Jul 2023 – Nov 2024 · 1 yr 4 mos · Seattle, Washington, United States · On-site

• Managed customer-intent-science team under Amazon personalization org, dedicated to enhancing the understanding of Amazon’s customers’ intentions and delivering tailored shopping recommendations via Keep-Shopping for.

Jun 2020 – Jan 2023 · 2 yrs 7 mos

• Managed NLP Signal team, to empower product teams at Twitter to understand textual content of Tweets and their anatomy for better conversations, relevance, and monetization through cutting edge ML/NLP technology. Created and maintained, and grew an inclusive high performing team. Involved in hiring internal and external candidates, including very senior IC/EMs. Led several ML projects and cross-functional collaborations resulting in business impacts, such as

May 2017 – Jun 2020 · 3 yrs 1 mo

• Senior Machine Learning Engineer and Tech Lead of Content Understanding and Applied Deep learning (CUAD) team at Twitter: Established bi-weekly Sprint planning, Led a cross-organization effort to make user aggregated engagement with named entity compliant, Designed a semi-complex system to annotate and extract named entities in Tweet Articles, Collaborated with Revenue Team on adopting content signals in Ads prediction, Researched, designed, and evaluated an entity resolution system (DeepWikid)

Jun 2016 – Sep 2016 · 3 mos · San Francisco Bay Area

• Researched and implemented co-embedding of tweets and Wikipedia entities to learn feature representations and semantic embedding of tweets.

Jan 2016 – Jun 2016 · 5 mos · Greater Denver Area

• Developing a social assitive robot (Ryan) and intelligent perceptive computer algorithms that are used for affective computing, human behavior recognition, facial emotion/expression recognition with applications in socially assistive robotics and virtual human toolkits. Helped CEO to write SBIR grant followed by NSF Innovation Corps

Jun 2015 – Sep 2015 · 3 mos · MTV

• Worked in Knowledge group on video semantic segmentation using Deep Neural Network (Google Brain) as a research intern

Jan 2013 – May 2017 · 4 yrs 4 mos · Greater Denver Area

• Investigated deep networks for expression recognition in wild and medical image processing. Created Affectnet: A database for facial expression, valence, and arousal computing in the wild. Researched, designed and created a portable robotic head (Ryan). Entrepreneurial Leader of a team selected for NSF Innovation Corps

Jan 2010 – Jan 2013 · 3 yrs

• Built phylogenetic trees using GPU techniques for clustering large data. Implemented a novel algorithm and software to count anopheles eggs with an accuracy of 92\%.

Jan 2006 – Jan 2007 · 1 yr

• Working full time as software project manager

Jan 2004 – Jan 2006 · 2 yrs

• Working part time in software developing team as software analyst, designer and developer.