About Me
I'm a Software engineer at Nutanix, building cool distributed services for Nutanix AHV (Hypervisor) Management. Previously, I worked at Walmart for 2.5 years in eCommerce and logistics domain. I graduated from BITS Goa in 2021 with a BE in Computer Science.
My core skills are:
‣ Building highly scalable microservices using Java, SpringBoot, Kafka, GraphQL and gRPC.
‣ Writing Spark jobs for large scale data processing.
‣ Full-stack Development with ReactJS, SpringBoot/Django with backend on Cloud(AWS) or Serverless(Firebase).
‣ Building Deep Learning applications and deploying Machine Learning models at scale.
‣ Building reliable and resilient services with Monitoring, Alerting and Disaster Recovery processes in place.
Though primarily interested in Backend systems, I love exploring tech and have done projects across Full-stack development, Deep Learning and Robotics.
Get in touch at anshulsoodnet@gmail.com if you want to collaborate on a project or have an exciting opportunity for me.
Experience
Member of Technical Staff - 2, Nutanix
Feb 2024 - Present
Building Distributed Services in Acropolis Hypervisor (AHV) Management team.
Tech Stack: Go, Python, Bash
Software Engineer 3, Walmart Global Tech
Aug 2023 - Jan 2024
‣ Built SWW 2.0 Billing system. SWW - Ship with Walmart, is a multi-tenant SaaS product for providing shipping services with 3rd party carriers.
‣ Involved in end to end product development from requirements gathering, design (LLD) and coding.
‣ Made the complete pipeline Highly Available through multi-region data replication, multi-region Crons and Kafka failover.
‣ Built a solid Reconciliation System to tackle the challenges associated with a distributed system as well as ensure the accuracy of transactions processed through the Billing System.
Tech Stack: Java, SpringBoot, Kafka, Azure
Software Engineer 2, Walmart Global Tech
Jul 2021 - Jul 2023
‣ Developed a GraphQL BFF for an application to onboard sellers from US to Canada. Integrated with UI through API Gateway.
‣ Wrote a Spark Job for generating reports to help sellers price their products profitably in the Mexico market.
‣ Worked on the Catalog Porting feature to help sellers port their catalogs between international marketplaces. A catalog could involve millions of items in some cases and the feature was scalable in that way.
Tech Stack: Java, SpringBoot, Spark, GraphQL, Azure
Intern, CDAC
Aug 2020 - Dec 2020
‣ Created a distributed pipeline for serving Deep Learning models to provide Number Plate Recognition at scale.
‣ Followed microservices pattern to make each model independently scalable and handle multiple video streams in parallel.
‣ Solved the challenges of Ordered Processing, Stateful Processing and Transactions in a distributed application.
‣ Technologies: Python, Java, Kafka, gRPC, Redis, Docker, MySQL
Summer Intern, Walmart Global Tech
May 2020 - Jul 2020
‣ Created a mechanism to report which Advertising campaigns must be paused or resumed, depending on the item availability in inventory.
‣ Optimized performance using parallelization and batching while ensuring the API rate limit is not breached.
‣ Technologies: Java, SpringBoot, Hibernate, Thymeleaf, MySQL
Education
B.E. Computer Science, Birla Institute of Technology and Science
2017 - 2021
Activities and Societies: Electronics and Robotics Club, Spree 2018 (Sports Fest) Organizing Committee
Projects
Loghouse
[In Progress] A simple service to store logs built with scalablity in mind by applying distributed systems concepts like Service Discovery, Coordination with Consensus and Load Balancing.
MyDreamsTravel
A feature-rich travel blogging site with Authentication, Rich text editor, Image upload support etc. features. Built with ReactJS and deployed on AWS. (Backend currently unavailable due to expiry of free-tier)
Memory Subsystem
Implemented a basic memory subsystem in C as a part of Data Storage Technologies course. It consisted of a TLB, 2 level caching and a Main Memory with Paging.
Twitter Analytics for Demand Forecasting
Tweets are fetched from the Twitter API and their sentiment is analyzed to predict the relative demand for products at a chosen locality. This info can help a retailer stock its inventory accordingly.
Engagement Intensity Prediction
Performs real-time engagement intensity prediction using gaze and pose estimation. The feed is segmented into 10-second video clips, from which facial features are extracted, and then a neural network determines the level of engagement at the given instant.
PPE Detection using Computer Vision
A solution for detecting if a worker is wearing safety gear while working at the workshop, using CCTV cameras. Uses YOLO for object detection and Deep SORT for person tracking. Has a dashboard built with Tkinter to display real-time feed and show alerts.
Position Tracker
Developed a localization system for an autonomous bot developed by the college Robotics Club. It polls data from an Optical Displacement Sensor, Gyroscope, Accelerometer, Magnetometer, and fuses them using Kalman filtering. Used Raspberry Pi as the onboard computer.
Skills
Languages & Frameworks
Java, SpringBoot, Python, Django, JavaScript, React.js, C, Go
Databases
Azure SQL, MySQL, PostgreSQL, Google Firestore, Redis
Other
Kafka, GraphQL, SQL, gRPC, Spark, Docker, Git, Bash, AWS, Firebase, Deep Learning, Data Mining
Awards and Achievements
Bravo Award for Impact
Walmart Global Tech, July 2022
Bravo Award for Engineering Excellence
Walmart Global Tech, Nov 2021
Project selected for national level INSPIRE Award Exhibition
Department of Science and Technology India, Dec 2011