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desh Sabkat

@deshsabkat

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I build production LLM, RAG, and multi-agent systems that improve clinical safety, user adoption, and operating costs.

Bangladesh

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What I'm looking for

I'm looking to build production AI systems where LLM orchestration, retrieval, safety validation, and scalable deployment create measurable user and business outcomes.

I've delivered 17+ production-ready LLM systems for enterprise and startup clients, including chatbot automation, workflow orchestration, and AI-powered SaaS products. My work combines LangGraph, FastAPI, PostgreSQL, Docker, and cost-aware LLM routing to create reliable systems with measurable business impact.

I built clinician-facing decision support with HITL safety controls and 92% retrieval accuracy, and launched CVSync AI for 1,000+ users, generating 4,200+ CVs with a 98% completion rate. I also bring computer vision experience in YOLO-based detection systems and healthcare AI, with a focus on safety validation, evaluation, and scalable deployment.

Experience

Work history, roles, and key accomplishments

Current

Independent Applied AI Engineer

Current

Freelance

Jan 2025 - Present (1 year 8 months)

Delivered 17+ production-ready LLM systems for enterprise and startup clients, including multi-agent systems and scalable backend infrastructure. Reduced operational costs by 35% through cost-aware LLM routing and optimized retrieval pipelines.

LangGraph Crew AI fastAPI PostgreSQL Docker LLM Evaluation Cost Aware Multi Model Routing Multi Agent Systems

Junior AI Engineer

Archiplex

Jun 2024 - Dec 2024 (6 months)

Built and evaluated machine learning pipelines for computer vision tasks, improving model accuracy by 15%. Streamlined training workflows and reduced inference latency by 40% in production-like environments.

Machine Learning Computer Vision data preprocessing Feature Engineering Model Deployment Performance Monitoring