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AI/ML Engineer and Data Scientist with 4+ years building production machine learning and generative AI systems, from ETL pipelines to multi-agent LLM workflows and RAG knowledge bases. Deployed multi-agent AI systems serving 500+ concurrent users with sub-second retrieval across 10K+ documents, cutting inference latency by 50% and lifting response relevance by 40%. Skilled in LLM fine-tuning, RAG pipeline design, and deploying scalable ML models across AWS, Azure ML, and GCP Vertex AI.…AI/ML Engineer and Data Scientist with 4+ years building production machine learning and generative AI systems, from ETL pipelines to multi-agent LLM workflows and RAG knowledge bases. Deployed multi-agent AI systems serving 500+ concurrent users with sub-second retrieval across 10K+ documents, cutting inference latency by 50% and lifting response relevance by 40%. Skilled in LLM fine-tuning, RAG pipeline design, and deploying scalable ML models across AWS, Azure ML, and GCP Vertex AI.

Mujeebur Rehman

Data Analyst, AI Developer, Data Scientist, +6

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AI/ML Engineer and Data Scientist with 4+ years building production machine learning and generative AI systems, from ETL pipelines to multi-agent LLM workflows and RAG knowledge bases. Deployed multi-agent AI systems serving 500+ concurrent users with sub-second retrieval across 10K+ documents, cutting inference latency by 50% and lifting response relevance by 40%. Skilled in LLM fine-tuning, RAG pipeline design, and deploying scalable ML models across AWS, Azure ML, and GCP Vertex AI.…AI/ML Engineer and Data Scientist with 4+ years building production machine learning and generative AI systems, from ETL pipelines to multi-agent LLM workflows and RAG knowledge bases. Deployed multi-agent AI systems serving 500+ concurrent users with sub-second retrieval across 10K+ documents, cutting inference latency by 50% and lifting response relevance by 40%. Skilled in LLM fine-tuning, RAG pipeline design, and deploying scalable ML models across AWS, Azure ML, and GCP Vertex AI.

Available to hire

AI/ML Engineer and Data Scientist with 4+ years building production machine learning and generative AI systems, from ETL pipelines to multi-agent LLM workflows and RAG knowledge bases.
Deployed multi-agent AI systems serving 500+ concurrent users with sub-second retrieval across 10K+ documents, cutting inference latency by 50% and lifting response relevance by 40%. Skilled in LLM fine-tuning, RAG pipeline design, and deploying scalable ML models across AWS, Azure ML, and GCP Vertex AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Masai School

June 1, 2025 - June 1, 2026

Owned design and delivery of a production multi-agent AI system powering personalized curriculum for an ed-tech platform. Engineered multi-agent AI workflows using LangChain Agents, GPT-4o, and Gemini Pro, automating curriculum personalization for 500+ active users. Built real-time query processing, tool invocation, and memory management for context-aware responses. Implemented end-to-end RAG pipelines using ChromaDB and LangChain retrieval chains across 10K+ documents with sub-second retrieval and reduced hallucinations. Designed production FastAPI services exposing LLM-powered endpoints for real-time interactions at scale. Integrated PostgreSQL for session state management and interaction history tracking. Reduced inference latency by 50% via LoRA fine-tuning and prompt engineering, and improved response relevance by 40% through optimized fine-tuning and prompts.

Data Scientist at Delta India

March 1, 2023 - June 1, 2025

Owned end-to-end data pipelines and predictive modeling for business forecasting and executive reporting. Designed ETL pipelines using Python, Pandas, and PostgreSQL, processing 100K+ records with schema validation and data cleansing. Built features for ML training pipelines supporting downstream production deployment. Developed predictive models including ARIMA/SARIMA time-series forecasting and XGBoost/Random Forest classification. Deployed models as FastAPI inference endpoints for real-time predictions. Delivered Power BI dashboards and automated reports, improving reporting efficiency by 30% through optimized ETL and dashboard design. Translated analytical insights into executive narratives for non-technical stakeholders.

Full Stack Developer at AttainUB

March 1, 2021 - March 1, 2023

Built and maintained full-stack web applications and backend microservices for the platform’s core product features. Developed 3+ scalable applications using React.js, Node.js, Express.js, and MongoDB with FastAPI-based microservices. Implemented JWT authentication and designed REST APIs integrated with third-party payment gateways and mapping services. Contributed to CI/CD pipeline setup and deployment workflows to support team releases.