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  • Bengaluru Urban, India
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pranaysb/README.md

Applied AI Engineer • Vision AI • Agentic Systems • ML Engineering

Building deployable AI systems — from computer vision and multimodal intelligence to agentic workflows and production-ready ML systems.

IIT Bhilai   •   Research @ IIT Hyderabad   •   Founder @ Optisense AI

About Me

Focus

  • Building Applied AI systems that move beyond notebooks
  • Working on Vision AI, multimodal intelligence, and LLM systems
  • Designing agentic workflows and intelligent automation systems
  • Developing end-to-end ML systems with deployment in mind

Background

B.Tech Electrical Engineering
Indian Institute of Technology Bhilai

AI/ML Research Intern
Visual Intelligence & Learning Lab, IIT Hyderabad

Founder — Optisense AI
Building AI-powered smart infrastructure systems

Current Focus

Building Exploring Learning
Vision AI Systems Agentic Workflows MCP
Full-Stack AI Apps LLM Automation LangGraph
Edge AI & Real-Time Inference Retrieval Systems Production ML
ML Pipelines AI Evaluations Multi-Agent Systems

Currently Building

→ Agentic AI Systems
→ Vision-Language Applications
→ Production ML Pipelines
→ Real-Time Edge AI Systems
→ Deployable Full-Stack AI Products

Building

Optisense AI

AI-driven smart infrastructure startup focused on:

  • Automatic Number Plate Recognition (ANPR)
  • Smart Parking Systems
  • Edge AI Deployment
  • Real-Time Monitoring
  • Intelligent Vision Systems

Agentic AI Systems

Building autonomous AI workflows using:

  • LLM Agents
  • MCP (Model Context Protocol)
  • Retrieval Systems (RAG)
  • Multi-Agent Systems
  • Tool Calling & Workflow Automation

Vision AI & Multimodal Systems

Working on:

  • Computer Vision
  • Visual Question Answering (VQA)
  • Scene Understanding
  • 3D Gaussian Splatting
  • Real-Time Inference Pipelines

End-to-End AI Products

Building deployable systems with:

  • FastAPI
  • React & Next.js
  • PostgreSQL & APIs
  • Dockerized Deployments
  • Full-Stack ML Workflows

Tech Stack

Languages

AI / Machine Learning

Backend & APIs

Frontend

Databases

DevOps & Infrastructure

Hardware & Embedded Systems

Areas of Interest

Applied AI Vision AI Agentic Systems ML Systems
Real-world AI products Scene understanding LLM agents Deployment
Intelligent automation Multimodal intelligence Workflow orchestration Scalable inference
Production systems Edge perception Tool use & orchestration Full-stack ML

GitHub Analytics



Connect

Building intelligent systems that move from research to real-world deployment.

Pinned Loading

  1. API-Forge-AI API-Forge-AI Public

    Autonomous generation of production-ready SDKs. Upload your OpenAPI spec. Watch our agents autonomously map dependencies, test endpoints, fix bugs, and generate production-ready SDKs.

    Python

  2. negoaitech negoaitech Public

    Forked from ujwal209/negoaitech

    TypeScript

  3. pranaysb pranaysb Public

    Config files for my GitHub profile.

  4. VQA-Blip-model VQA-Blip-model Public

    VQA

    Python