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whitebeard10/README.md
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Innovating at the Intersection of Systems & Science

Software Engineer | AI Researcher | Full-Stack Developer

Portfolio LinkedIn

👨‍💻 About Me

I am a software engineer and AI researcher deeply invested in the mechanics of efficient engineering and architectural scalability. With a strong foundation in Computer Science and Engineering, I thrive on complex problem-solving—whether that involves analyzing neural network efficiency, optimizing enterprise data pipelines, or architecting robust full-stack applications from the ground up.

  • 🔭 Current Focus: Researching high-level AI architectures (including LLM context window efficiency and state-space models) and developing specialized, AI-driven full-stack tools.
  • 💼 Professional Experience: Background in enterprise IT analysis, system testing, and automation. I leverage tools like VQL, Python, Docker, and Informatica PowerCenter to streamline backend operations and optimize complex SQL queries.
  • 🏔️ Beyond the Keyboard: When I’m away from a screen, I am usually maintaining a strict strength training regimen, refining visual UI/UX designs, or planning high-altitude alpine treks.

🛠️ Tech Stack & Arsenal

Languages & Core Frameworks

Python TypeScript Next.js React Java

Data, DevOps & Architecture

Docker SQL Informatica PyTorch


🚀 Highlighted Projects

  • Mistral-Domain-Support-Assistant
    A specialized, context-aware chatbot powered by the Mistral LLM architecture, engineered to provide accurate, domain-specific enterprise support and troubleshooting.
  • RAG-Knowledge-Assistant
    An advanced Retrieval-Augmented Generation (RAG) system utilizing vector databases and large language models to ingest, index, and query extensive document sets for precise data synthesis.
  • Gym-Tracker
    A comprehensive fitness application designed to track high-intensity training splits, progressive overload metrics, and macro-nutrient targets for optimized athletic performance.
  • WealthWise
    An AI-driven personal finance tracker built with Next.js, React, and TypeScript. Features intelligent transaction categorization, budgeting, and predictive expense forecasting models.

Let's build something exceptional. Connect with me on LinkedIn or check out my Portfolio.

An image of @whitebeard10's Holopin badges, which is a link to view their full Holopin profile

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  1. WealthWise WealthWise Public

    WealthWise: AI Personal Finance Tracker, Budgeting & Expense Forecasting App. Track income/expenses, categorize transactions with AI, set budgets, and forecast spending. Built with Next.js, React, …

    TypeScript 2

  2. farm2home farm2home Public

    e commerce website for farm products(login, register, cart, checkout, feedbback and farmer delivery site)

    HTML 11

  3. Text-Summarizer-with-WSD Text-Summarizer-with-WSD Public

    This project is a text summarization system that leverages word sense disambiguation and pre-trained T5 models. It identifies and summarizes repeating words with different meanings, using spaCy for…

    Python 6 1

  4. Gym-Tracker Gym-Tracker Public

    Vide coded - Personalised gym and diet tracker

    Kotlin 1

  5. Mistral-Domain-Support-Assistant Mistral-Domain-Support-Assistant Public

    Fine-tuning Mistral-7B for domain-specific support using QLoRA; featuring automated evaluation (ROUGE/BLEU) and a production-ready FastAPI inference engine.

    Python 1

  6. RAG-Knowledge-Assistant RAG-Knowledge-Assistant Public

    A production-grade Retrieval-Augmented Generation (RAG) system built with FastAPI, LangChain, Pinecone, and SentenceTransformers. This project demonstrates high-fidelity retrieval, cross-encoder re…

    Python 1