Apr 2021 – May 2021 · 1 mo · Bengaluru, Karnataka, India

Jan 2018 – Apr 2021 · 3 yrs 3 mos · Bangalore

Dec 2015 – Dec 2017 · 2 yrs · Bangalore

• Grow is a preventive healthcare startup that aims to make the best nutritional coaching , balanced diets available at the dispense of Indian masses. Anyone can avail the expertise of the best nutritionists at a click on their mobile devices. A team of doctor, nutritionists and dieticians is instantly on-boarded to provide nutritional consultation, advice on lifestyle habits to stay free of diseases, recipes that go well with daily routine.
• Grow adapts a DIFM model that lifts of the burden from the customer to constantly nag themselves about being on a strict diet and the wholesome coaching along with the research backed meal plans and meal kits make it very easy for the user to stick on a fitness regime.

Jan 2015 – Dec 2015 · 11 mos · Bengaluru Area, India

• Drink King is a health-focused beverage enterprise established with aim of providing highly nutritious beverages that taste equally as good. With our team of nutrition and food & beverage experts, we offer a wide range of products that cater to different needs of people. Drink King beverages can be ordered via web and Android app.
• We recently got acquired :)
• https://inc42.com/flash-feed/grow-fit-drink-king-acquisition/
• Website: https://www.drinkking.club
• Play Store: bit.ly/drinkking

Nov 2014 – Dec 2016 · 2 yrs 1 mo · Bengaluru Area, India

• This initiative aims to create a Google Map – like interface to track the number and location of dirty sites and garbage dumps across the city. Information is collected through the method of crowd-sourcing using a mobile phone application on Android, allowing multiple people to collect information at the same time. Collecting the information is as simple as taking a photograph through one’s smart phone tagging the location, providing the contributors name and sending the data to the BBMP or the relevant local authority. The application allows for collecting information on not just dirty sites but also pot holes, authorized and unauthorized dumping sites and other impediments creating a public nuisance.
• A platform with a map view provides a comprehensive view with red depicting dirty sites and green depicting clean. The map-like platform makes the application interactive and provide views of a locality, city, state or country, enabling active citizens to also pitch in and track progress of clean up initiatives. The initiative envisions that these features enable volunteers to organize public clean up drives and activism in local areas. Success can also be celebrated with a before-after photograph of the dirty area.
• Once the initiative spreads, the Application will also be able to rank cities on cleanliness on the basis of green (clean areas) and red (dirty areas) credits and allow city authorities to commit to cleaning up localities on the basis of converting red credits to green.
• The initiative makes provisions for organizing public events as well as popularizing the mission among the youth through social media and provides milestones in terms of number of dirty sites that will be marked.
• Website: www.swachhmap.com
• Play Store Link: bit.ly/swachhmap
• Apple App Store Link: bit.ly/swachhmap-ios

Sep 2013 – Aug 2015 · 1 yr 11 mos · Bengaluru Area, India

Jun 2013 – Aug 2013 · 2 mos · Greater Los Angeles Area

• As a part of the summer internship program, RIPS (Research in Industrial Projects for Students) hosted at UCLA Institute for Pure and Applied Mathematics (IPAM), I worked on a mathematical problem given by industrial sponsor, Google Inc. in team of 4.
• The goal was to devise new efficient and fast algorithms to compare similarity between any two topics extracted after Latent Dirichlet Allocation (statistical model to extract topics) (LDA). Two sub-problems were:
• 1) Intra-language topic similarity: Created two new and innovative algorithms: SARAL and topo-SARAL which compares two topics in a language model based on semantics.
• 2) Inter-language topic similarity: Designed an algorithm, inter-SARAL which compares two topics in two different languages.
• Used MALLET as open source tool for generating topics based on LDA and Wikipedia English & French articles as data source for testing the algorithms.

May 2011 – Jul 2011 · 2 mos · Bengaluru Area, India

• Project Title 1: Optimization of Lighting Energy in Offices
• a) Developed and implemented an optimization algorithm for lighting energy in shared office spaces
• b) Daylight harvesting is used for energy savings; occupants comfort is prioritized in algorithm
• c) Achieved 90% reduction in daytime lighting energy consumption
• Project Title 2: Wireless Water Meter
• a) Designed and fabricated a smart water meter that logs water consumption through a tap
• b) Data is transmitted wirelessly to a central unit for processing, using Zigbee radios, in real time