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I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience building and deploying ML models. I specialize in NLP, ML Ops, speech recognition, deep learning, Python, and Generative AI such as LLMs, RAG, fine-tuning and prompt engineering. I have extensive cloud experience across AWS, GCP, and Azure, with a track record delivering projects in Finance, Healthcare, Marketing and Transportation. In roles at Microsoft, Nike, Urbint, and Amazon, I built enterprise AI agents, optimized ML pipelines, and led ML Ops initiatives. I enjoy staying close to the latest advances in NLP and GenAI and thrive in cross-functional teams to create impactful AI solutions.…I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience building and deploying ML models. I specialize in NLP, ML Ops, speech recognition, deep learning, Python, and Generative AI such as LLMs, RAG, fine-tuning and prompt engineering. I have extensive cloud experience across AWS, GCP, and Azure, with a track record delivering projects in Finance, Healthcare, Marketing and Transportation. In roles at Microsoft, Nike, Urbint, and Amazon, I built enterprise AI agents, optimized ML pipelines, and led ML Ops initiatives. I enjoy staying close to the latest advances in NLP and GenAI and thrive in cross-functional teams to create impactful AI solutions.

Umang Methi

AI Engineer, Data Scientist, Full Stack Developer, +4

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I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience building and deploying ML models. I specialize in NLP, ML Ops, speech recognition, deep learning, Python, and Generative AI such as LLMs, RAG, fine-tuning and prompt engineering. I have extensive cloud experience across AWS, GCP, and Azure, with a track record delivering projects in Finance, Healthcare, Marketing and Transportation. In roles at Microsoft, Nike, Urbint, and Amazon, I built enterprise AI agents, optimized ML pipelines, and led ML Ops initiatives. I enjoy staying close to the latest advances in NLP and GenAI and thrive in cross-functional teams to create impactful AI solutions.…I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience building and deploying ML models. I specialize in NLP, ML Ops, speech recognition, deep learning, Python, and Generative AI such as LLMs, RAG, fine-tuning and prompt engineering. I have extensive cloud experience across AWS, GCP, and Azure, with a track record delivering projects in Finance, Healthcare, Marketing and Transportation. In roles at Microsoft, Nike, Urbint, and Amazon, I built enterprise AI agents, optimized ML pipelines, and led ML Ops initiatives. I enjoy staying close to the latest advances in NLP and GenAI and thrive in cross-functional teams to create impactful AI solutions.

Available to hire

I am a highly motivated and experienced machine learning engineer with over a decade of hands-on experience building and deploying ML models. I specialize in NLP, ML Ops, speech recognition, deep learning, Python, and Generative AI such as LLMs, RAG, fine-tuning and prompt engineering. I have extensive cloud experience across AWS, GCP, and Azure, with a track record delivering projects in Finance, Healthcare, Marketing and Transportation.

In roles at Microsoft, Nike, Urbint, and Amazon, I built enterprise AI agents, optimized ML pipelines, and led ML Ops initiatives. I enjoy staying close to the latest advances in NLP and GenAI and thrive in cross-functional teams to create impactful AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Generative AI Engineer at Microsoft Corporation

February 1, 2023 - February 1, 2026

Designed and developed a robust AI Agent using Generative AI, LLMs, and NLP techniques. Created custom self-instruct datasets, applied prompt engineering, and finetuned LLMs. Built a RAG pipeline with vector and graph databases (Neo4j), explored NLP/NLU/NER to improve decision-making, and deployed via Azure Databricks and Azure AI. Implemented Lex and dialog flows, optimized inference speed with TensorRT and Nvidia GPUs, and integrated RASA for contextual chatbots to enhance conversational capabilities.

Sr. Data Scientist - ML/NLP Specialist at Nike, Inc

February 1, 2020 - January 1, 2023

Leveraged AWS SageMaker to develop and deploy ML models for supply chain optimization, Personalize and Rekognition for personalized recommendations and CV-based quality checks. Applied NLP with Comprehend and Lex, built DL models on EC2 P3 instances, and implemented ML Ops with SageMaker Pipelines. Conducted A/B testing with Augmented AI and delivered data visualizations with QuickSight, DynamoDB/Redshift for scalable insights. Mentored juniors and built preprocessing pipelines with Glue and Lambda.

ML/Data Engineer at Urbint

November 1, 2017 - February 1, 2020

Developed and deployed ML-driven recommendations for an e-commerce client, including collaborative filtering, matrix factorization, and content-based filtering. Led healthcare domain AI imaging analysis for diagnosis, discovered drug efficacy/toxicity models for drug discovery, and built personalized medicine platforms. Implemented sentiment analysis for social media, environmental monitoring models, and conservation impact predictions.

Machine Learning Intern at Amazon

May 1, 2017 - October 1, 2017

Contributed to Alexa development with a focus on NLU, NLP, ML, speech recognition, and deep learning. Collaborated with cross-functional teams to deploy ML models for Alexa features, including voice recognition, NLU, and personalized recommendations.

Full Stack Developer at ActivTrak

June 1, 2016 - April 1, 2017

Built lightweight, high-performance web applications with strong front-end and back-end integration. Designed responsive UIs, optimized server-side logic, and implemented scalable architectures to ensure smooth user experiences.

Amazon ML Intern at Amazon

May 1, 2017 - October 1, 2017

Contributed to Alexa development, focusing on NLU, NLP, ML, speech recognition and deep learning. Collaborated with cross-functional teams to develop and deploy ML models for Alexa features, including voice recognition, natural language understanding, and personalized recommendations.

Amazon Machine Learning Intern at Amazon

May 1, 2017 - October 1, 2017

Contributed to the development of Amazon Alexa, focusing on NLU, NLP, ML, speech recognition and deep learning techniques. Collaborated with cross-functional teams to develop and deploy ML models for Alexa features, including voice recognition, NLU and personalized recommendations.