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Mohamed SALMAN

@mohamedsalman

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AI Engineer building production agentic AI systems, including a local-first desktop assistant.

India

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At Digival IT Solution, I built an AI-powered anomaly detection system for candidate monitoring and reduced video processing latency by 60%+ without accuracy loss. I also implemented vector-based document retrieval and deployed backend services on FastAPI, Docker, Redis queues, and AWS/GCP.

I built RIE, a local-first autonomous AI desktop agent that runs without server infrastructure. It combines multi-agent orchestration, persistent memory, MCP support, and computer-use automation on the user's machine.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Digival IT Solution

Oct 2024 - Present (2 years)

Built AI-powered anomaly detection system for real-time candidate monitoring and engineered queue processing pipeline for large-scale video analysis. Reduced video processing latency by 60%+ and implemented vector-based document retrieval with Pinecone, FAISS, and Qdrant.

fastAPI Docker Redis AWS GCP Pinecone Faiss Qdrant OAuth RBAC API Security Human Face ML Video Processing

Frontend Intern

VSolver Tech

Feb 2023 - Aug 2023 (6 months)

Built and maintained responsive web interfaces using React.js and Tailwind CSS, improving UI consistency. Developed reusable component libraries reducing development time by ~30% and optimized page load performance.

React Tailwind REST APIs Code Review Agile Lazy Loading Code Splitting

Education

Degrees, certifications, and relevant coursework

Jamal Mohamed College

Master of Computer Applications, Computer Applications

2022 - 2024

Pursued a Master of Computer Applications with a focus on Applied AI Systems, Distributed Computing, and Secure Software Design. Capstone project involved building a local-first agentic AI platform.