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  • Bhubaneswar, Odisha, India
  • 00:14 (UTC -12:00)

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anubhab1601/README.md

About

🎓 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
📧 Email 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

Education

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


Experience

Smart India Hackathon 2025  ·  Team Lead & Full-Stack Developer

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%

Projects

Meet AI — SaaS AI Agent Platform

Next.js TypeScript PostgreSQL Drizzle ORM Better Auth   Jan 2025 – Present

  • 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

Multimodal Transportation Optimizer

Python Graph Algorithms Data Structures   Dec 2024 – Jan 2025

  • 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

AI-Powered Real-Time Voice Assistant

Python NLP Speech Recognition   Aug 2024 – Nov 2024

  • 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

Core Competencies

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.

Technical Skills

Languages

Python TypeScript JavaScript C++ Java SQL

AI / ML

TensorFlow PyTorch Scikit-Learn Keras XGBoost HuggingFace LangChain OpenAI

Data & Visualisation

NumPy Pandas Matplotlib Seaborn Plotly Power BI Jupyter

Full-Stack & Web

Next.js React Node.js Express Tailwind CSS HTML5 CSS3

Databases & Infrastructure

PostgreSQL MySQL MongoDB Oracle DB Docker Git GitHub Actions FastAPI Linux


GitHub Statistics

 



GitHub Trophies


Contribution Activity


Profile Summary




Currently Learning

 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

� Achievements & Certifications

🏆 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

Relevant Coursework

Data Structures Algorithm Analysis Machine Learning Generative AI Database Management Object-Oriented Programming Operating Systems Computer Networks


2026 Goals

  • 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

Get in touch

   



Anubhab Mishra  ·  Bhubaneswar, India  ·  Open to ML & SWE roles

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  1. 1st_AI_Assistant 1st_AI_Assistant Public

    Self & YouTube

    Python

  2. meetai-2025 meetai-2025 Public

    TypeScript

  3. Dijkstra-Berlin-Bus-Modified Dijkstra-Berlin-Bus-Modified Public

    C

  4. DSA-projects DSA-projects Public

    C. V. RAMAN GLOBAL UNIVERSITY 2nd SEM Projects

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