Working as a software engineer in the Prime Video org at Amazon. Working in the Data Tools, Monitoring and Insights team at Prime Video, building services, tools and applications for large scale real time monitoring, reporting, dashboarding, analytics, and insight generation from all of Prime Video data. Technical lead of team of 5 engineers, leading the primary reporting and dash-boarding platform for prime video data from video streams used by tens of thousands of customers internal and external to Amazon, and for live contractual reporting.- Designed, implemented and launched several large features on the React based web applications for real time data analysis on video streams, retrieval of data fields and metrics using a fully automated pipeline, query execution on data tables etc.- Technical lead of team of 4 engineers, leading end to end architecture and design along with development of a multi-stage micro-service based application to detect, measure and raise data quality issues in petabyte-scale telemetry data generated during video streaming. Launched the service that processes 100s of petabytes of data daily, proactively identifying critical data issues and avoiding bad reporting for legal and contracts saving millions of dollars monthly.- Working on architecture and implementation of Generative AI based tools for insight generation, anomaly detection, issue identification and mitigation, root cause analysis on playback information from video streams on Prime Video.- Mentored and led summer interns and software engineers on the team. Leading operational efficiency initiatives. Thought leader for engineering excellence. Actively involved in hiring and recruiting, as well as overall operational planning and strategy.

Worked on Google TV and Android TV.Worked in the Google TV team to design, develop and build the next generation of TV experience and drive significant changes in the streaming ecosystem.- Built client-side and server-side user-facing features launched on over 80M+ devices in more than 100 countries on the Android TV Operating System to make the user experience on the TV more delightful and personalised.- Designed and implemented several features to enhance the quality of content recommendations on Android TV as well as showcase advertisements, promotions and merchandising content to users on the platform. - Developed a reference application integrating several new features within a TV app such as Cast, Voice Actions (Google Assistant) and Search to demonstrate best practices and accurate implementation to partners and external developers, and facilitate higher-quality applications.- Worked on creating self-serve tools and interfaces to help improve developer experience and make it simpler, faster and easier for developers to build their applications for the Android TV and Google TV.- Developed a pipeline for content producers and publishers to integrate with systems at Google, and seamlessly provide content assets and metadata.

Worked part time as a 20%er on the Youtube EMEA Claims Team under Tiffany Ly (Chief of Staff, Youtube EMEA).Claims (i.e., key stats) are critical to Youtube to tell the YouTube story, mission, and positive impact to press, advertisers, users, and other KOFs. Claims require executive oversight and cross-functional (XFN) work across multiple Google & YouTube teams in GBO, GAPP (Policy), PR / Comms, Marketing, Investor Relations, and Product to make sure we properly land the key YouTube messages externally. To help with this mission, I worked on piloting and building new processes in each region with XFN Leads to better define, prioritize, and land the high-level messages and claims. In this role, I worked with senior stakeholders and engaged with global teams across Google and YouTube to help deliver highly visible processes and claims (meant for public / external use).

Worked on Project Sankie under the guidance of Dr. Ranjita Bhagwan to build the next generation data-driven AI bot to automate DevOps.“Project Sankie infuses data-driven techniques into engineering processes, development environments, and software lifecycles of large services. Sankie’s goal is to consume data from static and dynamic features of a system, learn from them, and provide meaningful insights that can be used to make decisions for developing/reviewing, testing, deploying, monitoring, and root-causing.”

Founded and led the student chapter of Apple Developers Group Manipal. Grew a team from 5 to over 50 members in less than 8 months. Sourced projects and managed developer teams, releasing 5 application-based products in a year. Spearheaded several events.- Worked to provide a community for developers who are interested in programming and development, with special focus on Swift, iOS, MacOS and WatchOS apps (the iOS ecosystem).- Empowered and mentored interested students to build projects following the 3D (Design, Develop, Deadline) principle with an aim to solve relevant problems to make an impact in our direct environment and enrich lives using technology.- Built strong relationships with various schools (such as Architecture, Medical schools) in the university to support interdisciplinary interaction and solve their day-to-day problems with software solutions.- Conducted workshops and seminars in college on different sub-domains of application development and design thinking, hosted technical events such as hackathons and tech-talks by prominent people from Apple Inc and the industry, and involved students to actively participate in innovative activities and challenges.

Conducted numerous workshops and spoke in talks on data science, machine learning and image processing.ACM Manipal chapter strives to advocate research in Manipal University. As its core committee member, I was responsible for organizing and conducting events, workshops and talks by University professors that help students get started with research and can find the right resources to advance into their respective fields.

Worked in the Consumer and Investment Management - Technology Division on the online consumer retail banking platform "Marcus", for the application development team. Received a pre-placement offer for Analyst role.- Developed REST APIs and added features to web services for multiple functionalities required for loan processing and loan recovery.- Implemented encryption/decryption algorithms for data storage and transfer operations.- Followed scrum and agile software development practices to deliver incremental builds working with a team of 6 developers.- Integrated with various external vendors and internal systems, defining requirements and establishing contracts.Tech implemented : MongoDB, Apache Kafka, Spring, Dropwizard, Springboot, SFTP, Apache Camel, Java microservices.Also placed runners up in Goldman Sachs Intern Coding Contest.

Worked in the Flights team, under the guidance of Mr. Satish Mani (SVP - Technology), that is responsible for search, booking, confirmation, cancellation and all things related to flights on the MakeMyTrip website as well as the mobile apps. My role involved - - Data gathering and data interpretation/visualisation of all airports across the world, as well as finding insights on flights and routes connecting them.- Data science and analytics on data regarding various carriers, flights and airports.- Carrier prediction based on user requirements, and developing re-routing strategies for optimal flight routes (route optimisation). - Comparing and analysing data serialisation and deserialisation formats such as Protobuf, JSON and Gzip for best communication between different services.

As a Management Committee Member of the Official Computer Science Club of college, I was responsible for --Working with a dedicated team of 43 members to uplift the technical knowledge all over the campus and using Computer science to solve many problems of students and the college-Conducting workshops and events to teach freshmen and students about new technologies in the community-Hosting technical fests to encourage students in pursuing their passion

Worked with a team of 90 committee members to help organise workshops, coding and technical events and a 2-day long technical fest named "Prometheus". Encouraging students of the campus to pursue their passions in technology and helping in providing adequate resources for the same.

Analytics, Machine Learning and strategic planning intern under Mohit Sharma, VP - Data Science.Worked with large scale financial datasets to understand, analyse, plot and map customer behaviour, as well as predict customer actions and the appropriate future rates of interest for loans etc to deliver important insights and benefit the firm.

- Studied and learnt R, statistics, econometrics, data analytics and visualisation, and data science under professor Sameer Mathur at IIM Lucknow. Learnt and used Dplyr, Ggplot2, Shiny, Tidyr, R Markdown, Plotly etc.- Applied these concepts in real-time applications of Data Analytics (Predictive Analytics, Pricing Systems) while working on various Producer-Consumer situations such as Airline Ticket Pricing, predicting MBA starting salaries and employee retention ratios. - Extensively used R to visualize and analyze data to solve business case studies from Harvard Business Review with daily assignments and remote submissions.- Completed a live project under him to analyse video game sales in the past 20 years, and predict future trends in the same.

As part of the management team at MIT Live, the official video media body of Manipal Institute of Technology, my role involved managing and working with various teams involved with photography, videography, video editing, writing, graphics and social media to coordinate the development and release of short films as well as videos on workshops and events happening on campus.