Nov 2023 – May 2024 · 6 mos · San Francisco Bay Area · On-site

• Led development of AI-enabled scientific workflow platforms, enabling researchers to run reproducible, end-to-end data pipelines at scale. Focused on system design across data ingestion, orchestration, and compute, integrating tools like Nextflow and Snakemake to turn complex analysis into usable, production-ready workflows.

Jul 2023 – Present · 2 yrs 9 mos

• I lead technology, data, and AI strategy across product development and platform execution.
• Key responsibilities and impact:
• Defined and executed end-to-end data and AI strategy, from foundational data architecture to production AI systems.
• Built and led cross-functional teams across engineering, data, and product, scaling from early prototypes to customer-facing platforms.
• Designed and deployed machine learning and AI-powered features, including predictive analytics and LLM-based workflows.
• Owned cloud architecture, data pipelines, and MLOps practices to ensure reliability, security, and scalability.
• Partnered with founders, executives, and customers to translate business needs into technical roadmaps and shipped outcomes.
• Established engineering and data best practices including governance, observability, and operational excellence.

Apr 2023 – Present · 3 yrs

• Active angel investor and hands-on advisor to early-stage founders building AI-first and data-driven products.
• Focus areas:
• Artificial Intelligence and Machine Learning platforms
• Generative AI, LLM-powered applications, and AI agents
• Data infrastructure, analytics, and decision systems
• Healthcare technology and applied AI in regulated environments
• Education technology and AI-enabled learning platforms
• Developer tools and workflow automation
• How I engage:
• Partner with founders on AI and data strategy, not just capital
• Advise on product-market fit, technical architecture, and execution sequencing
• Help teams move from proof-of-concept to production-grade AI systems
• Provide perspective shaped by operating experience as a CTO and product leader

May 2021 – Jul 2023 · 2 yrs 2 mos

• Owned technology execution across engineering, data, and platform architecture for a growing organization.
• Key contributions:
• Led the development of scalable data platforms and analytics systems supporting business intelligence and operational decision-making.
• Introduced AI and automation capabilities to improve efficiency, forecasting, and customer experience.
• Managed senior engineers and technical leads, setting standards for architecture, delivery, and team health.
• Collaborated with business stakeholders to prioritize initiatives and align technology investments with company goals.
• Oversaw cloud infrastructure, security practices, and system reliability in production environments.
• AI & Data Focus
• Machine Learning and Predictive Analytics
• Generative AI and LLM Integration
• Data Platform Architecture and Governance
• Cloud-native AI Systems and MLOps
• Executive and Cross-Functional Leadership

Jul 2019 – Apr 2021 · 1 yr 9 mos · New York City Metropolitan Area · Hybrid

• Led cloud-based analytics platforms serving regulated life sciences customers
• Strengthened reliability, security, and auditability while scaling data and analytics workloads
• Improved product and engineering alignment through clearer architectural ownership and delivery standards

Jul 2016 – Jul 2019 · 3 yrs

• We build chatbots, Dash buttons and website widgets for direct bookings, online ordering and guest experience management. Using our chatbots, a hotel can enable a guest to order a towel, room service, make a spa booking, leave review, do an online checkin or payment and connect with staff using existing messaging apps like facebook messenger, whatsapp, skype or slack. Based on user conversations, we personalize the experience for the user and enable quick actions(sort of Amazon Dash buttons). One of our customers uses our chatbot for online check-in allowing guests to upload passport, validate the documents and the guest can collect the key without spending time waiting in the line. Another customer uses the chatbot to send personalised offers for customer acquisition through referral and viral sharing. One of our customers uses the HeyMojo Dash button to increase repeat orders and daily picks. We are creating these seamless experiences using NLP and Image recognition, customer profiling and creating marketing tools on messaging and voice platforms.
• HeyMojo aims to be the world's largest AI powered chatbot technology provider for global hospitality industry. In 10 years, we aim to be the voice/chat/message that a customer uses to communicate with their favourite restaurant, hotel or business from their phone, or voice enabled device. We aim to be at the forefront of AI, voice enabled IOT devices and robots servicing customers in the hospitality industry.

