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kpradyun/README.md

Keerthi Pradyun

Integrated M.Tech in Computer Science Engineering | University of Hyderabad

A motivated software engineer with a strong academic foundation and hands-on experience in full-stack web development, system architecture, and artificial intelligence. I enjoy combining analytical puzzle-solving with UI/UX principles to build efficient, user-centric applications.

🔭 Current Focus

I am currently dedicating my time to a few long-term engineering initiatives:

  • TUI-do: Developing a terminal-native Kanban board for the FOSS Hack event.
  • Enterprise Banking System: Architecting a comprehensive, secure banking platform as a semester-long software engineering endeavor.
  • Code-Smell AI: Training a machine learning model designed to detect "structural smells" in codebases.

🛠️ Technical Expertise

  • Languages: C, Java, Python, SQL, JavaScript, HTML/CSS, PHP
  • AI & Machine Learning: LangChain, LangGraph, FAISS, Vector Embeddings, Groq, HuggingFace
  • Web Technologies: ReactJS, Node.js, Puppeteer
  • Databases & Tools: MongoDB, MySQL, Git, Docker, NetworkX
  • Core Concepts: Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, Computer Architecture, Compiler Design

🏆 Featured Work & Research

Publications

Structural Centrality Scoring (SCS) — SmartCom 2026

  • Introduced a metric-driven workflow to transform static call graphs into actionable architectural insights.
  • Developed a novel metric combining Betweenness Centrality and PageRank to identify architectural hotspots.
  • Built a Python/NetworkX toolchain to filter architectural noise by 30%, differentiating between runtime overhead and structural importance.

Key Projects

  • F1 Insight Agent: Architected a specialized AI agent using LangGraph and Groq to perform multi-step reasoning over Formula 1 datasets. Integrated external APIs for real-time telemetry and race statistics.
  • Multi-Source RAG Pipeline: Developed a Retrieval-Augmented Generation system using FAISS and Hugging Face embeddings to enable semantic search over unstructured documents, significantly reducing LLM hallucination rates through recursive character splitting.
  • Electricity Bill Generator: Engineered a full-stack digitization platform for TSSPDCL billing cycles. Implemented a 3-tier RBAC system with automated logic for rolling arrears and late fines, plus a custom CSS engine for thermal-style receipts.
  • Headless Web Scraper: Built a Puppeteer-based headless browser scraper to extract multi-category data, supported by custom REST API endpoints for triggering scrapes and retrieving sanitized CSV data.

📫 Let's Connect

Popular repositories Loading

  1. kpradyun kpradyun Public

    Config files for my GitHub profile.

    1

  2. Notice-Board Notice-Board Public

    A Notice Board Management System with OOPS concepts in Java

    Java 1

  3. SSCA SSCA Public

    A research and analysis toolkit implementing the Static Structural Call-Graph Analysis (SSCA) Strategy for C programs. Includes static call-graph extraction, structural metric computation, architec…

    HTML 1

  4. Web-scraping Web-scraping Public

    JavaScript 1

  5. EBG EBG Public

    PHP 1

  6. RAG RAG Public

    Python 1