Dec 2024 – Present · 1 yr 5 mos

Nov 2024 – Present · 1 yr 6 mos

Oct 2024 – Present · 1 yr 7 mos · San Francisco Bay Area · Hybrid

• Overseeing engineering team for AtoB from Growth to Customer experience to risk and Platform to security and infrastructure teams across multiple geos.

Nov 2021 – Oct 2024 · 2 yrs 11 mos

• Jan 2023 -
• Leading Lead generation platform and ads, Event ads, Ad targeting teams. Putting our members first by helping LinkedIn navigate the privacy landscape and regulations (CCPA, DMA, DSA, GDPR) through frontline innovations and first of its kind products. Help advertisers reach their target audience by enabling privacy centric targeting facets.
• Nov 2021 - Jan 2023:
• Leading Ads as a platform team with Internal promotions marketplace team and budget orchestrator platform teams. Manager lead for horizontal Ads productivity engineering.

Mar 2019 – Nov 2021 · 2 yrs 8 mos

• Talent Advertiser experience, LMS As a Platform and LMS Dev Productivity
• Talent Advertiser Experience:
• The team focuses on the B2T usecases and help employers to build talent brand awareness and reach, nurture and hire the best talent at scale through paid media experience.
• Talent Leads and Job Applicants Objective based advertising
• Talent Advertiser purchase lifecycle
• Dynamic Ads - Work with us, Job Ads, Jymbii, Traffic driver ads.
• Talent related targetting and legal use cases
• LMS As Platform:
• This team caters to the One product principle by building platform to expose LMS concepts such Pacing, forecasting and also platform for scaling prediction policy models.
• LMS Dev Productivity:
• Cross function working group which caters to developer productivity within the LMS org - Common gradle plugins, metric automation, metric enforcement, quantitative cultural recommendations.

May 2018 – Mar 2019 · 10 mos

• Talent Media, Dynamic Ads, and Ad-Rendering Platform. Connecting recruiters, talent brand managers with the members using flagship LinkedIn ad product - Talent Media. Changing the world contributing to the economic graph one line of code at a time.

Jan 2017 – May 2018 · 1 yr 4 mos · San Francisco Bay Area

• Tech Lead/Architect/Manager for the new Benefits Administration/BenConnect product.
• Was key architect/manager in delivering the Benefits Administration platform during SHIFT - a main event in the Insurance industry. Was key in enabling the historic Zenefits-OneDigital partnership from the technical standpoint. Represented the entire benefits team in the SHIFT cultural event!
• Was part of architecture/perf group and worked on various infra projects like Sandbox Environment, performance at scale projects (at one time, reduced the batch processing time of a mainstream job from 395 secs to 16secs)

Jun 2016 – Dec 2016 · 6 mos · San Francisco Bay Area

• Tech Lead for Admin Benefits Shopping Experience and internal Quoting Tool products.
• Helped Zenefits completely automate the traditional quoting data infra and revolutionized the way insurance industry does plan shopping during renewals. Spearheaded two of the critical products for Z2(The V2 of Zenefits) and delivered one of the robust solutions to efficiently store millions of plans a quarter and search them.
• The below products are first in kind in the entire Medical Insurance industry and Zenefits became the first company to provide you unimaginable ways(in a good way!!!) you choose your new plans - see the provider map example below.

Jul 2015 – Jun 2016 · 11 mos · San Francisco Bay Area

• Architected BoR(New client onboarding team) for hypergrowth, the business more than 3x year over year and at its peak, the BoR R&D team(I was managing) and BoR Implementation team were responsible for more than 30 million net new ARR growing at 3x YoY.
• Lead BoR Engineering during Series C. Employed state of the art technologies to import client data into Zenefits and at one point, the client just have to wait less than a minute to import their entire universe of data into Zenefits (The data is scattered with various sources, and some very orthodox sources like handwritten document).

Jul 2014 – Jul 2015 · 1 yr · San Francisco Bay Area

• Individual contributor and coder in benefits engineering. Joined as 13th engineer in Zenefits and 6th engineer in core Benefits engineering and built a lot of benefits products from infancy. Architectured the BoR benefits product and built them from sratch. Was one of the key contributors in engineering to drive valuation from 60Million to 500Million during SeriesB's time. Was working with multiple founders and co-founders during this time.

Oct 2013 – Jul 2014 · 9 mos · Palo Alto, California

• Tech lead for the Integral/MetaTrader4 bridge which powers hundreds of thousands of retail FX traders around the world.
• Built brand new meta trader 4 bridge from the scratch with inbuilt DLL, IPC, SSL and SSL Tunneling and auto-update feature - the first of its kind for MT4.

Jul 2010 – Oct 2013 · 3 yrs 3 mos · Hyderabad Area, India

• Real-time Financial Data Feeds Infra.
• Was in charge of various feed parsers and their infra. At that time, sitting at the epicenter of 10's of millions of dollars a trading day worth of automated trading system's data producer.
• Spearheaded the Reliance-DEShaw JointVenture from the Feed R&D engineering side, which was one of the historic landmark in the Indian Stock markets(First-time introduction of full-fledged state of the art auto bot trading with Indian Stock Markets).
• Applied various algorithms and core java techniques to achieve both scalability and performance for various software-infra projects. The volume of data feeds team deals with is in the order of 10s of terabytes and a few hundred million ticks every second.

Dec 2009 – May 2010 · 5 mos

• As a student intern, I developed a monitoring system for the custom file-based database. The database receives writes of the order of 100s of millions of ticks every second(during trading hours) and has to support the insane amount of read volumes for trading simulation post market hours. The Data DE Shaw deals with is of the volume of PetaBytes a day. Solely implemented the monitoring system with custom built caches for faster access. Done in pure Java and mxml(flex).