Jun 2016 – Jun 2017 · 1 yr · Gurgaon, India

• The key objective of GSF is to spur innovation and entrepreneurship through angel and seed investing. Our larger mission is to encourage flow of informed, knowledgeable mentorship capital to the start-ups
• in India and beyond.
• My responsibilities include team selection, events planning and execution, interviewing startups, mentoring and supporting startups, due diligence on startups, investor communication and program execution for GSF.

Jul 2015 – Jun 2016 · 11 mos · New Delhi Area, India

• Reduced downtime, scaled architecture, improved security and compliance for technology infrastructure along with building mobile apps and integrations
• Built, led and managed a team of 25 engineers, product managers, QA and support
• Architected the HTML5 conversion of legacy systems and APIs
• Saved infrastructure costs by 60% with improved AWS implementation

May 2012 – Jan 2013 · 8 mos · London, United Kingdom

• Pocket sized news for iPhone. News you want. Now.
• Reading on a mobile device is tiresome and the content simply does not fit. The solution is a Summly; algorithmically generated summaries using Artificial Intelligence and Natural Language Processing and a whole bunch of other cool stuff.
• Led backend development, CMS and project management for the apps and server etc. and worked with the top management.
• Summly got acquired by Yahoo for USD 30 million, Kudos to Nick and the entire Summly team.

Nov 2011 – Jun 2016 · 4 yrs 7 mos

• Mangoreader is an iAccelerator(CIIE, IIM Ahmedabad) startup based in New York, Pune, Delhi and Ahmedabad. We believe books can be fun, engaging and interactive. We bring books to life by allowing publishers to add interactivity using videos, images, maps, games, html5 content, quizzes, Ads etc and generate more revenue from their books by selling them to various platforms, desktops, mobiles and tablets(kindle, ipad, nook).

Apr 2011 – Sep 2011 · 5 mos

• We couldn't find a simple and effective way to make and join conference calls, so we made one. Our goal is to continue to improve bridg.me to make it the easiest and simplest conferencing service out there.

Jun 2010 – May 2020 · 9 yrs 11 mos

• Technology consulting, Mobile apps and social games and apps development
• MangoSense is an effort to provide information to people in a way that makes sense. With a focus on instinct, collaboration and creativity, it radically improves the way people find and consume information on the web.

Nov 2008 – Oct 2011 · 2 yrs 11 mos

• Collaborating with senior business managers on technology, process, and solutions to support strategic initiatives.
• Working within a high performance distributed architecture
• Leading software development environment in ASP.NET, C#, Java environment.
• Leadership and responsibility for highly complex project teams and knowledge workers that are onsite and offsite.

Sep 2007 – Oct 2008 · 1 yr 1 mo

• Designed and developed the company's marketing and distribution platform for brand advertising
• Integration with 3rd party websites, facebook, twitter and social media websites
• Engineered and implemented cross partner integrations, and distribution channels

Mar 2007 – Aug 2007 · 5 mos

• Built and engineered a financial decision modeling software for investment bankers
• Web based dashboard for creating opportunities, risk analysis, reporting and approval process

May 2006 – Feb 2007 · 9 mos

• www.myplayon.com
• www.playonarcade.com/?c=a

Oct 2004 – May 2006 · 1 yr 7 mos

• Responsible for Directing, establishing, maintaining, and planning the overall policies and goals for a product development department.coordinate and negotiate with the marketing and sales group. Driving product web release strategy, interacts with sales, development, and product marketing to define these requirements, and directing interaction with engineering and operations on product development. Defining the marketing requirements for the company web site and managing the product development process by translating user testing and customer support feedback into feature/function requirements.Managing a group of product management professionals and software developers. reporting to CEO.

Jun 2003 – Oct 2004 · 1 yr 4 mos

• Application engineer responsible for resolving issues, bugs, fixing software errors, implementing new product ideas