Shubham Shetty

About

I'm a software engineer and graduate student in Computer Science at UMass Amherst, focused on database systems and systems for deep learning. I spent close to three years at JPMorgan Chase building backend services, data pipelines, and a natural language to SQL interface used across the firm's data lake. I built KodaDB, a relational database engine written from scratch in C++17, and this site runs on it. I'm interning at C3.ai now and join AWS Redshift's query planning team this fall.

Certifications
AWS Solutions Architect
Databases
PostgreSQL · MySQL · Firebase · Firestore
Frameworks
PyTorch · PySpark · Spring Boot · Flask · Django · Pandas · LangChain · LangGraph · Node.js · React · Next.js
Infrastructure
Linux · AWS · Git · Docker · Terraform · Jenkins · CI/CD · Spinnaker
Languages
Python · C++ · Java · JavaScript · TypeScript · Go · Bash · SQL

Projects

KodaDB

Featured

A persistent relational database built from scratch in C++17.

Database internals with a live SQL shell

CacheBlendPlus

Featured

Faster LLM serving for RAG by extending CacheBlend with semantic-aware KV cache reuse.

Semantic KV cache reuse for faster RAG inference

TaskBell

A free, local-first tool that pings you on your phone when an AI coding agent finishes, errors, or needs an answer.

Two-way notifications for AI coding agents

Wanderwall

An NFC-powered travel gallery that turns a fridge magnet tap into a spinning globe flight and a photo gallery.

A globe that flies to your next trip

Experience

  • Incoming Software Engineer Intern · AWS Redshift

    Sep 2026 — Nov 2026

    Palo Alto, CA

    • Working on query and planning optimization inside the C++ and Python codebase that powers Redshift's query planner.

  • Forward Deployed Engineer Intern · C3.ai

    Jun 2026 — Aug 2026

    Redwood City, CA

    • Engineering a Premise Awareness feature for a San Mateo law enforcement platform, fusing data across 16 police departments so first responders see hazards, photos, and prior incidents before arriving on scene.

  • Software Engineer II · JPMorgan Chase

    Jan 2024 — Jul 2025

    Mumbai, India

    • Developed and deployed a GPT-4 powered natural language to SQL interface that let non-technical users query complex data lake schemas, cutting analytics turnaround time by 70%.
    • Spearheaded ETL pipelines on AWS using PySpark and Pandas, processing data from 85+ sources and over 20GB daily, saving $150K+ a year by decommissioning legacy workflows.
    • Engineered a reusable data ingestion framework supporting multiple sources and formats on AWS Lambda, Glue, and S3, cutting onboarding time for new data sources by 80%.
    • Architected the backend using Spring Boot with Aurora PostgreSQL on AWS ECS, building REST APIs for 10,000+ production users and optimizing database queries for performance.
    • Engineered a blue-green deployment strategy for ECS services with Terraform and Spinnaker, enabling zero-downtime deploys and rollback for critical production workloads.
    • Built a user-facing dashboard with Java Spring Boot and ReactJS on AWS ECS, using AWS ElastiCache for caching to support 1,000+ active users.

  • Software Engineer I · JPMorgan Chase

    Aug 2022 — Dec 2023

    Mumbai, India

    • Promoted to Software Engineer II in 18 months, in the top 3% of new hires globally, for high impact on critical data lake initiatives.
    • Built a data lineage tracking solution for the data lake using AWS Neptune, improving data quality and observability and cutting compliance audit time by 40%.
    • Authored a technical primer on using Liquibase for Redshift that drew over 700 unique visitors in 3 months and improved team knowledge.

Contact