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dakshp26/README.md

Hi, I'm Daksh👋

Python Docker SQL TypeScript JavaScript Node.js Claude Streamlit

  • 👀 I’m interested in Machine Learning, Full Stack Development, AI Agents and Automation.
  • 💪 Always Building, Always Learning.
  • 🧑‍💼 Open to opportunities.

Technical Skills

  • Languages: Python, TypeScript, JavaScript, Java, SQL (PostgreSQL)
  • Frameworks & Libraries: FastAPI, Next.js, React, LangChain, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, SQLAlchemy, Alembic, Qiskit, MLflow, Airflow, Streamlit
  • Cloud / DevOps: AWS, Azure SQL, Docker, Jenkins (CI/CD), Git, Power BI, Alteryx
  • Concepts: Data Structures & Algorithms, System Design, REST APIs, Microservices, ETL, Machine Learning, Generative AI / LLMs, Cybersecurity
  • Certifications: Machine Learning (Stanford University); AWS Technical Essentials (AWS); Career skills in Data Analysis (Microsoft & LinkedIn); Alteryx Designer Core

Hackathons

  • Third Place – Quantum Solutions for the Environment Challenge (Equal1), 2025
    Python, PyTorch, Qiskit, Docker, OpenCV
    • Developed “Hybrid Quantum Machine Learning for Wildfire Detection”, a quantum science-based solution targeting early wildfire detection.
    • Designed and trained a hybrid quantum–classical model to classify fire/smoke in images.
    • Used OpenCV to process video streams and classify individual frames with the model.
    • Containerised the full workflow with Docker and implemented a microservices-based architecture.

Project Showcase

  • Llamagraph - Visual drag-and-drop AI pipeline builder that runs on local Ollama LLMs. Built with Next.js, FastAPI, Ollama, and React.
  • Terminal Arcade - Classic arcade games that run entirely in your terminal. Built with Python, Textual, and Rich.
  • PDF Dashboard With MCP - Streamlit Dashboard to upload, vectorize, view and chat with PDFs (along with mcp server implementation for retreival by other AI agents)
  • Content Creator AI Agent - Create vertical video content and square images with caption using free stock videos/images from Pexels and MoviePy with Streamlit as the User Interface

Social Links

LinkedIn GitHub

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  1. llamagraph llamagraph Public

    Visual drag-and-drop AI pipeline builder that runs on local Ollama LLMs. Built with Next.js, FastAPI, Ollama, and React.

    TypeScript 1

  2. terminal-arcade terminal-arcade Public

    Play games in the terminal while your agents do the work. Classic arcade games that run entirely in your terminal. Built with Python, Textual, and Rich.

    Python

  3. PDFDashboardWithMCP PDFDashboardWithMCP Public

    Upload PDFs, extract text via OCR/PyMuPDF RAG Pipeline, and chat with your documents using a local LLM — fully offline via Ollama, with a Streamlit dashboard and MCP server for AI assistant integra…

    Python

  4. low-cost-ai-content-creator low-cost-ai-content-creator Public

    AI-powered self-contained agentic tool that turns prompts into social media reels and quote images using Pexels, MoviePy, LangChain, and Streamlit.

    Python