Jun 2025 – Sep 2025 · 3 mos

• KredX is a leading supply chain finance and technology company enabling businesses to optimize working capital through innovative platforms. We operate DTX, our RBI-regulated TReDS platform, and GTX, our IFSCA-regulated ITFS platform, connecting financiers, buyers, and suppliers in a seamless and compliant ecosystem. By leveraging technology, we empower enterprises to unlock liquidity, strengthen supply chain resilience, and drive financial efficiency with transparency and trust.

Jul 2017 – Jul 2025 · 8 yrs

• KredX is a Bengaluru-based fintech company providing SaaS and technology solutions to help SMBs and large enterprises with managing AP, AR and working capital. We are a multi-disciplinary team of engineers, designers, data scientists and product people to use technology to make the supply chain finnace and finops space efficient, effective and compliant.

Jan 2016 – Jun 2017 · 1 yr 5 mos

• KredX (formerly Mandii) is an invoice discounting marketplace in India.
• We are a small team building technologies to make access to working capital easy and efficient for SMEs, and offer investors a more lucrative financial asset to invest in.

Mar 2025 – Oct 2025 · 7 mos

Oct 2015 – Jan 2016 · 3 mos · India

• On Sabbatical in India- traveling across the country, talking to interesting folks and exploring opportunities in solving important problems using technology.

Feb 2011 – Oct 2015 · 4 yrs 8 mos · Redwood Shores,CA

• Oracle’s Exadata is widely recognized for its high performance, speed, and scalability. I contributed to core infrastructure projects focused on optimizing Exadata servers for extreme workloads—driving improvements in system performance, fault tolerance, and scalability at enterprise scale. I also helped design and implement foundational components for a major next-generation Exadata initiative, enabling higher efficiency and reliability across large-scale deployments.

Jun 2010 – Feb 2011 · 8 mos · San Francisco Bay Area

• Developed predictive analytics and optimization models to enhance sales and marketing effectiveness for Fortune 50 clients. Leveraged client data in combination with third-party datasets to uncover high-value sales opportunities and generate actionable insights, enabling data-driven sales plays with supporting intelligence.

Sep 2009 – Jul 2010 · 10 mos · Stanford University

• Develop predictive models for future energy trends under different policy scenarios.

Jan 2008 – Jun 2008 · 5 mos · Greater Bengaluru Area

• Determined the reliability and operability of the latest hardware and software builds for multimedia communication over optical networks. Wrote scripts to automatically test functionalites and identify problems.

May 2005 – Jul 2005 · 2 mos · Goa, India

• Worked in the R&D unit to develop a prototype of a device to automatically identify/fix problems in a router. Analyzed the assembly process and suggested a faster way to do the process overcoming bottlenecks and improving yield.