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/agents, 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 isn’t 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 3 years. I believe this diverse background helps me approach problems from unique perspectives.

I love connecting, chatting, and collaborating with new people. Whether you’re a fellow professional, a new graduate, or someone interested in discussing AI-powered products, please don’t hesitate to reach out! 😊

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

Professional Experience

Jan 2024 - Ongoing

Jiffy

Senior Machine Learning Engineer

  • Building generative AI image pipelines, LLM/VLM applications and relevant evals for different verticals.
Aug 2022 - Dec 2024

Flixstock

Software Development Engineer III

  • Developed vision-based Generative-AI solutions for Virtual Try-On and Background Generation.
Oct 2019 - July 2022

Shell

Research Geophysicist

  • Focused on uncertainty quantification and denoising of subsurface seismic data.
Aug 2015 - Sep 2019

TU Delft

PhD Researcher

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