Sai Praveen Kumar Salapu

Software engineer blending cloud architecture, data storytelling, and AI experimentation.

Software engineer with 3+ years delivering resilient microservices, event-driven systems, and serverless workloads across AWS and GCP. I pair Java/Spring Boot and Python automation with Terraform, data pipelines, and modern frontends to ship observable platforms while experimenting with RAG workflows, AI copilots, and analytics storytelling.

Tempe, AZ
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Portrait of Sai Praveen Kumar Salapu
  • Cloud
  • AI
  • Systems
  • Automation
  • Data
  • Innovation

50+

REST APIs delivered

30%

Release time reduced

3+ yrs

Industry experience

About

A brief about me

I'm a software engineer who enjoys building reliable systems that scale. Over the past 3+ years, I've worked on microservices, AWS-native deployments, and full-stack applications. What keeps me motivated is continuous learning--whether it's sharpening my system design and DSA fundamentals, or exploring how machine learning and AI can complement modern software systems. I also enjoy designing clean, responsive frontends that connect seamlessly to backend services.

What I'm focused on lately

  • Delivered microservices, AWS-native deployments, and full-stack products over the past 3+ years.
  • Practice system design and DSA fundamentals while exploring how ML and AI extend modern software.
  • Design clean, responsive frontends that connect seamlessly to dependable backend services.

Arizona trails

Hiking Arizona trails to recharge and find new perspectives.

Coffee experiments

Experimenting with pour-over recipes and sharing new beans with friends.

Ambient recording

Recording field audio and ambient textures for creative breaks.

What I Do Best

Engineering reliable experiences across the stack

I design scalable software, architect resilient cloud platforms, craft responsive frontends, and keep delivery pipelines humming.

Software Development

Shipping reliable backend services that stay scalable and maintainable.

  • Design and build scalable microservices and REST APIs (Java, Spring Boot, Flask).
  • Apply DSA and system design principles to craft efficient, fault-tolerant solutions.

Cloud Architecture

Designing AWS and GCP architectures with automation, security, and scale built in.

  • Deploy workloads across AWS and GCP using automation, security, and scalability best practices.
  • Architect serverless, event-driven, and containerized designs to support high availability.

Frontend Development

Building responsive interfaces that connect seamlessly to backend services and data workflows.

  • Build modern, responsive UIs with React, Angular, and TypeScript.
  • Implement component-driven design, state management, and API integrations.
  • Optimize performance with lazy loading, caching, and accessibility best practices.

DevOps & Reliability

Automating delivery pipelines and observability so releases stay fast, safe, and traceable.

  • Automate CI/CD pipelines and IaC workflows (Terraform, Jenkins, GitHub Actions).
  • Enhance observability with CloudWatch, Dynatrace, and New Relic.
  • Leverage AI coding assistants (GitHub Copilot, ChatGPT) to boost productivity, testing, and prototyping.

What I'm exploring now

AI Chatbots

Building an LLM-powered chatbot for predicting early diabetes and recommending personalized next steps.

RAG Models

Experimenting with Retrieval-Augmented Generation (RAG) to summarize technical documentation and ease developer workflows.

AI in Engineering Pipelines

Applying ML to backend platforms, including NLP-based APIs and recommendation systems.

Data Visualization

Designing interactive Tableau stories on U.S. economy trends by combining macroeconomic datasets with visual narratives.

Cloud Expansion

Deepening skills in Google Cloud Platform (GCP) alongside AWS.

System Design Growth

Scaling distributed systems with event-driven architectures and high availability patterns.

Experience

Guiding enterprise teams through modernization and cloud adoption

From Spring Boot services to AWS-native tooling, I focus on practical solutions that improve velocity, reliability, and customer trust.

Sep 2022 - Dec 2023

Accenture

Software Engineer

Impact

Led backend development for enterprise platforms, owning Spring Boot microservices and reliability improvements across AWS infrastructure.

  • Developed and maintained 50+ REST APIs in Java Spring Boot to support high availability use cases.
  • Boosted API performance with Redis caching and targeted SQL tuning for throughput-critical paths.
  • Built Jenkins and GitHub Actions CI/CD pipelines that reduced release time by 30%.
  • Containerized services with Docker and deployed to Amazon EKS for consistent, reliable releases.
  • Partnered with PM and QA teams in Agile sprints to deliver features on time and within quality bars.
JavaSpring BootAWSRedisDockerKubernetesJenkinsGitHub Actions

Aug 2020 - Aug 2022

Accenture

Associate Software Engineer

Impact

Supported global clients by automating AWS environments, tuning services for scale, and strengthening operational readiness.

  • Automated AWS provisioning with CLI scripts and Terraform, reducing environment setup time and errors.
  • Implemented load balancing and auto scaling for EC2 fleets to improve system throughput and reliability.
  • Developed backend utilities in Java and AWS Lambda to process large datasets securely.
  • Wrote JUnit and integration tests that increased code quality and prevented regressions.
  • Provided production support using CloudWatch, Dynatrace, and New Relic for proactive monitoring.
JavaAWSTerraformLambdaJUnitCloudWatchDynatraceNew Relic

Education

Academic foundations that keep my engineering sharp

Graduate and undergraduate programs where I deepened software, data, and cloud skills.

