Sreeram SSreeram S

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DEVELOPER
AI · Cloud · Full-Stack

Building intelligent systems that bridge AI and cloud at scale

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About

Sreeram at work
Sreeram
  • ✦AI Full-Stack Developer at Arizona State University's AI Cloud Innovation Center, leading the design and development of AI/ML-powered public sector solutions on AWS.
  • ✦3+ years at GE Healthcare developing MRI imaging algorithms, building microservices architectures, and optimizing clinical pipelines serving hospitals worldwide.
  • ✦Now architecting generative AI systems using AWS Bedrock, multi-agent orchestration, and RAG pipelines.
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YEARS SOFTWARE ENGINEER EXPERIENCE

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YEARS INTERNSHIP EXPERIENCE

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PROJECTS BUILT

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USERS SERVED

Education

Arizona State University

Master of Science in Computer Science

Arizona State University

Aug 2025 - Aug 2027

Amrita Vishwa Vidyapeetham

B.Tech in Electronics and Communication Engineering

Amrita Vishwa Vidyapeetham

Jul 2018 - Jul 2022

Experience

Where I've contributed.

AI Full-Stack Developer

ASU AI Cloud Innovation Center · Powered by AWS

  • ✦

    Lead AI/ML based public sector projects on AWS through the AI Development Life Cycle, designing cloud-native serverless architectures (Lambda, API Gateway, S3, DynamoDB) and integrating generative AI capabilities using Bedrock, AgentCore, MCP, and RAG pipelines.

  • ✦

    Architected an AI presentation coaching tool on a serverless stack serving 1,000+ students while reducing infrastructure costs by 35%.

  • ✦

    Developed a real estate coaching tool with multi-persona support, bidirectional voice Q&A AI agents using Bedrock AgentCore, Strands Agents, and multi-agent orchestration.

AWS BedrockAgentCoreLambdaS3RAGMCPNext.jsDynamoDBTypeScript

Software Engineer

GE HealthCare

  • ✦

    Developed MRI post-scan imaging algorithms (ADC, ASL, DWI Propeller) in Java and C++. Optimized ADC computation via multi-threaded processing, improving throughput by 30%.

  • ✦

    Engineered Window Manager and Desktop Management microservices using Spring Boot, RabbitMQ, and Eureka. Reduced response latency by 40%.

  • ✦

    Refactored legacy codebases resolving 9,000+ static analysis issues. Improved runtime performance by 30% and test coverage to 85%.

  • ✦

    Architected CI/CD pipelines using Jenkins and GitLab, reducing release defects by 50%.

JavaC++Spring BootRabbitMQJenkinsDockerMicroservicesRest API

Software Engineer Intern

General Electric

  • ✦

    Enhanced X-ray Intelligence workflow with automatic camera alignment using Intel RealSense, Detectron2, and Mask R-CNN achieving 90%+ segmentation accuracy.

  • ✦

    Built a FastAPI REST API for real-time ML inference with sub-200ms response time.

PythonTensorFlowOpenCVFastAPIMask R-CNN

Projects

Featured works.

AI Presentation Coach

AI Presentation Coach

Serverless EdTech Platform

TrueCost

TrueCost

Know What You're Really Paying

SparkyFi

SparkyFi

Financial Wellness App

HireIntOS

HireIntOS

AI Interview Preparation Platform

AI Pitch Persona Coach

AI Pitch Persona Coach

AI Presentation Analyzer

SONIC

SONIC

Voice AI Productivity Agent

04 / 06

HireIntOS

AI Interview Preparation Platform

Transforms interview preparation into interview experience through personalized AI interviewers, adaptive coding challenges, and real-time feedback. Built for candidates to practice with realistic, role-specific mock interviews.

Next.jsLLMMongoDBMCPGemini

View ProjectGitHub

Other Projects

Side Quests.

Elastic Face Recognition

Elastic Face Recognition

Multi-tier face recognition app with dynamic EC2 scaling based on SQS queue depth and real-time recognition using FaceNet. Sub-second latency processing 100 concurrent requests.

AWS EC2SQSFaceNet
Learnify Genie

Learnify Genie

Educational AI agent that converts text into comic strips and flashcards using multi-model pipeline for summarization, script generation, and image generation.

PythonFlaskAWS Nova
Stroke Prediction App

Stroke Prediction App

Android App with a 92% accuracy rate that uses just 4 parameters to predict the chances of suffering an ischemic stroke

Machine LearningPythonNeural Networks
Carbon Cruncher AI

Carbon Cruncher AI

Upload a photo and the system recognizes the object and material, estimates its weight and CO₂ emissions, and suggests greener alternatives with a responsive shareable UI.

AIComputer VisionNext.js
Stress Prediction

Stress Prediction

Stress levels prediction using facial recognition Model, using the eyebrow and eye-blinking movement on a real-time facial image

Convolutional Neural NetworkOpenCVML
Rerac

Rerac

An Online Courses Curation Website to rate, review and pick the best online courses across different platforms.

React.jsNode.jsFirebase
Multilingual Audio Sentiment Analyser

Multilingual Audio Sentiment Analyser

A Web-App that analyses a person's voice in any language, and predicts the person's current behavioral mood.

PythonNLPHTML

Skills

Tools &
technologies.

Languages

Python
Python
Java
Java
C++
C++
JavaScript
JavaScript
TypeScript
TypeScript
SQL
SQL

AI / ML

TensorFlow
TensorFlow
PyTorch
PyTorch
OpenCV
OpenCV
AWS Bedrock
AWS Bedrock
LangChain
LangChain
Scikit-learn
Scikit-learn

Frontend

React
React
Next.js
Next.js
HTML5
HTML5
CSS3
CSS3
Tailwind
Tailwind

Backend

Node.js
Node.js
Express
Express
Spring Boot
Spring Boot
Flask
Flask
FastAPI
FastAPI

Cloud & DevOps

AWS
AWS
Docker
Docker
Jenkins
Jenkins
Git
Git
MongoDB
MongoDB
DynamoDB
DynamoDB

Contact

Let's build something
together.

Sreeram

I'm always open to discussing new projects, creative ideas, or opportunities to be part of something amazing.

GitHub Activity

@sreeram2001
Sreeram's GitHub Contribution Graph


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