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Krisha Patel

Entry-Level Software Engineer specializing in AI/ML and Full-Stack Development

United StatesAI/ML Engineer0 years experienceEntry-LevelRetailArtificial IntelligenceMachine Learning
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About

Backend engineer who built an NL-to-SQL system at Target, using a multi-step LLM pipeline with vector-store schema retrieval and SQL validation to safely answer business questions. Strong in production FastAPI systems (async, Pydantic, Docker/Uvicorn, load balancing) and security (OAuth2/JWT, scopes, and database row-level security), with experience migrating Flask apps to FastAPI + PostgreSQL using strangler/feature-flagged canary rollouts.

Experience

AI/ML EngineerTarget Corporation

Education

University at Albany, State University of New Yorkbachelor, Computer Science (2025)

Key Strengths

  • Designed and built an NL-to-SQL backend pipeline with validation and safe execution for non-technical users
  • Balances accuracy vs latency using tuned retrieval (vector store) and focused prompt chains
  • Production-minded API engineering in FastAPI (validation, modular routing, middleware, async dependencies)
  • Mitigates abuse/performance issues with rate limiting (SlowAPI) and Redis-backed scaling
  • Led backend refactor/migration from Flask + in-memory to FastAPI + PostgreSQL with Alembic
  • Risk-managed rollouts using strangler pattern, feature flags, and canary releases
  • Implements defense-in-depth security with OAuth2/JWT, scopes, and database-enforced RLS
  • Identifies and mitigates edge cases (e.g., ambiguous business definitions like fiscal vs calendar quarters) to protect data trust

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Contact

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Languages

English

Skills

.NETAlgorithmsAngularAPI TestingAWS EC2AWS S3BootstrapCC#C++Cloud ComputingCommand LineCryptographyData PreprocessingData Structures