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I am a Senior AI/ML Engineer with 8+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and Agentic AI solutions across cloud and production environments. I specialize in LLMs, RAG, GraphRAG, vector databases, Knowledge Graphs, semantic search, LangChain, LangGraph, and multi-agent architectures, collaborating with cross-functional product, engineering, and business teams to deliver secure, reliable, and high-impact AI solutions in regulated industries including insurance and healthcare.…I am a Senior AI/ML Engineer with 8+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and Agentic AI solutions across cloud and production environments. I specialize in LLMs, RAG, GraphRAG, vector databases, Knowledge Graphs, semantic search, LangChain, LangGraph, and multi-agent architectures, collaborating with cross-functional product, engineering, and business teams to deliver secure, reliable, and high-impact AI solutions in regulated industries including insurance and healthcare.

Mulugeta Robertson

AI Developer, AI Prompt Engineer, Data Scientist, +2

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I am a Senior AI/ML Engineer with 8+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and Agentic AI solutions across cloud and production environments. I specialize in LLMs, RAG, GraphRAG, vector databases, Knowledge Graphs, semantic search, LangChain, LangGraph, and multi-agent architectures, collaborating with cross-functional product, engineering, and business teams to deliver secure, reliable, and high-impact AI solutions in regulated industries including insurance and healthcare.…I am a Senior AI/ML Engineer with 8+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and Agentic AI solutions across cloud and production environments. I specialize in LLMs, RAG, GraphRAG, vector databases, Knowledge Graphs, semantic search, LangChain, LangGraph, and multi-agent architectures, collaborating with cross-functional product, engineering, and business teams to deliver secure, reliable, and high-impact AI solutions in regulated industries including insurance and healthcare.

Available to hire

I am a Senior AI/ML Engineer with 8+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and Agentic AI solutions across cloud and production environments.

I specialize in LLMs, RAG, GraphRAG, vector databases, Knowledge Graphs, semantic search, LangChain, LangGraph, and multi-agent architectures, collaborating with cross-functional product, engineering, and business teams to deliver secure, reliable, and high-impact AI solutions in regulated industries including insurance and healthcare.

Skills

Experience Level

Expert

Expert

Expert

Expert

Work Experience

Senior Machine Learning Engineer at LTIMINDTREE

September 1, 2024 - February 1, 2026

Led development of enterprise AI, Generative AI, and Agentic AI solutions supporting fraud detection, customer segmentation, predictive maintenance, enterprise search, and AI-powered workflow automation. Architected scalable ML and Generative AI pipelines on AWS and Azure, built multi-agent AI systems, and implemented semantic search and GraphRAG strategies for enterprise knowledge retrieval and automation.

Senior Data/ML Engineer at CEI

June 1, 2022 - August 1, 2024

Developed predictive analytics and time-series forecasting models for supply chain optimization; migrated legacy ML applications to containerized real-time inference; automated end-to-end ML workflows; implemented scalable data ingestion and ETL pipelines; established modular microservices with observability and production monitoring; enabled ONNX-based model portability and cross-cloud deployment.

Data Scientist | Software Engineer at NEBULATECH

April 1, 2018 - June 1, 2022

Built large-scale ETL and ML pipelines for insurance datasets; developed NLP systems for extracting insights from enterprise documents; designed predictive risk scoring and pricing models; implemented explainable AI frameworks; deployed secure ML inference APIs; migrated models to ONNX; refactored legacy batch pipelines into scalable Python services.