Available for opportunities!

Rishabh Pandey

Software Engineer building scalable solutions for the web and AI. Currently crafting contact center technology at GEICO :)

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About Me

Passionate about building the future of technology

I'm a software engineer with a passion for building cloud-native services and AI-driven applications. I graduated with a B.S. in Computer Science from Purdue University in December 2024, and I love tackling real-world problems across industries and collaborating on impactful projects.
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Rishabh's Profile Photo

Rishabh

Software Engineer @ GEICO

📍
San Francisco, CA
💼
~1 YOE
🎯
AI & Cloud
🌟
Product-focused

Experience

My journey building scalable solutions across different industries

Software Engineer I

Jan 2025 - Present
  • Building scalable contact center tech on AWS
  • Built Python AWS Lambda services to normalize contact events, batch-write to DynamoDB with QLDB backend—processing ~300-500 events/min
  • Shipped Amazon Connect queue observability streaming ~800-900 queues, cutting runtime ~12% in ~10s and adding a Redis cache layer
  • Refactored Terraform modules with least-privilege IAM and standardized shared OLAP, CI/CD, and structured logging

Software Development Intern

GEICO
Jun 2024 - Aug 2024
  • Deployed JupyterHub on Azure Kubernetes Service with Spark + ADLS integration, cutting Snowflake costs by ~25%.
  • Built custom Jupyter shortcuts to streamline data access for 100+ users.

AI/Software Intern

Agrofocal Technologies
Aug 2023 - Dec 2023
  • Conducted error analysis of 1000s images for TensorRT models and improved yield predictions using Numpy, Matplotlib, and Scikit-Learn.
  • Created automation scripts using OpenCV and Tkinter for efficient manual annotation.

Software Engineering Intern

Texas Instruments
May 2023 - Aug 2023
  • Created an Oracle application for managing licenses across 250+ products.
  • Integrated 10Duke REST API to reduce customer data lookup from hours to seconds.

Projects

Building innovative solutions with modern technologies

AI • Web

LinkedIn Interview Agent

Agentic interview platform: Job description parser, resume scorer (BERT + TF-IDF), conversation tree manager (FAISS), adaptive question generation, and structured tagging for latency and cost optimization.

Tech Stack: FastAPI, React, GPT-4, FAISS, scikit-learn
GitHub
Cloud • Backend

AWS Contact Center Analytics

Scalable contact center solution: Real-time queue metrics, agent performance tracking, automated alerts system with EventBridge, and DynamoDB data aggregation for comprehensive analytics and reporting.

Tech Stack: AWS Lambda, DynamoDB, EventBridge, Node.js, Terraform
View Project GitHub
Data • ML

Insurance Coverage Extractor

AI-powered document processing: OCR for driver's license extraction, coverage limits mapping with vector similarity search, and LLM-based data structuring for automated insurance workflows.

Tech Stack: Python, Streamlit, OpenAI, FAISS, OCR, Pandas
View Project GitHub

Skills

Technologies and tools I work with

Programming Languages

Cloud & Infrastructure

Databases & Storage

AI & Development