Hi, my name is

Hemanth Raju Koneti

AWS Cloud Developer & Full-Stack Engineer

Building scalable cloud solutions and AI-powered applications at ASU Cloud Innovation Center. Master's student with perfect 4.00 GPA, ex-Oracle engineer, and passionate about leveraging cloud technology to solve real-world problems.

AWS Certified
Open to Spring 2026 Internships

About Me

Get to know me better

Hemanth Raju Koneti

Building the Future with Cloud & AI

Currently working as an AWS Cloud Developer at ASU Cloud Innovation Center, where I lead the development of cutting-edge AI/ML and cloud solutions for enterprise clients.

With over 3+ years of experience in software engineering, I've had the privilege of working at Oracle Cerner, building healthcare systems that impact thousands of practitioners daily.

I'm pursuing my Master's in Computer Science at Arizona State University with a perfect 4.00/4.00 GPA, focusing on cloud computing and artificial intelligence.

Location

Tempe

Email

hkoneti@asu.edu

Experience

My professional journey

AWS Cloud Developer

ASU Cloud Innovation Center

Apr 2025 - PresentScottsdale, Arizona

Leading cloud architecture and AI/ML solution development

  • Led end-to-end delivery of AI/ML and cloud projects, researching and selecting optimal AWS services (Bedrock, SageMaker, Lambda, DynamoDB) tailored to diverse enterprise client needs
  • Built full-stack cloud solutions using Infrastructure as Code (CloudFormation/Terraform), API-driven backends, and responsive frontends with React and Streamlit
  • Designed and deployed scalable, cost-effective AWS architectures, ensuring fast integration into client environments and earning direct client commendations
  • Reduced release cycles from 7 days to 24 hours by automating CI/CD pipelines with CodeCommit, CodeBuild, and CodeDeploy, increasing deployment velocity 6×
AWS
React
Python
Terraform
CloudFormation
CI/CD
Lambda
DynamoDB
Bedrock
SageMaker

Software Engineer

Oracle Cerner

May 2021 - Jul 2024Bangalore, India

Developed enterprise healthcare applications with 100% compliance

  • Delivered code for healthcare applications, maintaining a 100% compliance rate with safety and regulatory standards
  • Developed and maintained Java-based microservices using Spring Boot, powering backend systems for critical radiology workflows in enterprise healthcare applications
  • Collaborated with cross-functional teams of engineers, clinicians, and product managers to support operations logistics and deliver project updates
  • Streamlined reporting processes by generating automated status reports using Python, Java, and Excel, improving stakeholder communication efficiency by 25%
  • Played a key role in backend modernization efforts, contributing to a faster, more reliable radiology system used by thousands of practitioners daily
Java
Spring Boot
Python
Microservices
Healthcare
SQL
REST APIs

Education & Certifications

Academic excellence and professional credentials

Master of Science

Computer Science

Arizona State University

Aug 2024 - May 2026
GPA:4.00/4.00

Perfect GPA with focus on cloud computing and AI/ML

Key Coursework:

Cloud Computing
Distributed Systems
Machine Learning
Software Engineering
Data Structures & Algorithms
Exceptional GPA

Bachelor of Engineering

Information Science Engineering

Visvesvaraya Technological University

Aug 2017 - May 2021
GPA:9.07/10.0

Strong foundation in computer science and software engineering

Key Coursework:

Data Structures
Database Management
Operating Systems
Computer Networks
Web Technologies

Professional Certifications

AWS Solutions Architect

Amazon Web Services

Expertise in designing distributed systems on AWS

2025

AWS Cloud Practitioner

Amazon Web Services

Foundational understanding of AWS Cloud

2025

Data Analytics Consulting Virtual Internship

KPMG

Data analysis and business consulting skills

2024

Skills & Technologies

The tools I work with

Languages

Python
JavaScript
TypeScript
Java
SQL
HTML/CSS

AI/ML

LLM Models
NLP
AWS Bedrock
Amazon Q Business
RAG Systems
Computer Vision

Frontend

React
Next.js
Tailwind CSS
Streamlit

Backend

Node.js
Express
Spring Boot
FastAPI
REST APIs
Microservices

Databases

MongoDB
DynamoDB
MySQL
PostgreSQL

Cloud & DevOps

AWS
EC2
S3
Lambda
Docker
Kubernetes
Terraform
CI/CD
Git
Jenkins

Other Tools

Kafka
API Development
Agile/Scrum

Featured Projects

Showcasing my best work

Bilingual AI Chatbot: Crohn's & Colitis Foundation

AI/ML

Bilingual conversational AI chatbot enabling patients, caregivers, and healthcare providers to access trusted information about inflammatory bowel disease (IBD). Reduces navigation complexity with instant responses and human follow-up for out-of-scope questions.

Key Features:

  • Bilingual support (English & Spanish)
  • Trusted IBD information access
  • Reduced navigation complexity
AWS
CloudFormation
AWS Databases
AI/ML
NLP
Lambda
API Gateway
Bilingual NLP

Knowledge Bot - Disability Rights Texas

AI/ML

AI chatbot with Amazon Q Business reducing legal inquiry load by 40%+. Enables 24/7 access to legal rights info for 10K+ users in English and Spanish with improved clarity through citations and simplification.

Key Features:

  • 40%+ reduction in legal inquiry load
  • 24/7 access to critical legal resources
  • 10K+ users served
AWS Q Business
S3
Lambda
API Gateway
AI/ML
NLP
Python

Credit Card Reader Using Facial Recognition

18 stars
AI/ML

Face recognition service with 99.8% LFW accuracy using DeepFace library. Deployed on EC2 with auto-scaling and reduced spoofing attacks by 70% through liveness detection with temporal CNN.

Key Features:

  • 99.8% accuracy on LFW dataset
  • 70% reduction in spoofing attacks
  • Liveness detection with temporal CNN
Python
DeepFace
AWS EC2
Computer Vision
CNN
TensorFlow
OpenCV

AI-PPT-Generator

AI/ML

AI-powered PowerPoint generator using Amazon Bedrock (Claude & Nova Canvas). Automatically creates professional presentations with AI-generated content and images using AWS Lambda and S3.

Key Features:

  • Automated content generation
  • AI-generated images with Nova Canvas
  • Professional template design
Python
AWS Bedrock
Lambda
S3
Claude AI
Nova Canvas
Generative AI

RAG Visualizer

AI/ML

Interactive demonstration of Retrieval-Augmented Generation (RAG) pipeline. Visualizes document processing through chunking, embedding, vector DB storage, and intelligent querying with real-time pipeline tracking.

Key Features:

  • Real-time pipeline visualization
  • Document chunking demonstration
  • Embedding generation display
TypeScript
React
Vector DB
Embeddings
RAG
Next.js
Tailwind CSS

Get In Touch

Let's discuss opportunities or collaborate on projects

Send Me a Message

Contact Information

Location

Tempe, Arizona, United States