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Prashant2813/README.md

Hi, I'm Prashant 👋

AI & Machine Learning Engineer | Backend & Agentic Systems Developer
Passionate about building autonomous agentic pipelines, computer vision models, and production-ready APIs.

🚀 What I'm Working On

  • 🤖 Building multi-agent career automation workflows with LangGraph, Ollama, and FastAPI.
  • 👁️ Developing vision-language applications leveraging BLIP transformers and PyTorch.
  • 🛠️ Designing low-footprint, local inference pipelines optimized for standard developer hardware.

🛠️ Tech Stack & Tooling

AI / Machine Learning & Agents:
Python • LangGraph • LangChain • PyTorch • Hugging Face (Transformers / BLIP) • Ollama • Vector Embeddings

Backend & Web:
FastAPI • Flask • RESTful APIs • HTML5 / CSS3 • JavaScript

Developer Tools & Hygiene:
Git • GitHub • Virtual Environments • Pydantic

📌 Featured Projects

  • AI-Job-Application-Agent
    Lightweight local multi-agent system built with LangGraph, FastAPI, and Qwen 2.5 for resume analysis, vector-based semantic matching, and dynamic interview question synthesis.

  • Visual-Description-Using-Deep-Learning
    Vision-language application utilizing Salesforce's fine-tuned BLIP model, PyTorch, and Flask to generate natural visual descriptions and synthesize audio narration.

Pinned Loading

  1. AI-Job-Application-Agent AI-Job-Application-Agent Public

    An end-to-end multi-agent job application system built with LangGraph, FastAPI, and local LLMs (Ollama) featuring semantic resume-job matching and interview preparation.

    Python

  2. Visual-Description-Using-Deep-Learning Visual-Description-Using-Deep-Learning Public

    An end-to-end Flask web application that generates contextual visual captions from images using the BLIP vision-language model, with integrated text-to-speech audio synthesis.

    Jupyter Notebook