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🎓 B.Tech Computer Science Student 💻 Aspiring Backend & MLOps Engineer 🤖 Machine Learning & AI Enthusiast 👁️ Deep Learning & Computer Vision Explorer 🌱 Project-driven learner 🚀 I enjoy turning ideas into practical software and continuously improving my development skills through real-world projects. My current direction is focused on combining backend engineering + Machine Learning to build useful, scalable, and intelligent software systems. I believe the best way to learn software engineering is to: Build → Test → Debug → Improve → Ship |
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| 🤖 Machine Learning & AI | ⚙️ Backend & MLOps | 👁️ Deep Learning & CV |
|---|---|---|
| Supervised/Unsupervised Learning & Feature Engineering | Scalable APIs, Model Serving & Deployment | Neural Networks, Image Processing & Vision Models |
| 🧩 Data Structures & Algorithms | 🗄️ Data Engineering & DBs | 💻 Full-Stack Product Building |
|---|---|---|
| Problem Solving in Java/Python | Data Pipelines, Vector DBs & SQL/NoSQL | End-to-End AI/ML Web Applications |
| Area | Current Focus |
|---|---|
| 🧠 DSA | Data Structures & Algorithms using Java |
| 🐍 Python | Programming, backend development and AI workflows |
| ⚙️ Backend | FastAPI, REST APIs and backend architecture |
| 🤖 AI | AI-powered applications and intelligent workflows |
| 🧠 Machine Learning | Supervised/Unsupervised Learning, Scikit-Learn, Feature Engineering |
| 👁️ Deep Learning & CV | PyTorch, Neural Networks, Computer Vision for Image Analysis |
| ⚙️ MLOps & Backend | Model deployment, FastAPI inference servers, Dockerized pipelines |
| 🗄️ Databases | SQL, PostgreSQL, MySQL and practical data integration |
| 🛠️ Engineering | Git, GitHub, Docker, APIs and development workflows |
💡 IDEA
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┌─────────────────┐
│ PLAN & RESEARCH │
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┌─────────────────┐
│ ARCHITECTURE │
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┌─────────────────┐
│ BUILD │
│ APIs + ML Logic │
└────────┬────────┘
│
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┌─────────────────┐
│ TEST & DEBUG │
└────────┬────────┘
│
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┌─────────────────┐
│ DEPLOY & SHIP │
└────────┬────────┘
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┌─────────────────┐
│ IMPROVE & LEARN │
└─────────────────┘
AI-powered resume analysis platform designed around practical ATS-style workflows.
- 📄 Resume analysis
- 🎯 ATS-style scoring
- 🔎 Keyword matching
- 📊 Recruiter-oriented analytics
- 🤖 AI-powered recommendations
- 🔐 Authentication
- ⚡ Redis-based caching
- 🐳 Dockerized development environment
Tech Stack:
FastAPI React PostgreSQL Redis SQLAlchemy Docker Gemini
🔗 Repository: https://github.com/Shuvankar01/Ai-Resume-Analyzer
Full-stack analytics dashboard combining modern frontend architecture with AI-assisted insights.
- 📊 Data visualization
- 🤖 AI-generated insights
- 🔐 Role-based access control
- ⚡ Realtime workflows
- 🎨 Modern dashboard architecture
Tech Stack:
React TypeScript TailwindCSS Supabase Gemini
🔗 Repository: https://github.com/Shuvankar01/InsightFlow
Python-first conversion platform focused on clean backend architecture and practical utility features.
- 🔄 Conversion utilities
- ⚙️ Backend-driven architecture
- 🧩 Reusable conversion logic
- 🌐 Server-rendered interface
Tech Stack:
Python FastAPI Jinja2 HTMX
🔗 Repository: https://github.com/Shuvankar01/Convertx
A structured multi-language repository documenting my programming and DSA learning journey.
- ☕ Java
- 🐍 Python
- ⚙️ C
- 💻 C++
- 🧠 Data Structures & Algorithms
- 🧩 Problem Solving
Repository: https://github.com/Shuvankar01/Programming-Practice
Participating in technology-focused student initiatives while developing communication, collaboration and technical engagement skills.
Actively participating in collaborative technical projects and hackathons focused on practical problem solving and building working solutions under real-world constraints.
Consistently building and improving projects across development, AI & Machine Learning, DSA, and full-stack technologies..
TODAY
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┌─────────────────┐
│ STRONG DSA │
│ Python + Java │
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┌─────────────────┐
│ BACKEND │
│ APIs + Systems│
└────────┬────────┘
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┌─────────────────┐
│ AI + BACKEND │
│ Intelligent Apps│
└────────┬────────┘
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┌─────────────────┐
│ AI + MLOPS │
│ Future Systems │
└─────────────────┘
Become a skilled software developer capable of building scalable backend systems and intelligent applications, while eventually contributing to AI-driven and serving production-ready ML models.
I believe consistency, curiosity, and building real-world projects are the fastest ways to grow as a developer.
Consistency + Curiosity + Real Projects = Growth.