Hello World, I'm

Rishab Vempati

Passionate Software Engineer.

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01.

About Me

I am a Computer Science & Artificial Intelligence student at Purdue University.

With a strong foundation in cloud computing and full-stack development, I specialize in building scalable, AI-driven applications and optimizing high-frequency systems. My experience ranges from architecting enterprise RAG pipelines to engineering financial transaction engines.

Technical Skills

Languages

PythonJavaC++CC#SQLJavaScriptTypeScriptBashShellRHTML/CSS

Frameworks

FastAPIFlaskReactNext.jsNode.js.NETPyTorchScikit-learnPandasNumPyOpenCVTailwind

Developer Tools

DockerKubernetesKafkaRedisGitGitHub ActionsLinuxAzureAWSPostgreSQLMongoDB

Certifications

AWS Certified Cloud PractitionerMicrosoft Azure Fundamentals (AZ-900)

02.

Work Experience

My professional journey.

Ekai

Aug. 2025 – Present

Software Engineering Intern

Remote

Spearheaded the development of an "AI Twin" Enterprise Assistant for Microsoft Teams using Azure and Flask.
Optimized retrieval algorithms to reduce query response time to <2s for 50+ concurrent users, while achieving 100% accuracy on numerical queries via SQL integration.
Architected a scalable RAG pipeline using Model Context Protocol (MCP), Microsoft Graph API, and Vector Databases to index and retrieve context from 10,000+ enterprise documents.

AssetMark

Jun. 2025 – Aug. 2025

Software Engineering Intern

San Francisco, CA

Re-engineered the legacy Enterprise Communication Service using .NET, C#, and SQL to improve scalability.
Scaled system throughput by 300% to process 1M+ daily emails, implementing robust fault tolerance and automated retry policies that guaranteed 99.99% delivery reliability.
Orchestrated an asynchronous event-driven architecture utilizing Azure Service Bus, Dead Letter Queues, and Microservices to decouple dependencies and handle traffic spikes.

Accelera Payments

May 2024 – Aug. 2024

Software Engineering Intern

San Francisco, CA

Engineered a high-frequency financial transaction engine processing $50M+ in daily volume using Kafka.
Optimized Kafka partitions to handle 50k+ daily ISO 20022 payments with sub-millisecond latency, ensuring zero data loss during critical outages via dead-letter mechanisms.
Deployed distributed microservices within CI/CD pipelines, reducing deployment time by 40% and enabling seamless rollbacks.

Cisco Data Science Researcher

Jan. 2024 – May 2024

Undergraduate Researcher

West Lafayette, IN

Led demand forecasting initiatives, analyzing 10TB+ of supply chain data using Scikit-learn and Pandas.
Improved prediction accuracy by 18% for 10k+ SKUs and optimized ETL pipelines to process 5M+ historical records 60% faster than previous benchmarks.
Developed Bayesian Inference models to simulate complex supply chain scenarios, reducing stockout risks by 25%.

03.

Featured Projects

A selection of things I've built.

YourPingMe

A unified AI wrapper and scheduling engine that aggregates major LLM providers to execute complex prompts at user-defined intervals.

PythonPostgreSQLRedisCeleryLLM APIs

Parking Lot Detection

Led the development of a U-Net segmentation model for satellite imagery that automated data ingestion for over 50GB of mapping data.

PythonFlaskPyTorchOpenCVRest APIsDocker

Finnie AI Card Game

A modern web-based 4-player card game with teammate mechanics and real-time turn-based gameplay. Features AI Practice Bot.

ReactWebSocketsTensorFlowPandasGame Logic

Crux

A Chrome Extension that automatically adjusts YouTube playback speed based on content density analysis using AI to optimize viewing efficiency.

FastAPIGemini APIHTML/CSSManifest V3

Personal Portfolio

A high-performance portfolio website featuring 3D interactive elements, responsive design, and modern animations to showcase professional work.

Next.jsTypeScriptTailwind CSSThree.jsReact

04.

Get In Touch

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

Say Hello