Who is Heet Dave? Overview
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Heet Dave is listed as SDE2 at Amazon at Amazon, based in Sunnyvale, California, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Heet Dave.
Heet Dave previously worked as Software Engineer 2 at Amazon and Software Engineer at Amazon. Heet Dave holds Master Of Science - Ms, Computer Science from Arizona State University.
Email format at Amazon
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AeroLeads found 1 current-domain work email signal for Heet Dave. Compare company email patterns before reaching out.
About Heet Dave
I'm currently working at Amazon in the Alexa AI organization.Skills:• Programming languages: Javascript, C++, Java, Python, C, C#• Web Technologies: ReactJS, Redux, Redux Saga, Cypress, jQuery, AJAX, Java SpringBoot, ASP.NET WebAPI, HTML, CSS• Cloud: AWS, CloudFoundry• Scheduling tools: Apache Airflow, Dagster• DevOps Tools: Jenkins, Docker, Gitlab CI/CD• Database: MSSQL, MySQL, PostgreSQL• Tools: Git, JIRA• IDEs: Eclipse, IntelliJ IDEA, Visual Studio, VS Code
Listed skills include C, Algorithms, Data Structures, Software Development, and 30 others.
Heet Dave's current company
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Heet Dave work experience
A career timeline built from the work history available for this profile.
Software Engineer
* Designed and implemented a functionality to share ML models using cache in a Python based Tier-1 Inference Service which ranks Alexa skills for each request. This reduced the memory footprint by 17% which allowed loading 30% more ML models.* In a Reactive Java based service, implemented a Self-Learning runtime component which fetches data from DynamoDB.
Software Engineer Intern
- Took leadership in developing Software Architecture of Machine Learning based defect detection system for chip manufacturing tools. Used cloud servers and database service to ensure high availability while reducing.
- Developed front-end of the WebApp from scratch using React/Redux to display information about defects including interactive charts which offers better user experience.
- Created CI/CD pipeline using GitLabCI which streamlined deployment process. Implemented Data pipeline using Dagster tool which increased reliability of data pulls and allowed faster debugging.
- Researched various time-series prediction algorithms to detect defects in manufacturing tools.
Software Engineer Intern
- Created an ETL pipeline to process students and course data generated by Blackboard using Python and AWS Glue which involved use of microservices, DynamoDB, S3 and RedShift.
- Created data pipeline using AWS Athena for data generated by Blackboard in AWS S3. Leveraged partitioning in AWS Athena which reduced the data retrieval time significantly. Used Airflow for scheduling jobs.
Computer Science Tutor
Software Engineer
- I worked in the WebPro team and was mainly involved with front-end.
- Developed front-end of Manual Billing Engine using Javascript/ReactJS/Redux for 13K+ WebPros and Resellers of WebPro Panel (ResellerClub.com) to provide better user experience by eliminating need for 3rd party billing.
- Integrated a newer set of APIs related to customers and orders with WebPro Panel front-end (Javascript/ReactJS) and Orchestration Layer (Java SpringBoot) which reduced the loading time of the panel.
- Researched about Docker Secrets, HTTP/2 server push and Material-UI for future performance enhancements.
Software Engineer
- Engineered administrative web applications using ASP.NET WebAPI, Javascript/jQuery and MSSQL to view/filter/export trading data, manage users/access and software distribution for the new trading platform targeted for.
- Setup Continuous Integration(CI) using Jenkins for the majority of projects which streamlined the deployment process increasing the efficiency of DevOps.
- Researched Docker and Dockerized web application for future setup of Continuous Deployment (CD).
- Created SFTP (SSH File Transfer Protocol) client using C++ to send trading data securely to the client’s server.
Intern
- Automated SRS document checking process by developing Natural Language Processing and Neural Network (NN) based tool using Python and NLTK library.
- Used probabilistic N-gram language model and Part-of-Speech tagging to generate input features for NN. Trained NN using the Backpropagation algorithm.
Research Intern
- Built file sharing Android application for P2P network considering the scenario where the network is unstable and file size is too large.
- Leveraged Hashmap and Binary string to eliminate re-transferring of the whole file in case of connection drop by storing file chunks.
Heet Dave education
Master Of Science - Ms, Computer Science
Bachelor Of Technology - Btech, Information And Communication Technology
Frequently asked questions about Heet Dave
Quick answers generated from the profile data available on this page.
What company does Heet Dave work for?
Heet Dave works for Amazon.
What is Heet Dave's role at Amazon?
Heet Dave is listed as SDE2 at Amazon at Amazon.
What is Heet Dave's email address?
AeroLeads has found 1 work email signal at @amazon.com for Heet Dave at Amazon.
Where is Heet Dave based?
Heet Dave is based in Sunnyvale, California, United States while working with Amazon.
What companies has Heet Dave worked for?
Heet Dave has worked for Amazon, Intel Corporation, Apollo Education Group, Arizona State University, and Endurance International Group.
How can I contact Heet Dave?
You can use AeroLeads to view verified contact signals for Heet Dave at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Heet Dave attend?
Heet Dave holds Master Of Science - Ms, Computer Science from Arizona State University.
What skills is Heet Dave known for?
Heet Dave is listed with skills including C, Algorithms, Data Structures, Software Development, C++, Natural Language Processing, Database Management System, and Computer Networking.
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