Jan 2024 – May 2025 · 1 yr 4 mos

• Took time off to tinker and experiment with multimodal models.

Aug 2021 – Jan 2024 · 2 yrs 5 mos · Seattle, Washington, United States

Jan 2021 – Aug 2021 · 7 mos · Seattle, Washington, United States

Jun 2019 – Jan 2021 · 1 yr 7 mos

• Worked on the Computer Vision team in the Ground Truth org

Aug 2017 – Jun 2019 · 1 yr 10 mos · Greater Seattle Area

• ● Designed and implemented an object tracking API using PyTorch. Collaborated with platform, front end and design teams to integrate the API into a product that can be used by annotators. The API helps in reducing annotation times significantly for video sequences.
• ● Implemented a dockerized API that does inference at test time on cloud GPUs. Setup the infrastructure to serve multiple models simultaneously using Tensorflow Serving.
• ● Designed and implemented a service that compares human annotation to model annotation and flags inconsistencies. This helps QA to look at the most egregious errors and understand systematic errors.
• ● Worked with the product team at Amazon to setup Mighty Blur(anonymization service) on Sagemaker marketplace.
• ● Designed and implemented a pipeline for training object detection models using Tensorflow. The pipeline is dockerized and is run on cloud GPUs using Kubernetes.

Jan 2016 – Aug 2017 · 1 yr 7 mos · Austin, Texas Area

• ●Trained a ResNet model for face recognition using Caffe. The model achieved an accuracy of 98.97% on the LFW dataset.
• ●Designed and implemented dockerized micro services to do face detection, face recognition and clustering.

Jun 2015 – Aug 2015 · 2 mos · Greater Salt Lake City Area

Dec 2014 – Dec 2015 · 1 yr · Greater Salt Lake City Area

• Automatic identification of the type of snowflake in images under Prof Tim Garrett.

Jan 2014 – May 2014 · 4 mos

• Course : ECE 2210, Electrical Engineering for Non-majors
• Conducting lab sessions.
• Grading assignments.
• Proctoring exams