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MP
Manvi Panjwani
Mid-level Machine Learning Engineer specializing in cloud, governance automation, and distributed systems
San Francisco, CAMachine Learning Engineer4 years experienceMid-LevelTechnologyMachine LearningTelecommunications
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About
Governance engineer intern at GSK who built policy-as-code automation using Open Policy Agent/Rego integrated into GitHub CI/CD and Terraform workflows. Also built and shipped a voice-enabled expense tracking app using speech-to-text + LLM structured extraction with strong validation, retries, and semantic guardrails, and designed the supporting PostgreSQL data model with performance-focused indexing.
Experience
Machine Learning EngineerSoftmax
Governance Engineer InternGlaxoSmithKline
Associate Software EngineerNokia
Graduate Engineer Trainee InternNokia
Data Science Project Lead InternTechnocolabs Software
Education
Clark Universitymaster, Computer Science (2025)
Amity Universitybachelor, Computer Science (2022)
Key Strengths
- Translated ambiguous governance requirements into correct, testable policy-as-code (OPA/Rego)
- Designed robust LLM extraction pipeline with strict schema prompting plus validation/repair loops
- Agent-style workflow design separating LLM planning from deterministic execution and business rules
- Production reliability patterns: bounded retries/backoff, error classification (transient/structural/semantic), and user escalation paths
- AI guardrails and operations: trace IDs, structured event logging, metrics (fallback/retry/validation failures), and curated regression sets
- PostgreSQL schema design aligned to query patterns; improved performance via composite indexing for summary/browse queries
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