Junior Data Scientist specializing in Generative AI and agentic LLM systems
San Jose, CAData Scientist: Generative AI1 years experienceJuniorEnterprise SoftwareSaaSProcurement
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About
LLM/agentic-systems builder who has shipped production tools for investment research and procurement insights, including a company screener that processes thousands of conference-listed companies using FireCrawl + Google Search + Gemini. Demonstrates strong orchestration expertise (LangGraph multi-agent graphs), performance optimization (async/batching to sub-30s), and pragmatic reliability/evaluation practices with stakeholder-friendly UX (real-time cost tracking and model/parameter toggles).
Experience
Data Scientist: Generative AISAP
Generative AI InternNew Rhein Healthcare Investments
Data Science InternFox Entertainment
Machine Learning InternNASA
Education
University of Pennsylvania, School of Engineering and Applied Sciencemaster, Data Science (2025)
Vellore Institute of Technology, School of Computer Science and Engineeringbachelor, Computer Science Engineering in Data Science (2023)
Key Strengths
Built and deployed an LLM-powered investment target research/screening tool for thousands of companies
Scaled multi-step LLM/data-collection pipelines with async parallelization and batching (end-to-end <30s at scale)
Production reliability engineering for LLM workflows (rate limits, API failures, retries, fallbacks)
Designed multi-agent LangGraph systems with clear state transitions, traceability, and structured parsing to reduce hallucinations
Strong evaluation discipline for agents (representative test suites, unit/integration tests, quality + latency metrics, A/B testing)
Effective collaboration with non-technical/executive stakeholders via transparent UI controls, cost visibility, and documentation
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