Trinath Sai Subhash Reddy Pittala

Headshot of Subhash

Hi, I'm Subhash đź‘‹

I'm a Full-Stack Developer well versed in .NET, React.js & Node.js, specializing in building robust and efficient solutions. I have a strong focus on developing fast, accessible, and scalable applications that enhance user experience. With a solid foundation in backend development as well, I bring comprehensive expertise in creating seamless, responsive, and data-driven web applications.

United States

Looking For Full-Time Opportunities

Education

Clemson University logo

Clemson University

  • Masters in Computer Science
  • GPA 3.7 / 4.0

Jan 2023 - Dec 2024

BITS Pilani logo

Birla Institute of Technology and Science, Pilani - Hyderabad Campus

  • Bachelors in Computer Science and Engineering

Aug 2017 - May 2021

Skills

The skills, tools and technologies I am really good at:

Python

Python

SQL

SQL

C#

C#

JavaScript

JavaScript

TypeScript

TypeScript

C++

C++

.NET

.NET

React

React

Node.js

Node.js

Django

Django

AWS

AWS

Git

Git

Linux

Linux

Kafka

Kafka

Docker

Docker

Postman

Postman

Kubernetes

Kubernetes

MongoDB

MongoDB

Postgres

Postgres

Experience

Here is a quick summary of my most recent experiences:

Clemson University logo

Systems Developer - Clemson University

  • Developed a secure, OAuth 2.0-authenticated React dashboard for remote AV control across 54 classrooms, communicating with a Node.js backend via REST APIs and WebSockets for real-time device state management.
  • Integrated 12+ Cisco video systems into a centralized AV control system using REST API interfaces, enabling seamless automation of Zoom/Webex sessions and device preset orchestration.
  • Engineered AV automation workflows using Reax Core Studio and JavaScript, optimizing transitions on Datapath/Christie Spyder systems and reducing runtime errors by 30% during live operations.
  • Designed and deployed a programmable 4-channel voice routing system to streamline support call handling logic, cutting IT resolution time by 75% and improving classroom support efficiency.

May 2024 - Present

RBL Bank logo

Software Engineer - RBL Bank

  • Developed and deployed a high-volume IMPS(Immediate Payment Service) Recon Portal and Scheduler to automate error handling of failed cases with ASP.NET and SQL Server, processing over 1 million daily transactions.
  • Contributed to optimization of Dispute and Issue Resolution system on .NET Core to manage cancelled payment transactions efficiently, achieving a 78% reduction in transaction failure rate
  • Automated the partner onboarding system with .NET MVC (C#), enhancing collaboration between partners and corporate clients with multiple vendors (1000+ concurrent vendors for each client).
  • Optimized database queries and API endpoints for improved performance on bank portals and schedulers on SQL serverby reducing server load by 30%.
  • Conducted comprehensive API testing of the organization’s payment REST API using SoapUI to ensure data integrity.

Jul 2021 - Dec 2022

Glocol Networks logo

Software Engineer Intern - Glocol Networks

  • Built a public transit occupancy tracking system that converted Bluetooth scan data from trains into 96%-accurate passenger counts using DynamoDB pipelines and ML models.
  • Secured distributed APIs (NestJS/FastAPl) with Auth 2.0 + JWT, ensuring zero security incidents as confirmed by pen-tests.
  • Optimized workloads by moving to AWS Lambda, cutting compute costs by 40% and achieving millisecond latency. Integrated Cypress/Jest tests into GitHub Actions, speeding up regression detection by 80%. Reduced MTTR by 50% with Datadog alerts and Kubernetes tracing connected to PagerDuty.

Jul 2020 - Jan 2021

BITS Pilani logo

Undergraduate Assistant - BITS Pilani, Hyderabad Campus

  • Built a React based document categorization interface that used n-gram hashing and document metadata to flag and suggest reclassification of mislabeled entries.
  • Connected to a MySQL-backed REST API using Axios to fetch, analyze, and update document records of 4,000+ previously misclassified files with 98% classification accuracy on test data.

Sep 2019 - Jun 2020

APHRDI logo

Summer Intern - Andhra Pradesh Human Resources Development Institute

  • Conducted a viability study of 7000 Mee Seva e-Government kiosks in Andhra Pradesh, utilizing Microsoft Excel for data analysis and Tableau for data visualization.

Jun 2019 - Sep 2019

Work

Some of the noteworthy projects I have built:

Festive Fusion preview

Festive Fusion

A multi-level game using Python and Pygame, integrating Christmas, Thanksgiving, and Halloween themes. Implemented key features, including game save and load functionality, a scoring system, and an graphical interface.

Python

Pygame

Messenger App preview

Messenger App

A real-time chat application built with React Native and Firebase, featuring user authentication, message encryption, and a responsive design for seamless communication across devices.

React Native

Firebase

JavaScript

Cloud Solution for TigerMed Company preview

Cloud Solution for TigerMed Company

Proposed an AWS Cloud solution for migrating on-premises systems, incorporating high availability and disaster recovery measures using AWS Well-Architected Framework.

AWS

EC2

S3

AWS Well-Architected Framework

Interactive Periodic Table preview

Interactive Periodic Table

Developed an interactive periodic table using Angular, featuring detailed information on each element, and data tables for easy access to element properties.

JavaScript

Angular

Mood Journal App preview

Mood Journal App

An iOS application for tracking mood and activities, featuring mood logging, interactive statistics, profile management, random quotes, and Face ID authentication.

Swift

SwiftUI

iOS

Pizzeria Management System preview

Pizzeria Management System

A Java-based application for managing a pizzeria, featuring a console based UI for managing orders, inventory, and employees.

Java

AWS RDS

MySQL

Predicting Hearing Loss from MRI Data preview

Predicting Hearing Loss from MRI Data

A machine learning pipeline using autoencoders, variational autoencoders, and multi-layer neural networks to predict hearing loss from 3D MRI brain images.

Python

PyTorch

Machine Learning

Variational Autoencoders

AirBnB Price Determinants preview

AirBnB Price Determinants

Analyzed various factors affecting Airbnb pricing using statistical methods and data visualization techniques.

R

Tex

Get in touch

What’s next? Feel free to reach out to me if you are looking for a developer, have a query, or simply want to connect.

subhash8111999@gmail.com

+1 864 623 8616

You may also find me on these platforms!