Oct 2022 – Present · 3 yrs 6 mos · San Francisco

• At Cognit, we are attempting to build a frontier AI model from ground-up, for simulating the Gene Regulatory Networks of eukaryotes that operates across different cell types and species. The goal is to enable high-resolution functional genomics and simulate biological cells in-silico. We incorporate closed-loop, in-silico gene and cell engineering and redefining paradigms in genomics research.
• We are in our research phase. Simulating an entire GRN is extremely hard to do and we have long ways to go. There is quite some hype around this domain where people have claimed early victory as well. We are not there yet.

Oct 2019 – Present · 6 yrs 6 mos · San Francisco Bay Area

• Part of the global on deck community. Started as ODF2 (Cohort 2) in SF.
• Paying it forward, helping startups to accelerate to their full potential.

Aug 2019 – Present · 6 yrs 8 mos · San Francisco Bay Area

• (Chair on the board since Oct 2022, not active in day-to-day operations)
• At Kena, I helped build the largest music genome library and the transcription and translation AI engines that aid in autonomous tutoring for creators and accelerated learning for students.
• Deciphering the genetic code of Music.
• Building machines that understand the compositional architecture of Music.
• Built the Music Neural Engine, Semantic Sound Analysis, and Transcription Engines

Apr 2018 – Jul 2019 · 1 yr 3 mos · San Francisco Bay Area

• I led the Artificial Intelligence engineering group and vision for AI @Course Hero. The key objective of the group was to build the semantic knowledge graph at Course Hero in order to help personalize bespoke learning experiences for students and help educators create unique course content.
• My Charter:
• Set the overall vision, strategy, planning and execution charter for AI Group. Accountable for Technology, Research, Engineering, Programs, and Outcomes.
• Lead the charter for 5 teams under the AI Group - Applied Machine Learning, Semantic Search AI-Research, AI-Platform, and Analytics.
• Enable key leaders within AI Group to run their orgs autonomously and establish accountability for goals and programs.
• End to end responsibility on building Machine Learning and Artificial Intelligence capability including engineering, platforms, and research to enable Semantic and Narrative Intelligence around educational content.
• Build and operationalize a semantic knowledge graph to enable intelligence to autonomously tailor bespoke learning experiences personalized to student's learning style and skills.
• Build graph intelligence to help educators create unique content.
• Build a research team and practices to contribute to the area of NLP/NLU, Semantic Knowledge Graph and Demand Intelligence across all educational disciplines.
• Institutionalize and implement AI practices across engineering and product organizations.
• Hire and mentor senior leaders, ML and Platform Engineers, Researchers at all levels.
• Own and execute acquisitions and partnership pipeline.
• Own and execute the Scientific Advisory Group charter.
• Own and execute Patent Programs.
• AI Group external branding, thought-leadership papers, and event/speakership participation.

Jan 2016 – Feb 2018 · 2 yrs 1 mo

• Overall responsibility to increase revenue baselines for Brand, Performance and Commerce business through yield management, response prediction, recommendation, bid and pricing management.
• Establish Deep Learning and Data Pipelines to manage daily inflow of 6B+ ad requests, 2 terabytes of textual data, and 15K images (Overall 2Million active images) daily across geography.
• Hands on coding of all Deep learning models on Keras/Tensorflow/Python/Scikit-learn.
• Vision computing using Convolutional Neural Nets and Hybrid Prediction models for Image based forecasting and response predictions for large scale data.
• Audience cohorts, look-alike modeling, brand affinity and location based indexing for highly sparse and dynamic data clusters.
• Statistical Models for large data-sets with significantly higher class imbalance (98%) and large overlaps (40%)
• Increased Brand conversion rates 3 folds through engagement based optimization techniques and location based dynamic cohorts.
• Build Deep Learning regression and classification models for performance business beating online models by 60%.
• Improve 35% ROI on average for 1500 top global advertisers monthly through match-making algorithms.
• Increased Commerce marketplace efficiency significantly by improving Commerce recommendation engines and bid management.
• Create new revenue line through improved Commerce marketplace contributing to 10% of overall revenue through bid and portfolio management and improvement in recommendations.
• Disseminate Machine Learning and Deep Learning knowledge across Data Science and Engineering orgs scaling workforce efficiency.

Feb 2012 – Jan 2016 · 3 yrs 11 mos

• Dual role of Product Sciences and Tech
• Hired and trained for global product and platform build out.
• Hands on with Brand Sciences and Optimization Algorithms.
• Built Commerce Discovery Engine technology from ground up as an internal start-up.
• Hands-on with commerce recommendation engine algorithms.
• Built Brand-mobile-advertising platform from ground up scaling it to a multi-million dollar business in 4 years; Improved revenues in Brand and Commerce product lines making up 40% of multi-million dollar book value.
• Influencer of 60+ senior resources as a matrix globally.
• Ideate, develop and adopt 5 brand products and 3 commerce products with 10-15 releases annually for global markets for fortune 100 companies in the mobile advertising space.
• Influenced operational budget of 15% of overall budget combined in Brand and Commerce; Managed day to day operations on platform and technology innovations, data sciences, and product marketing/sales enablement.
• Built next generation mobile commerce platform focused for North America markets increasing market caps by creating 10% of overall revenue.
• InMobi Spartan Award winner for most innovative and strategic product platform - Brand, episodic learning platform.

Apr 2009 – Feb 2012 · 2 yrs 10 mos · Bengaluru Area, India

• Chief Data Scientist; Hands-on with core location-based machine learning and search engine algorithms and data-sciences.
• Product and Platform owner.
• 2011 IBM Smarter Planet Innovation Award winner for smarter retail.
• 2011 Qualcomm Qprize Award.
• 2011 Red herring Asia Top 100 Finalist.
• Hired and mentored product and platform leaders.
• Built the technology stack for a hyperlocal recommendation from ground-up.
• Help assess the market potential for the solution to establish a new market category in India; Built 3 iterations for RFID based solution to validate proximity marketing, Bluetooth solution to overcome fiscal constraints, and cell tower trilateration enabling location sensing on non-GPS phones and hyperlocal search.
• Tracked 2million daily foot falls across 6500 retail locations tagged and active since September 2010.
• Branded and prospected vision of early adopters; Handled investor relations and fundraising.
• Ideate, incubate, validate and execute the retail demand chain solutions for offline retail from scratch; Cloud provisioning model for campaign management, product catalog, enterprise and store management.

Oct 2007 – Apr 2009 · 1 yr 6 mos · Bengaluru Area, India

• Enabled a Retail COE for the largest multi-format retail in India.

May 2005 – Oct 2007 · 2 yrs 5 mos · San Francisco Bay Area

• NewScale got acquired by Cisco.

Apr 2004 – May 2005 · 1 yr 1 mo · San Francisco Bay Area

• Centra got acquired by Lontra

Mar 2003 – Apr 2004 · 1 yr 1 mo

Nov 1998 – Feb 2003 · 4 yrs 3 mos · Greater Atlanta Area

• InterConnect Network Systems [Feb 2000 - Nov 2003]
• InterConnect / ConceptUniv [Nov 1998-Feb 2000]

Dec 1996 – Oct 1998 · 1 yr 10 mos · Bengaluru Area, India

Sep 1993 – Dec 1996 · 3 yrs 3 mos · Bengaluru Area, India