Full-Stack AI/ML Engineer | Turning complex data into scalable AI solutions | From Data Pipelines to Production Models

I’m a Full-Stack AI/ML Engineer with 12+ years of experience designing, building, and deploying intelligent systems across healthcare, finance, and gaming. My career has taken me from building scalable ETL pipelines as a Data Engineer, to creating predictive analytics as a Data Scientist, to leading teams of ML Engineers at enterprise scale.

I specialize in developing end-to-end solutions—transforming raw data into real business value. That means architecting robust data pipelines, training advanced deep learning and NLP models, and deploying them into production environments with full MLOps best practices. My expertise covers everything from recommendation systems and real-time anomaly detection to Generative AI (LLMs, RAG, Transformers, diffusion models).

I’ve worked with top companies like CVS Health and Electronic Arts, where I designed systems that:
✦ Summarized patient records with LLMs, helping doctors make faster decisions.
✦ Built real-time anomaly detection pipelines to keep global game servers running smoothly.
✦ Engineered hybrid recommendation engines that boosted user engagement and revenue.

I’m equally comfortable mentoring teams, defining technical strategy, or rolling up my sleeves to debug a distributed training job. What drives me is bridging AI research with real-world applications—always with a focus on measurable outcomes, transparency, and scalability.

Outside of work, I enjoy staying on the cutting edge of AI trends, experimenting with new frameworks, and contributing to open-source projects.

If you’re looking for someone who can not only build powerful AI systems but also ensure they deliver business impact, I’d love to collaborate.

Work Terms

✦ Availability: Flexible, typically 20–30 hrs/week, with the ability to scale up for high-priority projects. I work across US and international time zones.
✦ Responsive via Upwork messages or project management tools like Slack and Trello. I believe in clear, proactive updates and collaborative iteration. Weekly or bi-weekly check-ins recommended.
✦ Payment Terms: Hourly or milestone-based depending on project needs. Transparent reporting on hours and deliverables.
✦ Workflow & Tools: GitHub/GitLab for code collaboration, JIRA/Trello for task tracking, CI/CD pipelines for automation. Comfortable working in AWS, GCP, Azure.
✦ Approach: I take a consultative style - understanding your business goals first, then tailoring AI/ML solutions that deliver measurable impact.

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