Arpita Shah's Email Addresses & Phone Numbers

System Engineer @ Infosys From April 2012 to June 2013 (1 year 3 months) Pune Area, IndiaSystem Engineer Trainee @ Infosys Trained in Java: JavaScript, JSF, JSP, POJO, JPA | GPA 4.92/5 From November 2011 to March 2012 (5 months) Mysuru Area, IndiaSoftware Engineer II, Computer Vision and Machine Learning Algorithms @ Amazon Lab126 • Currently working...

System Engineer @ Infosys From April 2012 to June 2013 (1 year 3 months) Pune Area, IndiaSystem Engineer Trainee @ Infosys Trained in Java: JavaScript, JSF, JSP, POJO, JPA | GPA 4.92/5 From November 2011 to March 2012 (5 months) Mysuru Area, IndiaSoftware Engineer II, Computer Vision and Machine Learning Algorithms @ Amazon Lab126 • Currently working on a project that is at the intersection of devices, AWS cloud services, computer vision and machine learning algorithms.• Collaborating with applied scientists to design, prioritize and implement new features for our AI platform to solve real customer problems.• Designing, implementing, testing and deploying models behind an API.• Responsible for large data analysis, evaluation and visualization.• Knowledge of deep learning frameworks such as TensorFlow and PyTorch.• Beginners GPU programming experience. San Francisco Bay AreaSoftware Development Engineer @ Amazon Music Responsible for Music Delivery, Transcoding and Live Streaming Projects• Worked on large scale distributed service-oriented application for the successful delivery of digital content to different clients including iOS, Android, Web Browser, Alexa, Desktop Application, Kindle, Fire TV and Sonos.• Worked on complex back-end architecture which involves business logic for streaming and downloading of music content based on: * Subscriptions - Prime, Amazon Music Unlimited * Owned content - Purchases• Maintaining and adding features on transcoding platform (transcodes 50 million+ tracks used by Amazon Music Catalog).• Owned complete audio transcoding component from development to operations for live soccer match (Bundesliga in Germany) which peaked at 60k unique customer for a particular match. • Provided technical support for 100 streams of production houses(onsite in Germany) during the launch of live streaming• Lead developer for delivering the semi-live Elton John event for Amazon Music from backend perspective.• Lead developer on delivering music to Kid's Echo• Trained and ramped up new members of the team on services owned by us in India. From March 2016 to July 2018 (2 years 5 months) San Francisco Bay AreaSoftware Developer Intern @ Amazon Music Customer Service Tool•Researched, designed and implemented search tool to search through millions of service logs for easier and faster debugging to provide better customer experience.•Implemented using ELK(Elastic Search, Logstash and Kibana) stack to collect all logs stored on S3 and pump into Elastic Search cluster through Logstash which can then be monitored using Kibana. From June 2015 to August 2015 (3 months) San Francisco Bay AreaIT Assistant in Game Design @ Northeastern University Setup and maintain servers, PCs and Macs, mo-cap equipment, eye trackers in computer labs and studios housed within the program.Interfacing with faculty for teaching and research needs. From February 2014 to April 2014 (3 months) BostonMath Tutor @ Math*STARS/Algebra 1 Assist 8th and 9th grade students in their homework.Teach them new concepts. From November 2013 to January 2014 (3 months) Curley K-8 School, Boston,MASoftware Engineer, Computer Vision and Machine Learning Algorithms @ Amazon Lab126 Cloud Cam and Ring!• Created integration and load test framework• Presents to new Amazonians on “What it means to be a SDE at Amazon”. From July 2018 to June 2019 (1 year) San Francisco Bay AreaSoftware Developer Engineer Intern @ Amazon Corrector Tool•Designed, developed and implemented end-to-end self-service, easily extensible tool.•Used to correct events that are stuck in internal owing platform (used to calculate vendor royalties for the most of digital product lines at Amazon) due to various reasons like royalty plan id missing, incorrect royalty plan id, error or missing fields.•Minimized SDE time by implementing auto-retry, asynchronous workflows and tracking corrections•Investigated ways to improve the Hive queries and increase speed of corrections From July 2014 to December 2014 (6 months) Greater Seattle Area