About

I am an applied machine learning engineer passionate about building AI-driven products to solve real-world problems. My motto is “Applied AI should always be product-driven”.

Currently, I am working as a Senior Machine Learning Engineer at Jiffy, where I build image enhancement pipelines, deploy custom in-house and open-source ML models, and develop LLM/VLM applications across different verticals. My work also spans improving search and recommendation systems and designing automated prompt-optimization workflows.

Previously at Flixstock, I predominantly developed vision generative AI solutions, with a focus on building virtual try-on and background generation solutions emphasizing identity and pose control.

Unlike many in this field, my core background is not in computer science. My graduate and Ph.D. research experience is in computational geophysics, and I worked for Shell as a research geophysicist for about three years. I believe this diverse background helps me approach problems from unique perspectives.

I love connecting, chatting, and collaborating with new people. Whether you are a fellow professional, a new graduate, or someone interested in discussing AI-powered products, please do not hesitate to reach out.

You can also book a meeting with me using the Calendly link.

Professional Experience

Jiffy

Jan 2024 - Present

Senior Machine Learning Engineer

Building generative AI image pipelines, LLM/VLM applications, and evals across product verticals.

Flixstock

Aug 2022 - Dec 2024

Software Development Engineer III

Developed vision-based generative AI solutions for virtual try-on and background generation.

Shell

Oct 2019 - Jul 2022

Research Geophysicist

Focused on uncertainty quantification and denoising of subsurface seismic data.

TU Delft

Aug 2015 - Sep 2019

PhD Researcher

Worked on a new imaging approach, JMI-res, for high-resolution subsurface physical properties.