Headline

Machine learning Engineer III @CommerceIQ | Ex-Blend.to | Building AI photography and editing

About

Machine Learning Engineer with experience building and scaling production AI systems across GenAI, classical ML, computer vision, and large-scale data pipelines. I currently work at CommerceIQ, where I build ML and LLM-powered systems for e-commerce intelligence, including product understanding, taxonomy/tagging, brand extraction, recommendation workflows, and platform-level optimization. My work has focused on improving accuracy, reducing runtime, and driving infrastructure efficiency across high-scale pipelines. Previously, I worked on AI products spanning image generation, computer vision, and consumer-scale applications. I enjoy owning problems end-to-end — from experimentation and model development to evaluation, deployment, cost optimization, and production monitoring. Areas I work in: Applied Machine Learning GenAI and LLM workflows Computer Vision Recommendation and ranking systems MLOps and scalable ML infrastructure Python, PyTorch, Databricks, AWS, SageMaker I’m especially interested in building practical AI systems that are accurate, reliable, and cost-efficient in production.

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude

cursor

deepseek

claudecode

Work experience

Machine learning Engineer III at CommerceIQ, Jan 2026 - Present · 8 mos, On-site, Lead development of production-grade ML and GenAI systems for e-commerce intelligence across product understanding, recommendation, and insights workflows. Own high-impact initiatives spanning taxonomy/tagging, brand extraction, search-term understanding, and LLM-powered insight generation. Improve system efficiency and scalability through pipeline optimization, model evaluation, and storage/runtime cost reduction. Collaborate cross-functionally with product, platform, and business teams to ship ML solutions used in real customer-facing workflows.

Machine Learning Engineer II at CommerceIQ, Nov 2024 - Jan 2026 · 1 yr 3 mos, Bengaluru, Karnataka, India, Built and scaled ML pipelines for product tagging, brand extraction, title/keyword recommendation, and related commerce intelligence use cases. Improved large-scale data processing workflows across Databricks, SageMaker, and cloud-native ML infrastructure. Delivered optimizations that reduced runtime and infrastructure/storage costs across production pipelines. Contributed to evaluation frameworks, model quality benchmarking, and deployment workflows for applied ML systems.

Senior Machine Learning Engineer at Aragon.ai, Jul 2024 - Nov 2024 · 5 mos, Worked on applied computer vision and generative AI systems, including image generation and production ML workflows. Built and improved model pipelines involving diffusion-based systems, image processing, and visual quality enhancement. Contributed to rapid experimentation and deployment in a fast-moving product environment.

Machine Learning Engineer at Blend.to, Jul 2021 - Jul 2024 · 3 yrs 1 mo, Bangalore Urban, Karnataka, India, First ML Engineer of an app with more than 1Million downloads with 4.4 stars, Deployed Large AI models at scale used by more than 25k users, with more than 125k api calls a day Modified Stable diffusion to create studio ready backgrounds for e-Commerce products within seconds at scale delete.bg/aistudio Created an AI model to automatically remove background from foreground for multiple categories and does image matting to create detailed edges for segmentation from scratch.delete.bg Also worked on multilabel classifiers for classifying fashion objects in an image.

AI Intern at Coovum Smart Systems and Services Pvt Ltd, Jan 2021 - Apr 2021 · 4 mos, Chennai, Tamil Nadu, India, Extracted Relevant Features that would affect the Health of the Transformer and developed a Deep Learning model to predict the Health of the Transformer and hosted the model using Flask server. It was a team of two, where I designed the architecture of the AI model and predicted the health using relevant features

Freelance Researcher at Freelance, Jun 2019 - Jan 2022 · 2 yrs 8 mos, Chennai, Tamil Nadu, India, Developed new augmentation techniques for 3D object detection on Kitti and Nuscenes dataset and also making the existing data augmentations work on a 3D dataset Working with a team of four and helped with new augmentations and modifications on existing ones.

Education

Bachelor's degree, electronics and instrumentation engineering, Shanmugha Arts, Science, Technology and Research Academy