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
Jiffy
Senior Machine Learning Engineer
- Building generative AI image pipelines, LLM/VLM applications and relevant evals for different verticals.
Flixstock
Software Development Engineer III
- Developed vision-based Generative-AI solutions for Virtual Try-On and Background Generation.
Shell
Research Geophysicist
- Focused on uncertainty quantification and denoising of subsurface seismic data.
TU Delft
PhD Researcher
- Worked on a new imaging approach, JMI-res, for high-resolution subsurface physical properties.