Shiva Gandluri

Software Development Engineer at Amazon Web Services (AWS)

Hello! I am a Software Development Engineer at AWS, where I build resilient, high-scale cloud infrastructure and developer tools. With a Master's in Data Science from SUNY Buffalo and a strong foundation in Computer Science, I bridge the gap between robust software engineering and intelligent data systems. My expertise spans full-stack development, cloud architecture, and machine learning, with a passion for creating intuitive solutions that solve complex real-world problems.

In my spare time, I like to dabble in stuff far from the tech space to consciously build an all-round personality. I avidly follow self-help, business, and finance-related content. I'm a big productivity and minimalism nerd, trying out new productivity tricks in an attempt to achieve a more balanced and mindful life. Also, I've been into music for quite a while now, and it just works like magic in this chaotic world.

Skills

Programming Languages

Python
Java
JavaScript JavaScript
TypeScript TypeScript
Swift

Web & Mobile Frameworks

Angular
Django
SwiftUI SwiftUI
HTML5
CSS3
Bootstrap

Cloud & Databases

AWS AWS
GCP GCP
MySQL
SQLite

Tools & Platforms

Git
Linux
Ubuntu
Windows

Machine Learning & Data Science

Deep Learning Deep Learning
Keras Keras
Scikit Learn Scikit Learn
NumPy NumPy
Pandas Pandas
SciPy SciPy
NLTK NLTK
Vision Framework Vision Framework

Education

State University of New York (SUNY) at Buffalo

Master of Science in Engineering Sciences (Data Science)

August 2021 - Present

Jawaharlal Nehru Technological University - Hyderabad

Bachelor of Technology in Computer Science and Engineering

August 2015 - June 2019

Projects

See all Projects for more examples!

Experience

Software Development Engineer

Amazon Web Services (AWS)

October 2022 - Present

  • Designed and implemented failed lab provisioning access feature enabling 300+ developers to debug CloudFormation failures in real-time, achieving 100% adoption and reducing average debug cycles from a day to immediate access, addressing the #1 customer-requested capability.
  • Architected and deployed active-active multi-region infrastructure (IAD + PDX) for our services, eliminating 3-5 annual AWS service outages caused by us-east-1 regional events, improving availability of our service impacted by regional failures and enabling customer-side automatic failover.
  • Migrated service infrastructure from legacy Rest API based API Gateway to custom DNS endpoints via Route53 delegation hierarchy, eliminating TLS 1.0/1.1 security vulnerabilities (BEAST, POODLE attacks) to achieve PCI DSS compliance and improving endpoint readability for customers.

Research Assistant

University at Buffalo, State University of New York

October 2021 - April 2022

  • Developed a full-stack single-page dynamic web application to conduct EPDS survey and a portal for doctors to publish articles and interact with people.
  • Crafted an ML based chatbot system that takes person's symptoms and detects the Sexually Transmitted Disease related to these symptoms.

Assistant Systems Engineer

Tata Consultancy Services

July 2019 - April 2021

  • Performed full-stack development including design and troubleshooting of product, validation of needs in conjunction with onsite and offshore teams following Agile-Scrum methodology.
  • Built RESTful Web Services for an internal web application for New York Life Co. Integrated various visualization charts with Angular to show user trends and reduced workload for Underwriters by 35%.
  • Orchestrated project from start to finish and championed strict code quality control, reinforced best practices, optimized, re-factored existing code bases increasing clarity, consistency, and maintainability.
  • Coordinated with a team of three to upgrade SSIS job scripts from Microsoft SQL Server-2008 version to 2012 version and increased SSIS jobs performance by 10% by optimizing scripts of daily jobs.

Machine Learning Intern

Applied AI Course

December 2018 - February 2019

  • Crafted two full-stack data science projects and boosted model efficiency.
  • Quora Question Pair Similarity: Constructed a Siamese LSTM based deep learning(RNN) model to predict whether a pair of questions are semantically similar or not. Minimized log-loss to 0.28 using Feature Engineering.
  • Passenger Satisfaction: Created a machine learning model to predict whether a customer is satisfied or not with journey. Implemented CRISP-DM methodology and obtained results of 96% accuracy.

Leadership

Chairperson

Java Programming League (JPL)

October 2018 - November 2018

Programming Contest at ACE Engineering College.

Student Co-ordinator

Street Cause

January 2017 - March 2017

As a student member, I raised funds for the event "Run for a Cause-2017" organized by Street Cause, an NGO, to help develop few villages by providing basic amenities.

Blogs