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mohd-vasim/README.md

Hi there, I'm Mohammed Vasim πŸ‘‹

AI Engineer | Agentic AI Systems | Generative AI | Building Production-Grade Intelligent Systems

πŸš€ Designing AI systems that solve real business problems 🧠 From data & models to APIs, infra, and deployment


πŸ‘¨β€πŸ’» About Me

I’m an AI Engineer focused on building and deploying intelligent systems that deliver real business value.
My work spans agentic AI, LLM-powered applications, voice AI, and AI-first backend systems β€” from idea to production.

I specialize in turning ambiguous business requirements into scalable AI solutions, combining:

  • strong backend engineering,
  • modern LLM frameworks,
  • and production-ready MLOps practices.

I don’t just build models β€” I build systems that run reliably in the real world.


⚑ What I Work On

  • 🧠 Agentic AI Systems
    Design and deploy multi-step, tool-using AI agents using LangChain, LangGraph, and structured workflows.

  • πŸ€– LLM-Powered Applications
    Build RAG pipelines, internal copilots, chat systems, and reasoning-focused AI assistants for real business use cases.

  • πŸŽ™οΈ Voice AI & Conversational Systems
    End-to-end real-time voice bots (STT β†’ reasoning β†’ TTS) with streaming audio and low-latency pipelines.

  • πŸ› οΈ AI-First Backend Engineering
    Production APIs using FastAPI / Flask, Dockerized microservices, async pipelines, and secure integrations.

  • πŸ“Έ Applied Computer Vision
    Video analytics systems (people counting, tracking) using OpenCV, SORT, RabbitMQ, and event-driven design.


🧰 Tech Stack

Core

  • Python, Linux, Git, GitHub
  • FastAPI, Flask, REST APIs
  • Docker, Docker Compose, ECS/ECR-style deployments

AI / ML

  • PyTorch, TensorFlow
  • Hugging Face, OpenAI-compatible APIs
  • LangChain, LangGraph, RAG pipelines
  • Whisper-based STT, neural TTS systems

Data & Infra

  • MySQL, MongoDB
  • RabbitMQ, async processing
  • Logging, monitoring, and production debugging




πŸ“Œ Selected Work & Focus Areas

  • AbstractGPT β€” A ChatGPT-style AI system focused on reasoning, tool-use, and co-thinking workflows
  • Agentic Microservices β€” Modular AI agents exposed via APIs for enterprise workflows
  • Voice-Enabled AI Systems β€” Real-time conversational bots with streaming inference
  • AI Automation Pipelines β€” Content generation, internal tools, and business process automation

(Details available in pinned repositories πŸ‘‡)


πŸ“ˆ GitHub Stats

mohd-vasim github stats

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πŸ“¬ Let’s Connect


β€œBe so good they can’t ignore you.” β€” Steve Martin

Pinned Loading

  1. ai-engineering ai-engineering Public

    Jupyter Notebook

  2. IBM-AI-Engineering IBM-AI-Engineering Public

    The IBM AI Engineering Professional Certificate on Coursera is a comprehensive program designed to equip learners with the skills necessary to excel in AI and machine learning. This 13-course serie…

    Jupyter Notebook 2

  3. LLMs-from-scratch LLMs-from-scratch Public

    Forked from rasbt/LLMs-from-scratch

    Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

    Jupyter Notebook

  4. machine-learning-book-pytorch machine-learning-book-pytorch Public

    Forked from rasbt/machine-learning-book

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

    Jupyter Notebook

  5. python-dsa-leetcode python-dsa-leetcode Public

    Python