May 2024 – Apr 2025 · 11 mos

May 2023 – May 2024 · 1 yr

Feb 2020 – Apr 2023 · 3 yrs 2 mos · Greater Bengaluru Area

• Helped build a fintech brand Tripmoney that covers digital lending, insuretech and forex programs.

Mar 2019 – Mar 2020 · 1 yr · Bengaluru Area, India

• Helped build a loan book of $28M USD (Rs. 200 crores) while keeping the gross NPA down to 2%.
• Managed the entire tech and data science function while helping with digital marketing, customer acquisition, fundraising and M&A strategies

Jul 2018 – Feb 2019 · 7 mos · Bengaluru, Karnataka, India

• Primary responsibilities include leading the charter of Data and ML platform at Myntra.
• Conceptualised, designed and built an MVP version of a real-time ML/DL deployment framework that can allow models to auto-scale using Kubernetes and other tech stack.

Jun 2015 – Jun 2018 · 3 yrs · Bengaluru, Karnataka, India

• Built and led big data analytics and machine learning team(s) for Oracle IoT group.
• Helped architect, design and deliver IoT Analytics Platform (PaaS) on Oracle Cloud especially key components like Apache Spark drivers for Oracle data stores and Kafka, application monitoring capabilities and git-based metadata management for customer applications.
• Helped architect, design and deliver IoT Asset Monitoring SaaS application on Oracle Cloud
• Designed and delivered scalable AutoML engine as part of IoT cloud service that can automate a data scientist's job and deliver value to IoT customers without having to employ a data science team. AutoML engine supports forecasting, regression and classification algorithms as well as pattern and point-based anomaly detection. Statistical and ML algorithms used include ARIMA, Logistic and Linear regression, SAX, multi-variate KDE etc..
• As part of leadership team, helped in pre-sales, customer success and defining the charter and roadmap.

May 2014 – Jun 2015 · 1 yr 1 mo · Bengaluru, Karnataka, India

• Managed the Social Personalisation team in India by mentoring and leading other managers and engineers in India. Responsible for product planning and roadmap, people management, interfacing with legal team & external partners and getting buy-ins from Director/VPs on the long term vision.
• Led the unstructured data team as a Product Manager and Engineering Manager.
• Led a team of engineers and an ML scientist to build a record-matching system that would match Amazon customers to Social Network users with > 90% precision.
• Led a team of ML engineers to build a text mining system that would mine public social network activities to learn about user preferences, interests and trends and used the knowledge gathered to personalize the customer experience for Amazon customers on and off Amazon.

May 2008 – May 2014 · 6 yrs · Bengaluru, Karnataka, India

• Sole Founder responsible for building the product, marketing, sales, recruiting, P&L and running a bootstrapped cash-flow positive company for 6 years. Scaled the company to serve hundreds of paid customers and a few thousand users without using any form of paid marketing.
• Hands-on experience architecting and building a Social Media Marketing and Analytics SaaS product that can gather, clean, process and visualize terabytes of structured and semi-structured data in near real-time using Hadoop, Lucene, Zoie, Machine Learning, Data Mining and AWS.
• Responsible for all digital marketing including various growth hacking strategies which resulted in the startup getting covered by CNN, Wall Street Journal, Washington Post, Mashable, GigaOm, TechCrunch and ~2000 other major newspapers/blogs around the world.
• Built a SaaS product that has been rated one of the best in a number of third-party surveys in a very competitive market with 100+ vendors that includes a few 800 pound gorillas.
• Researched and implemented various UX strategies like MS Windows style step-by-step wizards, Dropbox style checklists, Eliza type chat bots and recommendation systems to simplify the workflow for technophobic audience of marketers and provide them instant gratification and guidance on signing-up.

Feb 2007 – Dec 2007 · 10 mos · San Francisco Bay Area

• Built a distributed web mining system that included designing and developing an information extraction system and sentiment analysis engine using SVM Classifier and Statistical NLP methods.
• Acquired by Attensity Group

Jan 2004 – Jan 2007 · 3 yrs · Washington DC-Baltimore Area

• Focused on Speech-to-Text Engine, Topic Modeling, Video Search Engine and Comcast's Next Generation Set-Top Box Search algorithms
• Acquired by Comcast

May 2000 – Nov 2001 · 1 yr 6 mos · Hyderabad, Telangana, India

• Built B2B and B2C marketplaces for clients