Dec 2023 – Dec 2024 · 1 yr

Mar 2020 – Dec 2024 · 4 yrs 9 mos · Gurugram, Haryana, India

• As the founder and CTO of Intents Mobi, creating technology and solutions that have not been implemented in the geospatial world. From the whiteboard to a company that gathers and processes more data than some of the biggest companies in the world, has thrown challenges each day and ensured that we continually innovate.
• 1. Size: Intents is the world’s largest incentivized community for gathering GIS data. With a million-strong community that contributes data of the order of 25 TBs of images per month, created systems that could process this data automatically with just 3 support team members.
• 2. Scale: The systems process close to 15 Billion APIs per month and hence it needed systems that were optimized enough to ensure that we did not burn a hole in our pockets in the infrastructure. Effective utilization of edge computing and alternate uses of technologies such as Redis(Client side caching) ensures that our cost of this data processing was less than $500 per month
• 3. Accuracy: At Intents, our entire value proposition is that our data is 100% accurate in terms of availability, accessibility, and accuracy. Managing all these three parameters for data that is gathered from a crowd; built a system for automatic error detections, corrections, and enhancement of the data that we gathered.
• Becoming one of the largest location data companies in India, in a span that is 1/10th of the time and money taken by some of the biggest in the industry is not easy. Each day, we set new benchmarks for ourselves in technology and try to beat them.

Nov 2019 – Dec 2024 · 5 yrs 1 mo · Gurugram, Haryana, India

• Helped comviva incubator YABX streamline real-time data ingest pipeline and reporting engine.

May 2019 – Jan 2020 · 8 mos · Gurgaon, India

• Implementing trading algorithms, and platform for personal finance management.

Apr 2019 – Mar 2020 · 11 mos · Greater Delhi Area

• Architecting, designing, and leading E2E engineers to create managed cloud computing products - Redis, Mysql, WordPress, Cloudwatch.

Sep 2018 – Jan 2019 · 4 mos · Gurugram, Haryana, India

• Worked along with founders to create an internal logistic incubator (Speedzi). Implemented internal and client tools.

Sep 2015 – Dec 2018 · 3 yrs 3 mos · Gurugram, Haryana, India

• Twigly was one of the first technology-enabled cloud kitchens in India, where it was not just the orders and delivery that were managed by technology, but the entire process of food creation as well. Right from managing the central kitchen where time-sensitive food material was prepared, to predictive analytics for expected orders each day was done through technology. The added learning as the CTO was an understanding of D2C and human behavior which has helped in my subsequent stints.

Jul 2014 – Jun 2015 · 11 mos · Bengaluru Area, India

• Involved in Feature Development and GPU optimizations (Client and Server) for Kiwi Games

Jan 2013 – Jun 2014 · 1 yr 5 mos

• Implemented platform-independent Graphics Runtime Power Management (RTPM) on Android, enabled it for Intel Platforms Baytrail/Cherrytrail
• Represented the Graphics team at power management camps held in Shanghai and Chandler
• Led a team to do resume time optimization and measurement tools; Reduced resume time by 60%

Sep 2010 – Dec 2012 · 2 yrs 3 mos

• Responsible for Graphics Runtime Power Management, P-State and graphics driver stability for Win8/8.1 on Clovertrail tablet
• Implemented tools to enforce and verify GPU burst feature, helped in feature enablement and validation.
• Trained Windows Graphics Core, 3D and Validation team on Windows Graphics RTPM

Sep 2009 – Sep 2010 · 1 yr

• Rotation Engineer is one of the Intel's Elite profile, where employee is given a chance to rotate between three different groups for a year ( four months each). During my rotation year worked on following projects.
• 1. Larrabee back-end for LLVM (CGDG)
• Developed LLVM compiler for LRB3 which supported more than 50% of LRB3 backend instructions. The compiled programs out performed the gcc on LRB3 CPUs.
• Improved instruction scheduling for LLVM by porting instruction scheduling algorithm from RISC architecture to X86 back-end
• 2. Haptic Library for Mobile platforms (UMG)
• Implemented a platform independent library which can play a .wav file to generate a haptic feedback
• 3. Cache River SDK for Windows and Linux OS (EST)
• Re-designed the existing logic for multi-threading and multi-server support for Cache River (Server product), user was able to do multiple queries simultaneously. Also implemented modularization for additional modules for Windows and Linux OS