Mar 2019 – Dec 2025 · 6 yrs 9 mos · Greater Bengaluru Area

• In my spare time, I have been volunteering at iSpirt - a technology policy organization to help with certain aspects of the National Health Stack. I realized technology was what I understood best and iSpirt was a place where I could bring together my passion for technology and helping build nation scale infrastructure that could genuinely help people on something very fundamental.

Feb 2019 – Present · 7 yrs 1 mo · New York, Bangalore · On-site

• Spearheaded the strategic direction and execution of go-to-market initiatives, enhancing product visibility and market penetration.
• Developed and implemented comprehensive product and tech roadmaps, aligning with our AI vision to drive innovation.
• Fostered a culture of AI adoption within the organization, resulting in increased operational efficiency and team engagement.

Dec 2018 – Present · 7 yrs 3 mos · Bangalore, India

• I have an Adjunct faculty role at IISc my alma mater. I am currently advising/collaborating on a couple of exciting projects:
• (i) Understanding and characterising latency versus redundancy trade-offs in distributed systems.
• (ii) Understanding how to communicate with robots in natural language so certain tasks can be accomplished.

Nov 2016 – Feb 2019 · 2 yrs 3 mos · Bengaluru, Karnataka, India

• Led a team responsible for enhancing Target's search capabilities and search conversion rates. Our search technology resulted in a significant increase in search revenue.

Oct 2013 – Nov 2016 · 3 yrs 1 mo

• Zettata built advanced NLP based search engine algorithms to significantly improve site conversion metrics for several large retailers across the world. Our algorithms resulted in lift in revenue per search for large retailers by 10-30%.
• Zettata was acquired by Target in November 2016

Apr 2011 – Oct 2013 · 2 yrs 6 mos

• Built a strong research team, and worked on network function virtualization, specifically focussed on virtualizing cellular base station signal processing. Virtualizing Physical layer processing is one of the hardest challenges since it is significantly compute heavy (specifically processes like turbo decoding) and has real time constraints (3ms in LTE). We designed virtualization and scheduling mechanisms to do share processing. We prototyped our system and demonstrated the feasibility on general purpose hardware.

Jan 2010 – Aug 2011 · 1 yr 7 mos

• Conceptualized and executed cutting edge research projects on next generation wireless network systems with colleagues. In particular on designing wireless networks over TV whitespaces. Television spectrum occupies the lower frequency ranges which have great propagation characteristics and is hence very valuable real estate for spectrum. However this end of the spectrum is not available uniformly and depends on the channel occupied in specific regions. We designed protocols and mechanisms to ensure that this rich real estate could be occupied with WiFi like protocols and designed intellgient spectrum sharing algorithms. Published some good papers, and prototypes. A great article in IEEE Spectrum summarizing our work:
• https://spectrum.ieee.org/telecom/wireless/tv-whitespace-networks-get-smart

Dec 2007 – Dec 2009 · 2 yrs

• Worked on designing and building low cost road traffic sensing solutions (early IoT). Found that traffic sensing solutions were expensive (order of $50K a mile then), expensive to lay and maintain.
• Designed a low cost (under $500 a mile) solution based on Bluetooth sensing which could be used to monitor and manage traffic in urban scenarios, amenable especially for countries like India. Transferred it to the ITS vertical as a product.

Jan 2003 – Jan 2007 · 4 yrs

• Started a variety of research projects on next generation wireless networking and applications:
• (i) Worked on Mobile robotic sensor networks, using robots and sensing to help with scenarios like disaster recovery.
• (ii) Worked on an early IoT project to help with search in the physical world, using a combination of sensor and search technology to find things instead of data.
• (iii) Worked on PeopleNet, showed random interactions with natural mobility of people could be used to communicate messages over large distances. We showed that this technology could also be used to build contact tracing applications in pandemic situations. Built one of the first bluetooth based phone contact tracing applications in 2004 during SARS.
• Advised 3 fantastic PhD students, and several undergrad and Master's students.