Machine Learning Engineer, Pixxel Space
Location: Bengaluru, India
June, 2022 - Present
Machine Learning Intern, Mad Street Den Inc
Location: Chennai, India
Jan, 2022 - June, 2022
Worked on optimizing and adding new features to the distributed workload orchestration platform.
Intern (Technical - Engineering), Synopsys Inc
Location: Mumbai, India.
May, 2021 - Jan, 2022
Designed novel ML-powered cloud-native tools to identify bottlenecks during chip manufacturing,processing over 100+ GB of data in realtime.
Rolling out the complete feature into production as an elegant, distributed software utilizing tools like Dask and Apache Spark with request-resolution time ~20% faster than legacy systems for large datasets.
Designing and building a pluggable Dask compute engine and a tool to manage Dask resources/Admin tasks/Scheduling for clean, extensible integration into the larger system.
Contributed to building the production CI/CD and deployment framework using tools like Jenkins, Kubernetes and Airflow.
Machine Learning Intern, OurEye.ai
Location: Bangalore, India
Oct, 2020 - Apr, 2021
Designed and implemented the production Machine Learning library from scratch.
Improved the end-to-end AI pipeline, resulting in ~30-40% higher system throughput and significant improvement in user experience leading to a ~25% increase in lead conversion.
PyVision: Built a toolbox of the latest computer vision algorithms, ready to use in 3 lines of code to reduce development time and allow for quick iteration.
Image2Sketch: Utilized Generative Adversarial Networks (GANs) to convert Selfies into artist sketches by training them on a custom dataset built specifically for the project. The video can be found here.
DenseDepth-PyTorch: Implemented the research paper to reproduce and verify the results of depth-estimation in 2D while modularizing the code following OOP principles for simpler usage.
AutoBlur: Designed a pipeline to to blur faces in videos automatically and improved it to handle the tricky edge cases. The key idea was to automate privacy protection in video clips.