Sravya Kakumani

Hi, my name is

Sravya Kakumani

I build AI-powered mobile & web applications.

Software engineer specializing in building exceptional digital experiences. Currently shipping production-grade applications as a Founding Software Engineer at WHYS AI.

Resume

Where I've Worked

Founding Software Engineer @ WHYS AI

Sep 2025 – PresentBoca Raton, FL
  • ▹Shipped a production-grade React Native (mobile, Expo, TypeScript) and React (web) application featuring real-time audio analysis, translating Figma designs into a pixel-perfect custom UI system.
  • ▹Implemented JWT-based authentication and OAuth 2.0 authorization to securely manage user access across mobile and backend services.
  • ▹Orchestrated an end-to-end speech pipeline by benchmarking transcription and speaker diarization models, integrating speaker recognition to achieve 91% combined accuracy.
  • ▹Built a resilient Node.js + PostgreSQL backend supporting asynchronous background jobs and presigned S3 uploads, ensuring data integrity during long-form audio recording.
  • ▹Constructed a conversational RAG chatbot using LangGraph and Pinecone, achieving 90%+ retrieval relevance for long-term user memory queries.
  • ▹Containerized backend services using Docker and implemented CI/CD pipelines for automated build and deployment workflows, improving release consistency.
  • ▹Deployed and managed containerized applications using Kubernetes, supporting scalable and reliable service operations.

Teaching Assistant @ University of South Florida

Jan 2025 – May 2025Tampa, FL
  • ▹Mentored and evaluated 20+ academic projects, providing technical guidance and constructive feedback.
  • ▹Supported students through review sessions and office hours, strengthening communication and interpersonal skills.

Software Engineer @ LBK Soft Tech

Jul 2021 – Dec 2023Kandukur, India
  • ▹Developed a full-stack web application using Java, Spring Boot, and Angular for healthcare data processing and real-time patient record visualization, supporting 1M+ patient records.
  • ▹Designed and integrated RESTful APIs using Spring Boot microservices for secure frontend-backend communication, handling healthcare data with HIPAA-aligned security, supporting 5K+ API requests/day.
  • ▹Built responsive Angular user interfaces using HTML5 and CSS3, including dashboards and data views.
  • ▹Optimized backend queries and frontend rendering, reducing report load time by approximately 40%.
  • ▹Collaborated with cross-functional teams in Agile environments, contributing to 10+ production releases and maintaining clean, maintainable code.

Projects

01.

TCGA Cancer Subtype Classification

ML pipeline for classifying cancer subtypes from RNA-Seq gene expression using Random Forest, SVM & Logistic Regression with 99.4% accuracy.

PythonScikit-LearnPCAPandasMatplotlib
02.

Image Segmentation (U-Net)

Semantic image segmentation using U-Net architecture on CARLA self-driving car dataset, segmenting 23 classes with skip connections.

PythonTensorFlowKerasU-NetFCN
03.

Splitwise Clone

Full-stack expense splitting application with group management, real-time balance tracking, and settlement optimization.

ReactNode.jsMongoDBExpress
04.

AI Speech Intelligence Pipeline

End-to-end speech pipeline with speaker diarization using DiariZen, self-supervised learning for transcription, and speaker recognition achieving 91% accuracy.

PythonPyTorchPyannoteHuggingFace
05.

Portfolio Website

This portfolio — built with Next.js, TypeScript, Framer Motion, and TailwindCSS.

Next.jsTypeScriptFramer MotionTailwindCSS
01.

TCGA Cancer Subtype Classification

ML pipeline for classifying cancer subtypes from RNA-Seq gene expression using Random Forest, SVM & Logistic Regression with 99.4% accuracy.

PythonScikit-LearnPCAPandasMatplotlib
02.

Image Segmentation (U-Net)

Semantic image segmentation using U-Net architecture on CARLA self-driving car dataset, segmenting 23 classes with skip connections.

PythonTensorFlowKerasU-NetFCN
03.

Splitwise Clone

Full-stack expense splitting application with group management, real-time balance tracking, and settlement optimization.

ReactNode.jsMongoDBExpress
04.

AI Speech Intelligence Pipeline

End-to-end speech pipeline with speaker diarization using DiariZen, self-supervised learning for transcription, and speaker recognition achieving 91% accuracy.

PythonPyTorchPyannoteHuggingFace
05.

Portfolio Website

This portfolio — built with Next.js, TypeScript, Framer Motion, and TailwindCSS.

Next.jsTypeScriptFramer MotionTailwindCSS
01.

TCGA Cancer Subtype Classification

ML pipeline for classifying cancer subtypes from RNA-Seq gene expression using Random Forest, SVM & Logistic Regression with 99.4% accuracy.

PythonScikit-LearnPCAPandasMatplotlib
02.

Image Segmentation (U-Net)

Semantic image segmentation using U-Net architecture on CARLA self-driving car dataset, segmenting 23 classes with skip connections.

PythonTensorFlowKerasU-NetFCN
03.

Splitwise Clone

Full-stack expense splitting application with group management, real-time balance tracking, and settlement optimization.

ReactNode.jsMongoDBExpress
04.

AI Speech Intelligence Pipeline

End-to-end speech pipeline with speaker diarization using DiariZen, self-supervised learning for transcription, and speaker recognition achieving 91% accuracy.

PythonPyTorchPyannoteHuggingFace
05.

Portfolio Website

This portfolio — built with Next.js, TypeScript, Framer Motion, and TailwindCSS.

Next.jsTypeScriptFramer MotionTailwindCSS

Publications

Automatic Door Unlock with Facial Recognition Using IoT

Birali Prasanthi, Komirishetty Saiteja, Kakumani Sravya

International Research Journal of Engineering and Technology (IRJET)

Volume 10, Issue 05, May 2023

Engine Oil Impurities and Level Monitoring

Birali Prasanthi, Komirishetty Saiteja, Kakumani Sravya

International Journal of Engineering Sciences & Emerging Technologies (IJESE)

Volume 11, Issue 11, 2023

Tech Stack

Languages

JavaScriptTypeScriptPythonJavaSQLC/C++

Front-end

ReactAngularReact NativeHTML5/CSS3Tailwind CSSTanStack Query

Back-end & APIs

Node.jsSpring BootPrisma ORMPostgreSQLRedisJWT/OAuth 2.0

AI & ML

RAGLangChainLangGraphPineconepgvectorPyTorchTensorFlow

Cloud & DevOps

AWS (S3, EC2)DockerKubernetesCI/CDGitHub ActionsFirebase

Testing & Workflow

TDDUnit TestingIntegration TestingGitAgile/Scrum

Education

Master of Science in Data Intelligence

University of South Florida

Jan 2024 – Dec 2025Tampa, FL

Relevant Coursework

Deep Learning AnalyticsData Mining

Bachelor of Technology in Computer Science and Engineering

Mahatma Gandhi Institute of Technology

Jul 2019 – Apr 2023Hyderabad, India

Relevant Coursework

Data Structures & AlgorithmsDatabase Management Systems

Get In Touch

I'm currently looking for new opportunities and my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!

Say Hello

Built by Sravya Kakumani