Amit Panda Email & Phone Number

Menlo Park, Ca, Us

Currently working as a senior software engineer on the FBR Ads Supply Foundations team, with a specific focus on optimizing Adaptive Ad positioning for emerging surfaces and user cohorts to minimize engagement loss and maximize revenue.

Mountain View, Ca, Us

1) Remote Comfort Sensing (RCS 2.0) Backend Platform – Tech Lead for the RCS 2.0 project to build out new features, services and internal traits to integrate the Nest Temperature Sensor with the next generation of Nest Thermostats on Google Home App as part of a key initiative to host all Nest devices on the same infrastructure fabric.o Implemented a multitude of Java-based RESTful services to determine thermostat compatibility during unboxing, generate communication events (pairing/unpairing) through EventChannel, and enable multiple sensor selection for a thermostat.o Responsible for leading a team of 4 engineers, and working with Product, QA, Apps and Devices teams to align on requirements, architect the entire software design and deliver all key project milestones by Q2 2023.2) Google Nest Rush Hour Rewards (RHR Service):o Conceptualized and built a strategic service using Python, Cloud Spanner and REST APIs to enable utility companies to predict sudden spikes in weather-based energy demand and preemptively schedule demand response events on enrolled customers’ thermostats to balance out the power grid load, effectively preventing 25 grid overloads per partner/season on average.o Developed a highly scalable reporting infrastructure service (Virtual Power Plant) using Cloud Pubsub stream processing to curate and deliver daily historical usage and demand response event data (with compliant anonymization), to more than 150 energy partners (15x higher engagement), resulting in revenue growth of USD 6 million.3) Built a Historical Weather ETL Pipeline using Java, Airflow and Google Weather APIs to analyze weather (temp, wind, humidity) attributes from data collected across 10k+ US weather stations, aggregate it across different time window intervals and store it as a centralized dataset in Google BigQuery, to power all weather-related queries from multiple downstream services.

San Francisco, Ca, Us

1) Designed and developed an ETL pipeline to leverage daily Search, Intent and Order data stored in AWS Redshift clusters & upload them to Iterable (with Splunk alerting & monitoring) for the marketing team to run promotional email campaigns, leading to a 30% average increase in order flow through the search-intent funnel.2) Implemented the backend infrastructure for a new ‘Order Feedback’ service using REST APIs, Python & Django to collect real-time feedback from users ordering food through the Yelp Platform.

Atlanta, Georgia , Us

For Spring 2016, I worked as a TA under Professor Leo Mark for the online Distance Learning course CS 6402 ‘Databases and InfoSec’, for a group of 35 working professionals. My main responsibilities included developing course materials, designing assignments and evaluating projects. I also delivered a lecture series on Information security, Database Privacy, Access Control & Security in NoSQL systems.For Fall 2016, I worked as a TA under Professor Shamkant Navathe for the undergraduate course CS 4400 - Intro to database Systems.

Atlanta, Georgia , Us

Worked as a Graduate Assistant under Professor Tony Giarrusso at the Center for Geographic Information Systems (CGIS) Laboratory.My primary responsibilities included the sonification and visualization of GIS data for a wide-variety of applications using D3.js and other visualization techniques.

San Francisco, Ca, Us

I worked as a Search/DataMining intern on the Transaction Growth team which is responsible for increasing the number of Yelp platform transactions.I initially worked on various analyses/experiments on real-world Yelp data using Amazon Redshift to discover order trends on Yelp Platform and devise a new metric ‘Delivery Score’ for all businesses on Yelp, based on user-reviews, delivery statistics & other existing metrics.For my internship project, I built a feature 'Delivery Search tags' to display annotations on Yelp Delivery Searches to make existing results compelling to users to start an order, which is now live on www.yelp.com. Example of some of those tags:1) Most Popular Delivery restaurant per category per city2) Trending restaurants per city3) Most Popular Items for a restaurant4) Hot 'n' New on Yelp Delivery

As a Member of Technical Staff in the Oracle Public Cloud Infrastructure team, I worked on the TAS framework, a JAVA EE and Oracle BPEL Process Manager Application.1) My primary responsibility was to design, develop and maintain a Notification system in Java for my team to verify the accuracy and correctness of emails sent to customers for all orders placed with the help of tokenized templates.2) As an add-on to the project, I also implemented an intelligent system to automatically update the comparison templates if the email content is changed, by picking up values from the emails and replacing it with the appropriate token. 3) Wrote notification test cases and added the service blueprints of many new services added to OPC suite, like Messaging, Data etc. 4) Automated all lifecycle operations related to tenant orders and subscriptions during Onboarding, Scale up and Termination.5) I was also involved in Re-engineering the programming logic of seeding TAS orders which led to a 20% decrease in seeding time and database queries.

I did a six-month internship at Oracle India at Bangalore (Database team) and primarily worked on the Oracle Secure Backup product, which is a centralized tape backup management software protecting the Oracle database and file systems in distributed UNIX, Linux, Windows and Network Attached Storage (NAS) environments. 2) Performed a thorough research on the static code analysis tool called Parfait and after detailed analysis and comparison with the then-existing tool Valgrind, I integrated Parfait with OSB Main product.3) Testing the tool with a significantly large amount of code resulted in the detection of about 35% higher memory leaks and buffer overflows.

Glendale, Ca, Us

I worked as a junior technical director on the feature film, 'The Penguins of Madagascar'. The movie required extensive setup and implementation of various services/ideas so that artists could start working effectively. As a member of the Layout team (Pre-Animation team which deals with setting up scenes), I developed and implemented three major tools, which were successfully installed in the pipeline:1) A tool for the HoD(Layout) to monitor the progress made on any Maya Previz scene file by any artist during any time of the day and as a result, keep/discard any particular change made by artists.2) A tool to load updated models for any particular sequence at shot level3) A visualization tool for the director of the movie to monitor the running screenplay time of each character as well as a combination of multiple characters.I was also involved in revamping the model server, which is used for seamless transfer of updated animation models between the Bangalore and California studios, apart from fixing a host of existing erroneous studio scripts.

Master’S Degree, Computer Science

Bachelor’S Degree, Computer Science And Mathematics