I am ABHILASHAI, an AI Engineer / Data Scientist with 9+ years of experience, specializing in LLMs, Generative AI, and scalable ML systems. I have designed and deployed cloud-native AI solutions across insurance, retail, media, and tech industries using Python, PyTorch, TensorFlow, LangChain, and Azure OpenAI to automate workflows and enhance decision-making. I have built end-to-end ML pipelines across AWS, Azure, and GCP, including Retrieval-Augmented Generation (RAG), agent-based reasoning with LangGraph, and document indexing with LlamaIndex. I focus on performance, reliability, and governance, with strong MLOps, prompt optimization, A/B testing, and human-in-the-loop systems to ensure accurate, ethical AI in production, and I enjoy upskilling teams through internal workshops on GenAI and LangChain.

ABHILASH

I am ABHILASHAI, an AI Engineer / Data Scientist with 9+ years of experience, specializing in LLMs, Generative AI, and scalable ML systems. I have designed and deployed cloud-native AI solutions across insurance, retail, media, and tech industries using Python, PyTorch, TensorFlow, LangChain, and Azure OpenAI to automate workflows and enhance decision-making. I have built end-to-end ML pipelines across AWS, Azure, and GCP, including Retrieval-Augmented Generation (RAG), agent-based reasoning with LangGraph, and document indexing with LlamaIndex. I focus on performance, reliability, and governance, with strong MLOps, prompt optimization, A/B testing, and human-in-the-loop systems to ensure accurate, ethical AI in production, and I enjoy upskilling teams through internal workshops on GenAI and LangChain.

Available to hire

I am ABHILASHAI, an AI Engineer / Data Scientist with 9+ years of experience, specializing in LLMs, Generative AI, and scalable ML systems. I have designed and deployed cloud-native AI solutions across insurance, retail, media, and tech industries using Python, PyTorch, TensorFlow, LangChain, and Azure OpenAI to automate workflows and enhance decision-making. I have built end-to-end ML pipelines across AWS, Azure, and GCP, including Retrieval-Augmented Generation (RAG), agent-based reasoning with LangGraph, and document indexing with LlamaIndex. I focus on performance, reliability, and governance, with strong MLOps, prompt optimization, A/B testing, and human-in-the-loop systems to ensure accurate, ethical AI in production, and I enjoy upskilling teams through internal workshops on GenAI and LangChain.

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Experience Level

Expert
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Expert
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Expert
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Work Experience

AI Engineer at MetLife
March 1, 2024 - Present
Led the end-to-end design and deployment of a scalable cloud-native AI transformation for MetLife. Implemented Retrieval-Augmented Generation (RAG) pipelines and LLM solutions across Azure, AWS, and GCP, utilizing LangChain, LlamaIndex, LangGraph, and GPT-4 to modernize customer service, document processing, and decision workflows. Established enterprise-grade MLOps, secure cloud infrastructure, and observability for production-grade LLM applications.
Software Engineer – Machine Learning, Generative AI for Ads at Meta (Remote)
January 1, 2023 - February 1, 2024
Designed multimodal AI system to enhance ad ranking using generative and discriminative ML techniques. Built LLM-augmented retrieval with LangGraph for multimodal agents, integrated video understanding and music/audio generation, and deployed scalable MLOps pipelines across AWS, GCP, and Azure for robust production-grade models.
Machine Learning Engineer at The Home Depot
January 1, 2020 - December 1, 2022
Designed and deployed advanced ML and deep learning models powering intelligent product ranking and recommendations. Built multimodal pipelines, streaming and batch data processing with Apache Beam and Vertex AI, and implemented end-to-end ML workflows with CI/CD across GCP, Azure, and AWS.
Data Scientist at Paramount
July 1, 2019 - October 1, 2020
Developed data-driven marketing analytics and campaign optimization tools. Implemented title matching, box office indexing, automated reporting, and rigorous evaluation to improve marketing ROI; led data integration and exploratory analyses for audience targeting and revenue optimization.
Data Scientist at Best Buy
January 1, 2018 - June 1, 2019
Designed and deployed predictive analytics for omnichannel customer behavior and product sales forecasting. Built end-to-end ML workflows for query rewriting, semantic search, and personalized recommendations; delivered online A/B testing and robust model validation.
Python Developer at eSparkBiz
June 1, 2014 - May 1, 2016
Developed scalable backend services with FastAPI and Django, building RESTful APIs, data schemas, and secure authentication; collaborated with front-end teams to deliver integrated solutions and automated testing.

Education

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Qualifications

Industry Experience

Financial Services, Retail, Media & Entertainment, Software & Internet