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Anish User

@anishbhat

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AI Engineer specializing in LLMs, RAG, and agentic systems—building production-grade GenAI for cloud and edge.

India

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What I'm looking for

I’m looking to build reliable LLM/RAG and agentic AI systems—shipping production APIs and edge-ready deployments with measurable performance gains and strong engineering ownership.

I’m an AI/GenAI Engineer focused on Large Language Models, Retrieval-Augmented Generation (RAG), and Agentic AI systems. I build and deploy production-grade AI applications across cloud and edge, covering the full ML lifecycle from data processing and model quantization to backend integration and containerized deployment.

In embedded AI and automation roles, I’ve trained and optimized object detection models (structured pruning + INT8 quantization), built low-latency pipelines with sensor fusion, and exposed REST APIs for telemetry and monitoring. I’m also an author of 3 peer-reviewed papers, and I’ve architected multi-agent AI voice automation platforms using event-driven orchestration tools and real-time analytics.

Experience

Work history, roles, and key accomplishments

AI Engineer & Automation Developer

Independent Freelance

Dec 2024 - Jun 2026 (1 year 6 months)

Built and deployed a full-stack e-commerce platform using Medusa.js, owning end-to-end architecture, integrations, and deployment workflows. Developed multimodal assistive AI for realtime scene understanding and architected a multi-agent AI voice automation platform using event-driven webhook orchestration and real-time analytics.

Full Stack Developer Order Management Multimodal AI BLIP 2 Multi Agent Systems fastAPI Next.js Webhooks N8n Supabase Twilio VAPI ElevenLabs Real Time Analytics WhatsApp Automation

Embedded AI Intern

Decibels Lab

Feb 2025 - Apr 2025 (2 months)

Trained and evaluated YOLOv11 object detection models on KITTI datasets, reducing model size via structured pruning and INT8 quantization. Built containerized embedded AI services and REST APIs for telemetry/monitoring, and engineered preprocessing pipelines for edge realtime detection.

YOLOv11 Object Detection Structured Pruning INT8 Quantization Raspberry Pi data preprocessing Sensor Fusion Docker REST APIs Telemetry Sensor Fusion

Education

Degrees, certifications, and relevant coursework

KLE Technological University

Bachelor of Engineering (B.E.), Computer Science (Artificial Intelligence)

2022 - 2026

Activities and societies: Honors include 1st Place, College Mechatronics Competition (130+ teams); HackKarnataka hackathon finalist & team lead; Winner, Smart India Hackathon (internal round).

B.E. in Computer Science (Artificial Intelligence) at KLE Technological University (2022–2026).