 Data Science Professional | RAG & LLMs specialization |
| 🌍 Open-Source Contributor | Active contributor to AI/ML & Web repositories |
- Win a national-level hackathon — SIH 2025 ✓
- Build and ship a full LLM-powered SaaS product — Meet AI ✓
- Deploy a production ML model with FastAPI + Docker + CI/CD
- Contribute to 3+ open-source AI / ML repositories
- Build an autonomous multi-agent LangChain pipeline end-to-end
- Secure a role as Machine Learning Engineer at a top AI company


