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Samhith Kakarla

Intern Software Engineer specializing in developer productivity and data/AI systems

IntuitUC BerkeleyLos Angeles, California1 Years ExperienceIntern LevelWorks On-Site

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About

Internship experience at Intuit building an LLM-grounded QA system for internal microservice data across 100+ microservices, using a graph database approach (evaluated Neo4j and selected AWS Neptune for production alignment). Also has UC Berkeley research experience (including work with Prof. Dawn Song / Berkeley Eye Research Lab) and cross-functional collaboration with bioinformatics/biology teams to deploy software systems on research servers.

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Key Strengths

  • Built an LLM-grounded QA prototype over internal data spanning 100+ microservices
  • Pragmatic architecture selection (evaluated Neo4j vs AWS Neptune; chose based on AWS production fit)
  • Uses PoC-first approach to validate end-to-end behavior before scaling
  • Strong troubleshooting approach for LLM workflows via monitoring/logging and output validation
  • Able to identify data-source/grounding issues causing incorrect LLM answers and iterate via model tweaks/fine-tuning
  • Adapts technical demos to audience expertise; comfortable with expert-level Q&A
  • Cross-disciplinary communicator (worked with biologists/bioinformatics stakeholders to implement needed systems)

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Experience

Software Engineering InternIntuit · May 2024 – Aug 2024internship
Academic InternUniversity of California, Berkeley · Aug 2022 – Dec 2022internship

Education

UC Berkeleybachelor, Computer Science (2025)
UCLAmaster, Artificial Intelligence (2026)

Skills

AgileAlgorithmsAWSCI/CDCC++Data IngestionData StructuresDatabase IndexingDistributed SystemsEnd-to-End TestingGitGoGraphQLHTML

Languages

English

Publications

2 publications

Cystic fibrosis genetic marker predictionComputational biology simulations for Alzheimer's/tau protein reductionFederated reasoning with LLM agents

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EngineeringEngineering in Los Angeles MetroAgileAlgorithmsAWSMicrosoft Azure

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Connect with Samhith

Samhith already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

Already have an account?

Hire with Reval

Find your next great hire

Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

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Samhith KakarlaIntern Software Engineer specializing in developer productivity and data/AI systems