Ex - Intern At IIT KGP | Intern At Infotact Solutions | Software Developer | Alumini @Coding Ninjas | Python Stack Developer | MERN Stack Developer| 5 ⭐ Coder At HackerRank | Code Crusader ⭐ At Coding Ninjas 🚀 | Institute 22🥇 Rank GFG | Open Source Learner | Tech Explorer |💡 Turning Ideas into Code

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🔥 About Me (Skills) — Why I Belong in Your Team

• 💻 Passionate Full Stack Developer skilled in MERN and Python stacks — building scalable, high-performance solutions.
• 🧠 Problem-Solving Enthusiast — exploring DSA and algorithms to craft efficient, production-ready code.
• 🚀 Experienced in end-to-end app design, RESTful APIs, databases, and DevOps workflows.
• 🏆 Achievements: 🥇 IEEE Poster Presentation Winner (Bhubaneswar Section, among 30+ teams) • 🥈 2nd in Technical Coding Quiz – Gajajyoti 2025 • ⭐ 5-Star Coder on HackerRank.
• 🌱 Continuously learning new technologies — from backend optimizations to frontend performance.
• 🧩 Collaborative Team Player & Innovator, passionate about turning ideas into impactful products.
• ⚡ Outside of tech, I enjoy adventures trips , vlogging , and taking on creative challenges.

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• 🤖 Contributed to two enterprise-level AI projects — AI Collaboration Platform and Gamified Server Shepherd — under the Industry-Level Python Development Program focused on real-time systems, AI/CV integration, and interactive dashboards.

• ⚙️ Developed scalable FastAPI backends integrated with WebSockets for real-time synchronization, communication, and collaborative user interaction across distributed clients.

• 🧠 Worked on the AI-Assisted Collaboration Platform, implementing:

  • A real-time web-based canvas engine for multi-user drawing and brainstorming.
  • AI-assisted diagram correction using multimodal models (Gemini / GPT-4o) to auto-align, clean, and structure messy user sketches.
  • End-to-end RAG-like pipeline integration for interpreting and rebuilding visual diagrams from AI responses.

• 🎮 Engineered Gamified “Server Shepherd” Dashboard, a novel log monitoring tool that converts server health visualization into an engaging, interactive simulation.

  • Built a Python log-tail agent to stream data from NGINX servers in real-time.
  • Designed log-parsing and broadcasting layers via FastAPI and WebSockets.
  • Created interactive UI elements using React + p5.js for real-time visual feedback and error acknowledgment events.

• 🧩 Collaborated on a real-time AI/CV pipeline for Urban Micro-Climate Mapping, applying OpenCV for environment inference (sun, shadow, wetness) and Leaflet.js for live geospatial dashboards.

• 🚀 Delivered production-ready, containerized solutions using Docker, MongoDB/PostgreSQL, and Redis, ensuring fault-tolerant and scalable architectures for real-time AI applications.

• 📘 Demonstrated strong cross-functional collaboration, full-stack design thinking, and deployment readiness for AI-driven real-time applications.

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• 🧠 Worked on the research topic — “Document Image Analysis and Extraction Automation”, focused on building intelligent systems for automated document understanding and dataset generation.

• ⚙️ Developed an end-to-end Python pipeline leveraging PyMuPDF for:

  • Multi-page technical PDF parsing, figure + caption extraction, and bounding box association.
  • Figure ID detection to ensure precise image–caption linkage.
  • Structured JSON metadata generation for downstream AI/ML research.

• 🔍 Implemented advanced regex and data-cleaning techniques to refine extracted content and enhance dataset quality.

• 💻 Built a React-based visual verification interface for image–caption validation, enabling seamless human-in-the-loop data correction and review.

• 🚀 Delivered a modular, reusable document-processing framework supporting the department’s ongoing AI-driven document intelligence research.

• 👨‍🏫 Mentored and guided by Prof. Plaban Kumar Bhowmick, Centre of Excellence in AI, IIT Kharagpur.

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🚀 Excited to share my journey of Data Structures & Algorithms mastery — built through daily consistency, curiosity, and hands-on problem-solving across top coding platforms.

Over the past year, I’ve solved 1000+ DSA problems across GeeksforGeeks, HackerRank, and CodeStudio, maintaining a 329-day active streak and earning 31 coding awards including 5⭐ badges in C, Python, and Java 🥇.

💡 My focus areas span across Arrays, Algorithms, Trees, HashMaps, and Dynamic Programming, with deep exploration into real-world coding patterns and system-level problem analysis.

Platform Highlights 🧩

• GeeksforGeeks: 95+ problems solved in core DSA and fundamentals.
• HackerRank: 78+ problems, 5⭐ in Python, Java, and Problem Solving.
• CodeStudio & Other Platforms: Active problem-solving in advanced algorithmic challenges.

DSA Progress Snapshot ⚙️

• Easy: 389 Problems
• Medium: 437 Problems
• Hard: 71 Problems
• Total: 897+ DSA Problems Solved 💪

🔥 Total Questions Solved: 1070+
📅 Total Active Days: 329+
🏅 Awards: 31+ (including 5⭐ C, Python, Java)

Each problem I solve strengthens my foundation, and every day of practice fuels my curiosity to explore new concepts.
I’m continuously learning, evolving, and looking forward to mastering even more challenging problems ahead! 💻🚀

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Python	JavaScript	TypeScript	React	Angular	Node.js	MongoDB	MySQL	HTML
Tailwind CSS	Bootstrap	Next.js	Redux	Django	DRF	Express.js	Fastapi	Java
AWS	Git	Supabase	VS Code	Figma	Kotlin	Docker	Postgresql	Firebase
Linux	Scikit-Learn	AndroidStudio	React Query	OpenAI	PyCharm	IntelliJ IDEA	GitLab Actions	GitHub Copilot
C	CSS	GitHub Actions

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Note: Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level.

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