Harshitha Kamma.
ABOUT

Harshitha Kamma.

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I’m a software engineer at CCC Intelligent Solutions, building enterprise systems in Java and Spring Boot. UT Dallas graduate, based in Chicago.

For the past three years I’ve worked on the systems behind vehicle valuations in the automotive and insurance space. Billing features, vendor data pipelines, and the database migrations that keep them fast. Work I’ve shipped supports $2M in annual revenue and brought p90 API response times from over two seconds to under 300ms.

My graduate work at UT Dallas covered machine learning, physics simulation, computer graphics, graph algorithms, and classical AI. Every project on this site has inline live demos. Nothing is a screenshot, you can run all of it right in the browser.

Education
MS Computer Science
The University of Texas at Dallas
Aug 2022 to May 2024
BTech Computer Science
Vignan's Foundation for Science Technology and Research
Aug 2018 to May 2022
Skills
Languages and Databases
Java Python JavaScript SQL PostgreSQL Oracle Redis
Frameworks and Tools
Spring Boot JPA React.js Hibernate Docker Kubernetes Jenkins GitHub Actions
GenAI Tools
Cursor Claude Code Copilot
EXPERIENCE

Three years at CCC Intelligent Solutions.

Enterprise systems in Java and Spring Boot. Automotive and insurance valuations, vendor integrations, microservice consolidation, and database migrations at production scale.

Software Engineer

CCC Intelligent Solutions Inc.. Chicago, IL.
May 2024 to Present
  • Designed and built electric vehicle billing so the platform can value EVs from makers like Tesla, replacing a manual classification step, cutting classification errors, and supporting $2M in annual revenue.
  • Delivered the Exclusive Packages feature, the business logic that lets customers calculate and post commercial and recreational vehicle valuations, with 15% fewer valuation errors.
  • Built a fee configuration system used by 100+ enterprise clients. Each company presets its fee indicators for every US state and sees them reflected live in generated PDF reports.
  • Tuned database queries and JPA logic during the Oracle to PostgreSQL migration, taking roughly 500ms off average API response time and 20% off infrastructure costs.
  • Built a fault tolerant loader for the 50+ GB of vendor vehicle data (mileage, make, model) that arrives daily. Processing is 45% faster, with integrity checks that protect valuation accuracy.
  • Mentored a software engineering intern through code reviews and sprint planning, helping them ship two features.

Associate Software Engineer

CCC Intelligent Solutions Inc.. Chicago, IL.
May 2023 to May 2024
  • Integrated vendor APIs like the Yassi DMV API behind a database cache, cutting external API calls and their costs by 40% and bringing p90 response time from over 2000ms to under 300ms.
  • Consolidated legacy REST APIs into a single microservice on Spring Boot and Hibernate, deployed with Docker and Rancher, leaving about 30% less code to maintain.
  • Resolved customer reported P1 production issues while holding 99.9% uptime. Incidents dropped 10% and customer satisfaction scores rose 15%.
  • Built a GenAI chatbot for automated customer inquiries with my team during a three day hackathon.
PROJECTS

Seven projects, twenty interactive demos.

Graduate work at UT Dallas across machine learning, snow simulation, real time 3D graphics, graph algorithms, and classical AI, plus web fundamentals and a data streaming pipeline. Every project page has live demos that run right in the browser. Open one and try them.

01. MACHINE LEARNING

Four classifiers, no servers.

Four classifiers built from scratch, from n gram smoothing to a CNN + LSTM captioner, with the trained models exported to ONNX and TensorFlow.js so inference runs entirely in your browser.

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02. SNOW SIMULATION

Snow as a fracturing continuum.

The Material Point Method implemented from scratch in Rust, in both two and three dimensions, compiled to WebAssembly so you can throw snowballs at walls in your browser.

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03. INTERACTIVE 3D GRAPHICS

Seven stages, one rendering pipeline.

A semester long progression through real time 3D graphics, ported from C++ and OpenGL to three.js so every stage runs in your browser, from a basic shader to a fully lit skeletal scene.

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04. GRAPH ALGORITHMS

Structural analysis on Facebook.

Three graph algorithms from a big data assignment ported to TypeScript, moving from descriptive statistics on a real social graph to structural decomposition to reliability under random edge failure.

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05. CLASSICAL AI SOLVERS

Search, with the lights on.

Two classical search based AI techniques ported from Java to TypeScript with interactive editors. Backtracking with forward checking for constraint satisfaction, and resolution refutation for propositional SAT.

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06. TRAVEL BOOKING

One site, four eras of the web.

A travel booking site built across four milestones, moving from static HTML to scripted validation to a client side cart to server side authentication on Workers and D1.

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07. KAFKA STREAMING PIPELINE

Live comments in, trending entities out.

A fully containerized streaming stack that pulls live Reddit comments through Kafka into Spark Structured Streaming, extracts named entities with NLTK, and indexes them into Elasticsearch for Kibana, with an on demand run you can trigger right on this page.

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CONTACT

Say hello.

Open to senior software engineering roles. Reach out by email or LinkedIn.

EMAIL
[email protected]
LINKEDIN
linkedin.com/in/harshithakamma
GITHUB
github.com/KammaHarshitha
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