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Deepesh70/Readme.md
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🎓 B.Tech in Computer Science & Engineering | Full-Stack & Applied AI Developer
Passionate about architecting scalable web platforms, distributed systems, and native AI/LLM tooling.

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💻 About Me

I am a B.Tech Computer Science student from India, building production-ready web applications and exploring the frontier of Applied AI and Systems Engineering. I focus on deep engineering principles rather than superficial frameworks—from training transformers from mathematical first principles in PyTorch to writing high-throughput C++ bridges for game engines.

  • 🎓 Academics: Pursuing Bachelor of Technology (B.Tech) in Computer Science & Engineering.
  • 🔭 Active Project: Co-building ScholarDive — an intelligent learning and automated assessment ecosystem.
  • ⚙️ Systems & AI: Built Unreal-MCP, bridging local LLM agent workflows into Unreal Engine using C++ and the Model Context Protocol.
  • 📚 Core CS Strengths: Data Structures & Algorithms (DSA), System Design, Object-Oriented Programming (OOP), OS, Computer Networks, and DBMS.
  • 🎯 Looking For: SDE Internships, Full-Time Graduate Roles, and Open-Source Collaborations.

🚀 Featured Projects

🎯 ScholarDive

An intelligent, adaptive educational assessment platform engineered to automate grading workflows and personalized learning paths.

  • Implemented automated semantic scoring using NLP evaluation pipelines.
  • Architected low-latency backend microservices handling student submissions and analytics.
  • Designed real-time evaluation feedback loops and responsive assessment dashboards.

React Node.js FastAPI MongoDB Python PyTorch

⚡ Unreal-MCP

An open-source Model Context Protocol (MCP) host integration for Unreal Engine enabling AI-driven developer automation.

  • Bridges external LLM reasoning agents directly to Unreal Engine's editor C++ APIs.
  • Automates scene manipulation, viewport controls, and asset operations via structured RPCs.
  • Engineered low-latency inter-process communication directly inside native engine runtime.

C++ Unreal Engine Model Context Protocol TypeScript

🧠 Mini GPT

A decoder-only autoregressive transformer model implemented and trained from mathematical scratch in PyTorch.

  • Implemented multi-head self-attention, positional embeddings, and residual layers.
  • Constructed custom tokenization and GPU-accelerated batch training loops.
  • Analyzed convergence rates, perplexity, and KV-cache generation performance.

Python PyTorch Transformers Deep Learning CUDA

📊 GGStats

A gaming statistics analytics platform providing players with performance insights and live visual telemetry.

  • Integrated external telemetry APIs with an in-memory Redis caching layer.
  • Significantly reduced third-party rate limiting and boosted query throughput.
  • Created a responsive, interactive statistics dashboard with modern data visualization.

React TypeScript Express Redis Tailwind CSS

🛠️ Tech Stack & Technical Arsenal

⚡ Languages

🌐 Backend & DBs

🤖 AI & Systems

🎨 Frontend & Cloud

💻 Developer Environments

☁️ Deployment & Edge

🤖 Local AI & Tooling

📊 GitHub Activity & Statistics

GitHub Followers   GitHub Stars   Repositories

GitHub Stats Top Languages

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  1. Unreal-MCP Unreal-MCP Public

    Model Context Protocol (MCP) Server for Unreal Engine — AI-powered real-time level editing, material generation, and scene orchestration.

    Python 1

  2. ai-anime-challenge ai-anime-challenge Public

    Domain-specific restoration pipeline for broadcast anime video on the Re-Anime600 benchmark (AINIME Challenge @ WACV 2027 Workshop).

    Python 1

  3. localai-org/kimodo.cpp localai-org/kimodo.cpp Public

    Animate skeletons with natural language; NVIDIA's Kimodo ported to C++/GGML

    C++ 925 101

  4. Jeevant010/Mini_Generative_Pretrained_Transformer Jeevant010/Mini_Generative_Pretrained_Transformer Public

    This is created for my own tutor Large Language Model (LLM) .

    Jupyter Notebook 1 1

  5. Jeevant010/Shoot_Catcher Jeevant010/Shoot_Catcher Public

    Jupyter Notebook

  6. Flex-Watch Flex-Watch Public

    Movie featuring web platform featuring React 19, Node.js/Express BFF, relational persistence with Prisma & SQLite/PostgreSQL, Clerk auth, and a Python cosine-similarity recommendation engine.

    JavaScript 1 1