Jan 2024 - Dec 2025

Master of Science in Information Technology

Arizona State University

Information technology with emphasis on cloud platforms, machine learning, and data systems.

  • Maintaining a 4.0 GPA while balancing graduate research and industry consulting projects.
  • Exploring advanced coursework in distributed computing, machine learning, and data engineering.

Jun 2016 - Jun 2020

Bachelor of Technology in Computer Science

GITAM University

Computer science fundamentals, algorithms, and software engineering.

  • Graduated with a 3.4 GPA while leading peer programming study groups.
  • Collaborated on capstone projects focused on scalable web services and data pipelines.

Selected Work

Projects that blend security, data, and automation

Each initiative is driven by measurable improvements in performance, reliability, or developer experience.

Cloud Architecture

Secure Serverless File-Sharing Platform

Designed a secure, serverless file-sharing application with AWS Lambda, API Gateway, and Amazon S3.

Implemented end-to-end AES-256 encryption and resumable 1GB uploads that cut latency for distributed users.

AWS LambdaAPI GatewayAmazon S3TerraformAES-256
Backend Engineering

Book Recommendation API + UI

Built a Flask API powered by TF-IDF and cosine similarity with a React frontend to deliver tailored book picks.

Redis caching reduced response latency by 30% while the interactive UI kept a 500-book catalog relevant.

PythonFlaskAWS EC2RedisReact
AI & ML

AI Chatbot for Early Diabetes Prediction (Ongoing)

Designing an AI assistant that predicts early diabetes risk from lifestyle and wellness inputs.

Integrates LLM prompts with ML classifiers to surface risk scores and personalized next steps.

Pythonscikit-learnLangChainOpenAI API
Developer Productivity

RAG Documentation Summarizer (Ongoing)

Building a retrieval-augmented generation workflow that ingests large documentation sets for instant answers.

Combines embeddings, vector search, and Q&A prompts so developers can digest dense technical references faster.

PythonLangChainVector StoreOpenAI API
Data Visualization

Tableau Story - U.S. Economy Trends

Developed an interactive Tableau narrative exploring GDP, inflation, and employment indicators.

Highlighted correlations for academic and research exploration through guided visual storytelling.

TableauPandasData Storytelling

Certifications

Credentials that keep my cloud chops sharp

Credly verified badges plus training programs that reinforce my AWS, architecture, and ML depth.

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Toolbox

Technologies and practices I rely on

My focus is to keep growing as a software engineer by blending strong computer science fundamentals with modern cloud platforms, NoSQL databases, and AI-driven engineering. I aim to deliver scalable, intelligent platforms while experimenting with RAG models, LLM integrations, and AI copilots to push developer productivity.

Languages

Strong fundamentals across application and scripting stacks

JavaPythonSQLJavaScriptTypeScript

Frontend

UI stacks for responsive, accessible experiences

ReactAngularHTML5CSS3Tailwind

Frameworks & Libraries

Backend and data frameworks I reach for most

Spring BootFlaskHibernate

Cloud & Infrastructure

AWS and GCP services automated with Terraform

AWS EC2AWS S3AWS RDSAWS LambdaAWS EKSAWS Route 53AWS CloudFrontAWS SQSAWS SNSGCP Compute EngineGCP Cloud RunGCP BigQueryTerraform

Databases

Relational and NoSQL engines supporting varied workloads

MySQLMongoDBRedisDynamoDBOracle

DevOps & Automation

Pipeline, container, and IaC tooling for faster releases

DockerKubernetesJenkinsGitHub ActionsAnsibleInfrastructure as Code (IaC)

AI & Data

ML, analytics, and LLM tooling for intelligent features

Scikit-learnTensorFlowPandasNumPyJupyterStreamlitLangChainOpenAI APIs

Monitoring & Observability

Platforms that keep systems transparent and measurable

CloudWatchDynatraceNew RelicGrafana

AI Coding & Productivity

Assistive tools that accelerate prototyping and testing

GitHub CopilotChatGPTVS CodeIntelliJ IDEAPyCharmPostmanSwaggerNotionJiraServiceNow

System Design

Architecture patterns for resilient, high-availability systems

MicroservicesREST APIsEvent-Driven SystemsDistributed ArchitecturesServerlessHigh Availability

Journey

Milestones along my engineering path

I pursue roles where backend craftsmanship, cloud automation, and continuous learning intersect.

  • Cloud-first engineer

    2020

    Automated AWS infrastructure with Terraform and CLI tooling, laying the groundwork for scalable deployments.

  • Microservices in production

    2022

    Delivered Spring Boot services and caching strategies that powered high availability enterprise platforms.

  • Platform reliability champion

    2023

    Optimized CI/CD pipelines, observability, and Kubernetes deployments to cut release cycles and outages.

  • Graduate innovation spark

    2024

    Pursuing a 4.0 GPA at ASU while applying AI, ML, and data engineering concepts to real-world projects.

Next

Ready to build your next platform

Whether you need resilient APIs, AWS modernization, or a steady DevOps partner, I am ready to help.

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