Deepak Maniyani

Enthusiastic software developer with a solid programming background and an industry experience of 3+ years in developing the state-of-the-art enterprise applications for the retail industry

Experience

Engineer III

Fanatics

Part of the Integration team which connects different external and internal enterprise systems

  • Designed and developed integrations and processes to support business automation and data integration. This includes Finance & Operations, HR, and other external SaaS products
  • Implemented authorization server for securing the existing APIs with OAuth2
January 2021 - Current

Technology Intern

Fanatics

I was part of a data science team where my responsibility was to develop tools that enabled the team to easily maintain and analyze large datasets

  • Developed a self-service slice and dice interface that enabled data-scientists to quickly analyze large amount of data in AWS S3
  • Developed a POC on feature store incorporating increased discoverability, abstraction of versioned datasets
May 2020 - August 2020

Senior Software Engineer

Target Corporation

Developed backend applications using microservice architecture. Followed Agile and DevOps practices. Worked across application development cycle: requirement gathering, design, development, testing, deployment, maintenance and documentation

  • Developed centralized auditing and configuration management platform for databases (Postgres, Oracle, Mongo and Cassandra) in Golang
  • Developed centralized managed service for Redis and Elastic Search, which provided an one click provisioning solution with monitoring and auto-scaling
  • Built generic auto-scale engine for the managed services
  • Worked on building in-house Function as a Service Platform PoC in Ratpack, helped the team to extend the FaaS support to Golang using JNA
March 2018 - August 2019

Software Engineer

Target Corporation

I was part of the Platform Engineering Team where I designed and developed applications that helped developers to get an easy and secure access to the infrastructure (Databases/Caches/Platforms) while ensuring the efficient use of the compute and storage.

  • Designed, developed and maintained ETL (Data Extraction, Transformation and Loading) applications using Apache Camel and Spring Boot framework
  • Developed REST APIs for maintaining existing infrastructures; reduced manual work by 80%
July 2016 - March 2018

Education

University of Florida

Masters of Science
Computer Science

GPA: 4.0/4.0

Relevant Coursework: Analysis of Algorithms, Advanced Data Structures, Distributed Operating System, Database System Implementation, Virtual Computers, Mathematics for Intelligent Systems, Machine Learning

August 2019 - present

RV College of Engineering

Bachelors of Engineering
Electronics and Communication

GPA: 8.7/10

August 2012 - May 2016

Skills

Programming Languages:
Java, Groovy, Ratpack, Golang, F#
Frameworks:
Spring Boot, Apache Camel, Akka
Databases and Caches:
Apache Ignite, Redis, Memcached, Elastic Search, Kafka, Mongo, Postgres, MS SQL
Other Skills:
Junit and Mockito, Git, Docker, Drone, Ansible, Bash, Grafana, ELK Stack
Platforms:
AWS, OpenStack, OpenFaas and Kubernetes

Projects and Publications

  • Smart Shopping Cart: A cost efficient self-checkout cart: Design and Development of Weight Sensors Based Smart Shopping Cart and Rack System for Shopping Malls Published in Materials Today: Proceedings, Volume 5, Issue 4, Part 3, 2018, Pages 10814-10820. Science Direct
  • Deep Generative Models with an emphasis on Variational Autoencoders and Generative Adversarial Networks Github Paper
  • OneMoreDB: Relational database developed in C++ Github
  • Convex Hull Algorithms Paper
  • Peer to Peer File distribution system using socket programming in Java Github
  • Store heat map: aggregated analysis of shopping cart movement inside a retail shop (part of hackathon at Target)
  • Store Assistant Bot: powered by google speech to text api (‘Chitti’, the robot won 1st place in annual hackathon at Target)
  • Twitter-clone, Pastry, Gossip and Push-Sum network implementation using Akka and F# Github