I'm an AI Engineer with 3+ years of experience building and deploying production-grade machine learning, Generative AI, and enterprise automation solutions. I specialize in LLMs, RAG, AI agents, LangChain, OpenAI APIs, Python, SQL, AWS, and MLOps, delivering customer-facing AI applications, workflow automation platforms, enterprise integrations, and scalable ML systems that drive operational efficiency and business outcomes. I excel at translating complex business requirements into practical AI workflows, designing reusable deployment frameworks with Python, Docker, and CI/CD, and collaborating with cross-functional teams to accelerate adoption and measurable results. I’m passionate about responsible AI and continuously learning to push the boundaries of enterprise AI.

Mohd Khaleel Uddin

I'm an AI Engineer with 3+ years of experience building and deploying production-grade machine learning, Generative AI, and enterprise automation solutions. I specialize in LLMs, RAG, AI agents, LangChain, OpenAI APIs, Python, SQL, AWS, and MLOps, delivering customer-facing AI applications, workflow automation platforms, enterprise integrations, and scalable ML systems that drive operational efficiency and business outcomes. I excel at translating complex business requirements into practical AI workflows, designing reusable deployment frameworks with Python, Docker, and CI/CD, and collaborating with cross-functional teams to accelerate adoption and measurable results. I’m passionate about responsible AI and continuously learning to push the boundaries of enterprise AI.

Available to hire

I’m an AI Engineer with 3+ years of experience building and deploying production-grade machine learning, Generative AI, and enterprise automation solutions. I specialize in LLMs, RAG, AI agents, LangChain, OpenAI APIs, Python, SQL, AWS, and MLOps, delivering customer-facing AI applications, workflow automation platforms, enterprise integrations, and scalable ML systems that drive operational efficiency and business outcomes.

I excel at translating complex business requirements into practical AI workflows, designing reusable deployment frameworks with Python, Docker, and CI/CD, and collaborating with cross-functional teams to accelerate adoption and measurable results. I’m passionate about responsible AI and continuously learning to push the boundaries of enterprise AI.

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Language

English
Fluent

Work Experience

AI Engineer at Qualcomm
December 1, 2024 - Present
Partnered with enterprise stakeholders to redesign operational workflows using AI automation solutions, achieving 52% reduction in manual effort and a 38% improvement in process efficiency across 12+ business functions. Engineered AI agents with LangChain, OpenAI APIs, Python, and retrieval frameworks to automate decision workflows, increasing task accuracy by 41% and supporting 25K+ monthly transactions. Built and integrated REST APIs, SQL, JSON, and webhooks to reduce synchronization delays by 58% and improve interoperability across 15+ applications. Developed RAG pipelines using vector embeddings to boost response relevance by 37% and reduce information retrieval time by 63%. Led customer workshops translating business requirements into AI workflows, accelerating deployments by 35% and improving stakeholder adoption. Created reusable deployment frameworks using Python, Docker, and CI/CD pipelines, achieving 99.5% deployment success and scalable automation.
AI Engineer at Phillips
January 1, 2022 - June 1, 2023
Designed and deployed scalable AI/ML models using Python, TensorFlow, and PyTorch to solve complex business problems, improving prediction accuracy and decision-making efficiency in data-driven applications. Built end-to-end ML pipelines from data ingestion to deployment and integrated LLM-based applications (RAG, embeddings, prompt engineering) to enable intelligent automation, conversational AI, and advanced data retrieval. Collaborated with cross-functional teams to translate business requirements into AI-driven solutions, delivering measurable impact through predictive analytics and automation. Implemented data quality checks, model validation, and monitoring to ensure reliability and ethical AI practices.

Education

Masters in Information Science at Trine University
July 1, 2023 - December 1, 2025
Masters in Information Science at Trine University
July 1, 2023 - December 1, 2025
Masters in Information Science at Trine University
July 1, 2023 - December 31, 2025

Qualifications

AWS Certified Machine Learning
January 11, 2030 - June 30, 2026
AWS Certified Machine Learning
January 11, 2030 - June 30, 2026
AWS Certified Machine Learning
January 11, 2030 - June 30, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Computers & Electronics