Available to hire
I am a seasoned Machine Learning Engineer with 10+ years of experience designing, building, and deploying scalable AI and ML systems. I specialize in Generative AI, large language models, NLP, and Retrieval-Augmented Generation (RAG), delivering end-to-end ML pipelines and production-grade APIs.
I am comfortable across cloud platforms (AWS, GCP, Azure), enjoy mentoring junior ML engineers, and love translating complex data problems into practical AI solutions that power product decisions.
Skills
Experience Level
Expert
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Language
English
Fluent
Work Experience
Senior Machine Learning Engineer at CodeLabs
January 1, 2021 - PresentDesigned and deployed enterprise-grade Generative AI solutions using transformer-based models, built Retrieval-Augmented Generation (RAG) pipelines with vector databases, and developed production-grade APIs. Led end-to-end ML workflows with LangChain, RAG, and cloud deployment across AWS, GCP, and Azure. Implemented model monitoring, retraining pipelines, and containerized services using Docker and Kubernetes. Mentored junior ML engineers and collaborated with product and engineering teams to translate business problems into scalable AI solutions.
Senior Machine Learning Engineer at Stealth, Inc
July 1, 2019 - December 31, 2020Designed multilingual NLP systems for sentiment analysis, text classification, and document clustering. Built data preprocessing pipelines for large datasets with Python and Apache Spark. Implemented recommendation systems and predictive analytics for business intelligence use cases. Deployed ML APIs and data pipelines, collaborated with product teams to translate business problems into ML solutions, and established model monitoring and retraining workflows.
Senior Machine Learning Engineer at Fallacy Solutions
August 1, 2015 - June 30, 2019Built machine learning models for NLP tasks including text classification, sentiment analysis, and document clustering. Developed data preprocessing pipelines for large-scale datasets using Python and Apache Spark. Implemented recommendation systems and predictive analytics for business intelligence use cases. Created scalable ETL pipelines for training data and feature generation. Deployed ML services via REST APIs and integrated with enterprise applications. Collaborated with product teams to translate business problems into ML solutions. Implemented model monitoring and retraining pipelines to maintain production performance.
Education
Master of Science at University of Engineering and Technology (UET)
January 11, 2030 - March 18, 2026Qualifications
Industry Experience
Software & Internet, Professional Services, Media & Entertainment
Skills
Experience Level
Expert
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