Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Senior Machine Learning Engineer with over 8 years of experience building and deploying scalable ML and LLM systems in production. Strong expertise in Python, PyTorch, TensorFlow, ML Ops, and cloud architecture across AWS and Azure. Experienced in prompt engineering, fine-tuning, retrieval-augmented generation, and AI Automation with a proven ability to deliver high-impact solutions through cross-functional collaboration.…Senior Machine Learning Engineer with over 8 years of experience building and deploying scalable ML and LLM systems in production. Strong expertise in Python, PyTorch, TensorFlow, ML Ops, and cloud architecture across AWS and Azure. Experienced in prompt engineering, fine-tuning, retrieval-augmented generation, and AI Automation with a proven ability to deliver high-impact solutions through cross-functional collaboration.

Chrayan Sen

AI Engineer, Data Scientist, Full Stack Developer, +1





Senior Machine Learning Engineer with over 8 years of experience building and deploying scalable ML and LLM systems in production. Strong expertise in Python, PyTorch, TensorFlow, ML Ops, and cloud architecture across AWS and Azure. Experienced in prompt engineering, fine-tuning, retrieval-augmented generation, and AI Automation with a proven ability to deliver high-impact solutions through cross-functional collaboration.…Senior Machine Learning Engineer with over 8 years of experience building and deploying scalable ML and LLM systems in production. Strong expertise in Python, PyTorch, TensorFlow, ML Ops, and cloud architecture across AWS and Azure. Experienced in prompt engineering, fine-tuning, retrieval-augmented generation, and AI Automation with a proven ability to deliver high-impact solutions through cross-functional collaboration.

Available to hire

Senior Machine Learning Engineer with over 8 years of experience building and deploying scalable ML and LLM systems in production. Strong expertise in Python, PyTorch, TensorFlow, ML Ops, and cloud architecture across AWS and Azure. Experienced in prompt engineering, fine-tuning, retrieval-augmented generation, and AI Automation with a proven ability to deliver high-impact solutions through cross-functional collaboration.

Skills

Large Language Models

Experience Level

Expert

Expert

Expert

Expert

Large Language Models

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Machine Learning Engineer at FHH, Inc.

January 1, 2022 - Present

Architect and deploy scalable ML systems in Python using PyTorch and TensorFlow, supporting large and unstructured datasets in production environments.

Associate Machine Learning Engineer at MetaMind

January 1, 2016 - December 31, 2019

Built predictive ML models for risk modeling using Python; designed experimental frameworks; supported cloud-based ML deployment and model lifecycle; developed data engineering workflows for feature extraction, transformation, and integration with downstream ML systems.

Senior Machine Learning Engineer at FHH Inc.

January 1, 2022 - Present

Architected and deployed scalable machine learning and LLM systems in production; led data pipelines, model lifecycle management, and cross-functional collaboration to deliver high-impact AI solutions using Python, PyTorch, TensorFlow, and cloud platforms (AWS/Azure).

NLP Engineer / Conversational AI Engineer at Helix & Co

January 1, 2019 - January 1, 2021

Developed NLP and conversational AI models in Python using deep learning frameworks to power enterprise-grade virtual assistants; implemented prompt engineering and model optimization; integrated NLP pipelines with back-end data services.

Associate Machine Learning Engineer at Meta Mind

January 1, 2016 - January 1, 2019

Designed experimental ML frameworks; built predictive models for risk modeling using Python, R, and SQL on structured financial datasets; supported cloud-based ML deployment and lifecycle management; developed data engineering pipelines for feature extraction and downstream ML systems.