CredCore modernizes debt management using technology. We help asset managers and enterprises intelligently manage their credit stack and capital deployment.

Active with various portfolios and investment committees.

Reliance Jio is the world's largest mobile phone network, founded by Reliance Industries Limited, India’s largest private sector company and a Fortune 100 enterprise. Jio Financial Services, a part of Jio, is a payment bank and network that makes everyday banking and payments easy, digital and on mobile. It is a combination of a payment bank, online wallet and a offline merchant network. At its end state, it aims to be the largest payment network in the world.As a part of its Leadership team that handles Payments Bank, Mobile Wallet product, Couponing, Advertising, and Real-time consumer engagement. (called Network Businesses), I am responsible for the following:Couponing and advertising business - Connecting FMCG brands with millions of customers and store owners by creating new technology platform that is monetizable from get-go.Mobile Wallet Product - The design and development of a world-class Mobile Wallet for a multi-device and high-latency-network Indian markets.Analytics - Building data-related businesses around transaction intelligence to benefit both the merchants and FMCG brands.Digital Labs - Building a valley-quality research-intensive team out of Bangalore to innovate in payment space. Travel and Transit - A full-stack travel (hotels, bus, train and flight) business that is built to leverage Jio's country-wide 4G and Fiber network.

Co-Founder and CEO of Styloot.com – Styloot is a design-based search engine. Currently search engines are either text-based or image-based. The technology we have developed (US patent pending), applies to some of the biggest online commerce verticals including apparel, home accessories, and automobiles.The initial focus is on the largest and fastest growing category in e-commerce – women's fashion (projected US$ 73bn 2016). We built commercial relationships to include 4000+ leading brands (over 1.3 Million items) making us one of the largest of catalogs of this kind. Women’s Wear Daily (WWD), the leading fashion daily, covered this aspect of the business.Applied and built Machine Learning technologies to: automatically categorize a live feed of items, automatically extract features (type of heel, type of sleeve, etc), keep the catalog updated – all with very little or no human intervention.Built teams across Geographies (USA and India). Recruited a top-notch technology team (ex-Google Yahoo and Microsoft Engineers). Leveraged a very small team (12-15) to produce a high-value product using open-source technology stack and Amazon cloud computers. Our tech team developed open sourced software that speeds up access to Hadoop Database (e.g In-memory indexing). Styloot technology’s discovery engine powered the online-themed-shopping site for NBC-Bravo, one of the first such implementations of tight content-commerce marriage. This was cited by Apple as an innovative use of Social Tv.Styloot’s machine learning technology (based on a combination of Bayesian Networks and Structured Probabilistic Models) powered the world’s largest marketplace to provide structured search and discovery increasing visibility of their inventory using our machine learning technologies. Was able to achieve an automatic categorization with an accuracy of greater than 85%. Our discovery engine was able to surface similar items, enhancing search and discovery.

+ One of the first hires in High Frequency trading inside Equities Derivatives. + Worked with NYSE and NASDAQ to place part of our Algorithmic strategies on site to reduce latency.+ Ideated, learnt and built the trading environment from scratch - Strategies and associated low-latency high performance clusters focused on high volume and high throughput automated trading.+ Spotted, recruited and nurtured an A-team (Tech / Math / Stat professionals)+ Significant contributions to P&L (Under NDA)+ Spoke at industry forums covering Low Latency computing and Risk as it pertains to high-volume automated trading.

+ Worked in leadership positions at what was one of the largest ECNs in the world.+ Designed and built new products and platforms - notably the new trading platform, new liquidity networks, peer-IPO platforms.+ Led the team to migrate core tech to Linux and other open source platforms, saving 30% in product realization and distribution cost + Built teams from scratch and nurtured them.+ Worked in NYC and London.+ In 2002, was awarded the 'Employee of the Year' across the Reuters* corporation for P&L contributions. (*Instinet was part of Reuters at that time.)

+ Responsible for the team tasked to build highly available large scale clusters (200+ servers). + Worked on Core networking and disk lock mechanisms.

+ Designed, procured and deployed hardware and networking components (both traditional and satellite) for anywhere-banking systems.+ Transitioned 70% of the banking operations into automated banking.+ Led a 15-member team to design and implement Shared ATM Network, one of the first in the country.+ Worked out a country-wide roll out and maintenance plan for deployment in urban and rural branches.

Customer-facing Pre-sales, Tech-Sales, Hardware and Software Support. Days of 10MB hard disks and 5.25 inch floppies.