Open to full-time roles

Goutham Raju Kosuru Srinivasa

I build systems that hold — from compliance-critical platforms
to distributed APIs serving thousands of users daily.

ASU · GPA 4.0 Neudesic · IBM AWS Certified Azure Certified
Goutham Raju Kosuru Srinivasa — Full-Stack Software Engineer

Who I Am

I'm a Full-Stack Software Engineer with 2+ years of production experience at Neudesic (IBM), where I owned backend and frontend features across enterprise applications serving 2,000+ daily users. I hold an M.S. in Information Technology from Arizona State University (GPA 4.0, With Distinction, Dec 2025).

My work spans cloud-native APIs, AI-powered pipelines, compliance systems, and embedded ML — with published peer-reviewed research. I'm currently open to full-time SWE/SDE roles on-site, hybrid, or remote.

2+ Years Experience
2,000+ Daily Users
99.5% Uptime SLA
4.0 GPA

Tech Stack

Languages

  • C#
  • Java
  • Python
  • TypeScript
  • JavaScript
  • HTML
  • CSS
  • SQL

Technologies & Frameworks

  • .NET Core
  • ASP.NET Core Web API
  • FastAPI
  • NestJS
  • Angular
  • React.js
  • Next.js

Developer Tools

  • VS Code
  • Git
  • GitHub Actions
  • Postman
  • Docker

Cloud & DevOps

  • AWS Lambda
  • API Gateway
  • DynamoDB
  • S3
  • SQS
  • AWS Bedrock
  • SAM
  • CloudFormation
  • EC2
  • Azure App Services
  • Azure DevOps
  • Application Insights

Database & Storage

  • PostgreSQL
  • SQL Server
  • DynamoDB
  • MongoDB
  • Query Optimization
  • Schema Design

AI / LLM Tools & Agents

  • LangChain
  • AWS Bedrock
  • Claude Code
  • GitHub Copilot
  • Cursor

Where I've Worked

Software Engineer (Volunteer)

Community Dreams Foundation

Current Feb 2026 – Present
  • Rebuilt a compliance-critical platform from scratch after finding the existing codebase was entirely hardcoded UI with no functional backend; designed a PostgreSQL schema with enforced state transitions and row-level security
  • Implemented RBAC with AES-256 encrypted storage and immutable audit trails, enforcing access boundaries at the database level
  • Established a 26-test automated suite validating data integrity and concurrent state transitions, integrated into a CI/CD pipeline via Docker and GitHub Actions, all passing before feature work began
  • Built structured logging and observability dashboards before the first user onboarded, enabling proactive detection of data integrity issues via state machine trace analysis; onboarded 20+ beta users across three distinct roles
PythonFastAPI PostgreSQLC# ReactDocker GitHub Actions

Software Development Engineer

Neudesic (An IBM Company)

Feb 2022 – Jan 2024
  • Delivered three connected web and mobile applications for SLB (Schlumberger), a global oilfield services company, replacing manual phone-based booking with a customer portal, employee app, and admin dashboard synced in real time, serving 2,000+ daily users
  • Diagnosed a high-impact SQL performance defect using SQL Server Profiler, identifying N+1 query patterns firing sequential calls per request; rewrote the data access layer with batched JOINs and composite indexes, cutting API latency by 32%
  • Led a TypeScript migration across all three codebases, eliminating a recurring class of null-reference errors caught only in production; reduced runtime errors by 40%
  • Established production monitoring using Azure Application Insights, diagnosing and resolving incidents end-to-end; improved CI/CD pipeline reliability by 25% through root cause analysis of recurring build failures, maintaining 99.5% uptime
C#.NET Core AngularTypeScript SQL ServerAzure Application Insights Azure DevOps

Software Engineer (Intern)

The Sparks Foundation

Aug 2021 – Oct 2021
  • Built a serverless, event-driven backend on AWS Lambda and API Gateway, designing a DynamoDB schema with access-pattern-first modeling and GSIs to sustain 1,000+ daily transactions at sub-300ms p95 latency
  • Automated infrastructure provisioning using AWS SAM and CloudFormation, reducing manual environment setup from 45+ minutes to under 10 minutes, cutting provisioning time by 80%
PythonAWS Lambda API GatewayDynamoDB SQSSAM CloudFormation

Selected Work

Multi-Agent AI Document Processing Pipeline

Architected a fault-tolerant, event-driven pipeline with three specialized agents (classify → extract → validate) orchestrated via SQS with dead letter queues and exponential backoff retry, ensuring failed messages never block downstream processing. Implemented idempotency checks so redelivered messages under SQS's at-least-once guarantee never process a document twice; DynamoDB for agent state and audit persistence.

AWS BedrockLangChain FastAPIPython SQSDynamoDB
Full-Stack Multi-Tenant

Secure Task Management System

Built a production-ready full-stack application in an Nx monorepo with JWT authentication, database-enforced three-role RBAC, and a shared TypeScript DTO library eliminating contract drift between frontend and backend. Designed a multi-tenant PostgreSQL schema with row-level data isolation and comprehensive automated test coverage, deployed via a Docker-based CI/CD pipeline.

NestJSAngular TypeScriptPostgreSQL JWTDocker Nx

Credentials

AWS Academy Graduate – Cloud Architecting

Amazon Web Services · Nov 2025

Verify ↗

Machine Learning for Natural Language Processing

Amazon Web Services · Apr 2025

Verify ↗

Microsoft Certified: Azure Fundamentals

Microsoft · Oct 2022

8FA7936A3C2B62CF

Microsoft Certified: Azure Data Fundamentals

Microsoft · Jun 2023

9170933E0C4ADBAE

Academic Background

M.S. Information Technology

Arizona State University

Dec 2025 With Distinction

GPA: 4.0 / 4.0

Relevant coursework: NLP, Advanced Big Data Analytics/AI, Cloud Architecture, Advanced DB Management, Information Systems Security

B.E. Electronics & Communication Engineering

Visvesvaraya Technological University

Jul 2022

CGPA: 7.70 / 10.0

Research

Peer Reviewed Impact Factor 6.752

Object Detection and Text Reading Device for the Visually Impaired

International Research Journal of Modernization in Engineering Technology and Science (IRJMETS) · 2022

Real-time embedded AI system combining YOLOv3 object detection and Tesseract OCR on Raspberry Pi 4. TensorFlow Lite quantization achieving 15+ FPS. Peer-reviewed and published.

Let's Work Together

Open to full-time SWE/SDE roles — on-site, hybrid, or remote. Open to relocation.