Feb 2022 – Jul 2025 · 3 yrs 5 mos · Bangalore Urban, Karnataka, India · Hybrid

• At Toast, I was instrumental in defining the technology strategy and launching innovative platforms that significantly impacted the company's growth. Being one of the founding members, helped establishing the Bangalore Development and Innovation Centre. I spearheaded initiatives that generated over $30M in revenue through AI powered applications, Data products, automation and risk mitigation. My work included the introduction of AI productivity tools, LLM and AI agents powered applications and a robust data governance framework, enhancing operational efficiency and product innovation.

Dec 2020 – Feb 2022 · 1 yr 2 mos

• Led Product Engineering teams responsible to drive digital transformation and scale Maersk’s Storage & Distribution Platform. Building, enabling and accelerating-warehousing, cold stores, Depots and E-Commerce Logistics products and transforming customer experiences.
• Responsible for an $90 M portfolio of investment enabling technology modernisation, building event streaming and AI platform, introduction of DevOps operating model, enabling cloud native application development, API transition and enterprise business process standardization to support Maersk Transformation agenda.

Jul 2019 – Nov 2020 · 1 yr 4 mos

• Engineering Leader accountable for the Digital Strategy and Execution to enable the growth of Warehousing, Cold Stores, 4PL and E-Commerce Logistics services, including data migration to lake, IOT & robotics enablement. Focus has been to increase operational efficiency, enable compliance with cybersecurity and privacy regulations, provide connected consumer experiences, experiment and innovate new products and business models in the Logistics & Services area.

Mar 2017 – Jun 2019 · 2 yrs 3 mos

• Led Digital India team in solving large scale supply chain and logistics problems through data, analytics and technology, and driven changes in operating models to accelerate growth. To power Digital Transformation Journey of Maersk, helped open new Digital Center in Bangalore, set-up Data, ML/AI Platform for delivery of salable and secure ML/AI solutions, created portfolio of Digital Solutions and Delivery Road-map and partnered with commercial leaders to drastically transform customer experience through Digital solutions.
• Our "Maestro Data Platform" uses a combination of open source (Spark, Python) and pre-built services ML/AI Platform (Paas) to deliver ML/AI solutions at scale. Components include Data Lake (Built on ADLS), Ontology layer, Data services and library of various ML and AI models exposed through APIs (Tech stack- Python, Spark, Databricks and Azure ML). Image Processing is done using TensorFlow and Keras, Sensor data is streamed through IoT Hubs and uses Event Hubs and Databricks for real time stream processing.

Oct 2013 – Mar 2017 · 3 yrs 5 mos · Magarpatta City, Pune

• Driven CEOs’ strategic data and IOT platform modernization initiative. Built strategic plan for the growth of Analytics in the enterprise. Developed Big Data, BI & Analytics tool strategy and supported AWS data migration initiative. Delivered AI/ML and insights with "Art of Possible” approach to make learning iterative, more accurate and faster as increasing amounts of sensor data, pictures e.g. become available to describe, predict and influence events.
• Project to develop algorithm to predict probability of engine failure and estimate parts requirement with the help Machine GPS Location, Telematics, Warranty and Technician Assistance Data led to successful award of patent to John Deere in India and the US, Patent allotted with title – “METHODS AND APPARATUS TO PREDICT MACHINE FAILURES”–Patent No. US10235631B2.

Mar 2012 – Oct 2013 · 1 yr 7 mos · Gurgaon, India

• Provided strategic advisory to CXO level audience, backed by deep research and data analytics models. Set up and led CEB's (now Gartner) Analytics & Quantitative insights team that supported HR & Talent Advisory, Sales & Marketing programs and developed research and data products.
• Built a high performing team that developed quantitative models and explored different strategic question in various domains and surfaced critical insights based on data analytics for CXO-level audience.

Mar 2010 – Mar 2012 · 2 yrs

• Set-up Analytics and SAS competency center within India Forensics Technology Lab as a part of KPMG’s effort to widen the scope and reach of Data Analytics. Conceptualized and implemented advance analytics and econometric practices for the handling Data Analytics projects.
• As a Member of in-house Smart Grid and Commodity strategy groups, developed Analytics Module for electric utilities and pricing solutions for commodity groups.
• Conducted internal trainings and external workshops on the application data analytics for real world business solutions. Participated in business development/ interaction with clients to design and implement business improvement and risk/fraud detection models.

Oct 2007 – Jun 2009 · 1 yr 8 mos · Hyderabad

• Led the team of Economic and Data Analyst in preparing investment models, simulating growth projections and preparing industry and stock summaries. One of the major achievements was designing financial and economic database, automating several proprietary functional models and reports and integration of the top down work with bottom up research for effective portfolio management.

Oct 2006 – Oct 2007 · 1 yr · Hyderabad, Telangana, India

• Developed propriety database of macro and micro economic variables using various econometric and statistical models. Different AI/ML models and econometric techniques were used to simulate different growth scenarios. Researched and wrote country profiles taking into account a range of factors including economic, political, infrastructure conditions and regulatory policies. Developing relevant country insights using research and analytics for business decision making.