Sasi Kiran Yelamarthi

Software Engineer

San Jose, California, United States6 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Stackforce AI infers this person is a Computer Vision and Machine Learning specialist with experience in SaaS.

Computer VisionDeep Learning

AlgorithmsCC++Data StructuresHTMLJavaJavaScriptKerasLIDAR Data AugmentationMachine LearningMatlabNumPyPoint Cloud ProcessingProgrammingPython

4 roles

Promoted

Jan 2025 – Present · 1 yr 2 mos · Santa Clara, California, United States

Promoted

Jul 2023 – Dec 2024 · 1 yr 5 mos · Santa Clara, California, United States

Jul 2020 – Jun 2023 · 2 yrs 11 mos · Santa Clara, California, United States

May 2019 – Aug 2019 · 3 mos · Cupertino, California

Worked closely with the perception team in developing point cloud processing models. Developed deep learning models for semantic segmentation of ground, lane-mark and moving objects on data from California roads. Also worked on developing a minimal simulator for generating and augmenting LIDAR data.

Computer VisionDeep LearningSemantic SegmentationPoint Cloud ProcessingLIDAR Data Augmentation

Jun 2017 – May 2018 · 11 mos · Chennai Area, India

Worked on sketch-based image retrieval (SBIR) with Prof Anurag Mittal in the Computer Vision Lab. Our work on the zero-shot setting of SBIR got accepted at ECCV 2018.
Paper: http://openaccess.thecvf.com/content_ECCV_2018/papers/Sasikiran_Yelamarthi_A_Zero-Shot_Framework_ECCV_2018_paper.pdf

Jun 2016 – Aug 2016 · 2 mos · Hyderabad Area, India

Worked in Financial Intelligence and Professional Services (FIPS) team at Microsoft, India and had a return offer. Additionally, I also participated in the India Data Sciences competition conducted by Microsoft and secured runner-up position among the 100+ teams of Microsoft employees at Hyderabad.

Mar 2015 – Jul 2015 · 4 mos · United States

My Ally (Skedool.it) is a startup that focuses on smart scheduling using a smart personal assistant built using Artificial Intelligence and Natural language processing. As a part of the internship, I worked on developing modules for the integration of their personal assistant with Microsoft Outlook and Salesforce.