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Achievements

Achievement: Pull SharkAchievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: QuickdrawAchievement: YOLO

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anishkothuri/README.md

Hello, I'm Anish Kothuri 👋

  • 🎓 B.S. Computer Science, Minor in Finance — University of Texas at Dallas (May 2026)
  • 💼 AI Project Manager @ AI4ALL | ML Intern @ Vitatech Biometrics | SWE Intern @ Wellness Center for Older Adults
  • 🚀 Seeking New Grad Software Engineering Roles for 2026

📬 Contact

🛠️ Languages

Python TypeScript JavaScript C++ SQL HTML/CSS Solidity

⚙️ Web Frameworks & Databases

Next.js React Node.js Express.js FastAPI Tailwind CSS Auth0 PostgreSQL MongoDB Supabase MySQL

🤖 AI / ML Frameworks

PyTorch TensorFlow Scikit-Learn OpenCV Pandas NumPy Keras

☁️ Cloud & Developer Tools

AWS Docker Git GitHub Jupyter Figma Jira

💻 Most Used Languages

Python 60% C++ 25% TypeScript 10% JavaScript 5%

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🚀 Projects

🔬 Active Thermal Object Detection | Python, PyTorch, YOLOv8, SAM | May 2025 – Aug 2025

  • Built YOLOv8 models for thermal object detection & active tracking, boosting detection accuracy by 35% and reducing misclassifications by 25%
  • Enhanced model performance with precision +10%, recall +8%, and F1 score +12% for real-time animal tracking in low-visibility conditions

🦠 Predictive Outbreak Analytics Program | Python, LangChain, OpenAI, Scikit-Learn | Aug 2023 – May 2024

  • Developed an AI application using decision trees on 50,000+ COVID-19 records, achieving 92% accuracy in forecasting regional outbreak trends
  • Integrated a RAG workflow to query medical documentation, cross-referencing model outputs with text data for interpretable findings

🤖 CodeWalker | Python, FastAPI, Next.js, TypeScript, Ollama, ChromaDB | June 2026

  • Built a fully local, open-source codebase Q&A tool letting developers browse any public GitHub repo and ask natural language questions about structure and code, with answers streamed back as clickable file:line citations
  • Implemented a RAG pipeline using deepseek-coder:6.7b (LLM) and nomic-embed-text (embeddings) via Ollama, with tree-sitter AST chunking and ChromaDB vector storage — achieving semantic code search with zero API costs
  • Engineered a reflect-and-requery agent loop that autonomously refines search queries up to 3 iterations when initial context is insufficient, improving answer relevance on complex codebases

🤝 Contributions

Pinned Loading

  1. active-thermal-detection active-thermal-detection Public

    Full-stack web app for exploring and running real-time YOLOv8 inference on a manually annotated thermal cattle dataset. React + Node.js + Python FastAPI.

    JavaScript

  2. codewalker codewalker Public

    Local codebase Q&A agent — browse any public GitHub repo and chat with the code. Runs 100% locally via Ollama + ChromaDB, no paid APIs.

    TypeScript

  3. CS4485-Team-10/frontend CS4485-Team-10/frontend Public

    Next.js dashboard for the YouTube Intelligence Platform featuring narrative analysis, claim validation, trend analytics, creator risk scoring, alerts, and executive insights.

    TypeScript