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👋 Hey, I'm Sagnik Mukherjee

🎓 3rd-year B.Tech student at IIIT Naya Raipur 💻 Focused on Fullstack Development | DevOps | MLOps 🌍 Based in India


🧠 About Me

🚀 I’m passionate about building scalable, intelligent systems that bridge software engineering and machine learning.
From deploying AI-driven applications to optimizing infrastructure pipelines, I enjoy the full journey — design, build, automate, and ship.

🧩 I’ve previously interned at SOFI and Think Desk (Ayatrio), working across frontend, backend, and DevOps workflows.
I love tackling end-to-end product challenges involving distributed systems, APIs, and cloud services.


⚙️ Tech Stack


💼 Experience Highlights

🧩 Think Desk (Ayatrio) | Frontend, Backend & DevOps Intern

  • Integrated Instagram automation for reflecting customer posts in product tabs.
  • Executed SEO optimizations reducing LCP, INP, CLS metrics by 50%+.

🤖 SOFI | Software Developer Intern

  • Built a neural network-based chatbot providing real-time in-game guidance.
  • Developed an alt-account trade-tracking system identifying 1500+ potential policy violations.

🚀 Featured Projects

AI-driven learning platform integrating live classes, classroom management, and proctored exams.
Built using Next.js, Node.js, MongoDB, WebRTC, and various AWS services.

Multimodal mental health analysis platform combining Flask, TensorFlow, and CatBoost
for facial, essay, academic, and social data analysis.

AI-powered admission chatbot using Flask, FAISS, LangChain, and HuggingFace embeddings
with a 95% rank-based recommendation accuracy.


🏆 Achievements

  • 🥉 ICPC India Preliminary – All India Rank 509, College Rank 3
  • 🥇 Winner, National Hackathon – Education for AI | Education in AI
  • 🧠 NTSE & KVPY Scholar
  • 🧩 AIR 52 – Zuno Fellowship Aptitude Test by Foundit
  • 🏅 AIR 12 – Science Mathematics Talent Examination

📊 GitHub Analytics


🧰 Tools & Workflow

  • 🧱 Scalable Backend APIs (Flask, FastAPI, Express)
  • ☁️ Cloud Integration with AWS (EC2, Lambda, CloudWatch, S3, API Gateway)
  • 🐳 Containerization & CI/CD (Docker, GitHub Actions)
  • 📊 ML Model Deployment (TensorFlow | CatBoost | Flask REST APIs)
  • ⚡ Async Systems & Realtime Web (Socket.io | WebRTC | MongoDB)

🌱 Currently Working On

  • Expanding MLOps pipelines using AWS and containerized ML models
  • Optimizing CI/CD workflows for fullstack applications
  • Exploring microservices architecture and observability tools

📈 Contribution Graph


🌐 Connect With Me


📊 Profile Views


✨ “Build. Automate. Iterate. Learn.”

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