Hi I'm Vivek Bhat.
I am a software engineer working for Amazon and write clean, scalable and tolerant microservice for the Amazon Same Day Delivery team. I am also an AWS Certified Developer and Solutions Architect with experience designing, developing and deploying AI and Big Data solutions in a high paced agile environment. I am an avid clean coder who is adept at rapid prototyping for fast turnaround times in POCs.
I have extensive experience with all stages of the software development life cycle, 6+ years of progressive experience in Java, AWS, Apache Hadoop, Big Data, HDFS, HBase, NiFi, Angular, HTML, CSS and Typescript development.
I have been working in an Agile environment and possess creative design thinking skills and dedicated to work effectively in dynamic environments.
In my free time I love listening to music, playing soccer, cricket, swimming and go hiking. I am a lover of innovation and everything that would increase my set of skills and knowledge.
I face problems with a smile and solve quickly. Very calculative about the work I do and time I spend.
Aug 2016 - Dec 2017
Master's Degree
GPA: 3.77/4.0
North Carolina State University, NC (USA)
Coursework:- Design and Analysis of Algorithms (CSC-505)
- Software Engineering (CSC-510)
- Object Oriented Design and Development (CSC-517)
- DevOps (CSC 519)
- Database Management System (CSC 540)
- Computer Networks (CSC 570)
- Software Security (CSC 515)
- Artificial Intelligence(CSC 520)
- Computer Graphics (CSC 561)
- Independent Study(CSC 630)
Aug 2012 - Jun 2016
Bachelor's Degree
GPA: 8.3/10
Jamia Millia University, New Delhi (India)
- Bachelors of Technology in Electronics and Communications
- President of IEEE JMI Chapter, New Delhi India
- Was awarded IEEE Best Student Award 2016
Amazon
Software Engineer II
Seattle, Washington, USA
Project: Amazon Same Day
Role: Software Development Engineer
- Led the architecture, development, and deployment of scalable software solutions and microservices.
- Pioneered the “Frequently Bought Together” widget, leveraging AI/ML models, generating over $110K in revenue.
- Spearheaded the development of a high-throughput inventory catalog service, ticket numbers by 20% and improving data freshness by over 10 hours.
- Engineered CI/CD infrastructure design, complete with monitoring, anomaly detection, and alarms.
- Played a pivotal role in 24/7 on-call rotations, addressing cross-team production challenges.
- Oversaw extensive online feature experiments, leveraging feature flags (A/B tests) and production traffic.
- Developed fully automated ETL solutions, empowering Amazon widgets with data generated by Machine Learning.
Microsoft Corporations
Software Engineer II
Redmond, Washington, USA
Project: Microsoft Azure WAN WARP Networking Microservice
Role: Backend Software Engineering
- Spearheaded the global device management microservice, enhancing seamless device interactions worldwide.
- Developed and implemented a system to dynamically execute Python3 scripts and manage dependencies for a vast network of routers.
- Established key performance metrics and monitoring tools for emerging services overseeing thousands of devices.
- Participated in 24/7 on-call rotations to troubleshoot production issues across cross-functional teams.
- Achieved a 50% reduction in config setup time through strategic caching and package management enhancements.
Intel Corporations
Software Development Engineer
Hillsboro, Oregon, USA
Project: Scalable Spark Execution Pipeline
Role: Software Engineer
- Built a Spring based java microservice to run spark jobs on a cluster
- Created multiple microservices to do authentication and monitor the applications
- Created CI/CD pipeline with 100% test coverage of the microservice being deployed using Java, Docker, Gradle etc
Intel Corporations
Software Development Engineer
Hillsboro, Oregon, USA
Project: Corporate Data Repository
Role: Big Data Engineer
- Built a centralized location/data lake that holds Petabytes of datasets across Intel to accelerate data analysis solution
- Modernized data transfer between different systems with 3x performance improvement in throughput using NiFi
- Created CI/CD pipeline with 100% test coverage of NiFi pipelines built for customers using Java, Docker, Gradle etc
- Implemented enterprise grade fault tolerance, monitoring and flexibility for multiple datatypes and data sources
Intel Corporations
Software Development Engineer
Hillsboro, Oregon, USA
Project: Retail Promotions Analytics
Role: Full Stack Web Development
- Productizing an Artificial Intelligence tool for Intel's external customers using Angular 8, Python Flask and AWS infrastructure.
- Developed AWS Lambda functions to optimize cost and start queueing services for various jobs
Intel Corporations
Software Development Engineer
Cary, North Carolina, USA
Project: Intel Saffron AI
Role: Software Engineer
- Created the first automated deployment for Saffron on AWS using Ansible, terraform and bash.
- Architected, developed, implemented and owned the centralized logging system for Intel Saffron using ELK stack and Filebeats on AWS
- Architected the infrastructure required for various clients using AWS, Azure and GCP.
- Orchestrated the fully automated installer for various Intel Saffron services using Docker swarm, bash and ansible.
Center for Integrated Pest Management, NCSU
Software Development Engineer Intern
Raleigh, North Carolina, USA
- Conversion of a computer program from Netlogo to Java
- Develop Java programs based on input from biologists
- Improvement of the (web) graphical user interface (GUI) of the program to make it more responsive, discoverable and attractive.
Intel Corporations
Software Development Engineer Intern
Cary, North Carolina, USA
- Project 1: Intel Saffron REST Client
- Developed Intel Saffron’s Java REST tool that encapsulates the unique security protocol and complex API from scratch
- Earlier, creating one ‘space’ took more than an hour. Now, the customers can create thousands of SMB spaces in less than 5 minutes
- Its intuitive deliverable zip file and heavy documentation guide made SMB REST calls simpler and easier for the customer
- Reduced the engineer allocation time from 15.75 hours to 1 hour, 93.65% reduction in time, hence our company saved money
- Project 2: AWS Auto-Deployment Client
- Introduced modern DevOps techniques and improved the deployment of Saffron by using Intel-AWS EC2 instances and Ansible
- The conventional procedure to install Saffron was to buy a server (not AWS) and manually ssh into it and then set the environments and configure it accordingly.
- This would usually take more than 2 hours and going through cumbersome steps again and again.
- Now, with just one-step Ansible playbook, we get a new up and running EC2 instance with Saffron installed and configured in it.
- Project 3: Saffron Automated Tool-Setup Client
- Revamped the conventional deployment strategy of the tool being built for an external agency
- The new technique deploys an up and running software on top of a Saffron base
- Used a combination of Shell scripts, Docker and Ansible to automate the whole process.
Phone
+1 (919) 945-6947
bhatvivek93@gmail.com