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AP
Aneri Patel
Junior Machine Learning Engineer specializing in LLM fine-tuning and semantic retrieval
Washington, D.C.Machine Learning Engineer – LLM Fine-tuning – Semantic Retrieval2 years experienceJuniorTechnologyArtificial IntelligenceLegal
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About
Backend engineer with legal-tech and AI workflow experience: built JurisAI, an end-to-end legal research system using OCR + embeddings + Pinecone vector search to deliver citation-grounded LLM answers with safe failure modes (~90% recall@K). Also led a GW Law metadata migration into Caspio with batch validation and parallel rollout, and has strong FastAPI/GCP production reliability and observability practices.
Experience
Machine Learning Engineer – LLM Fine-tuning – Semantic RetrievalEnquire AI, Inc.
Graduate Research Assistant – Data Ingestion – LLM Integration – Workflow OptimizationThe George Washington University Law School
Machine Learning Intern – Model Development – Hyperparameter Tuning – Model OptimizationInfotrend Inc.
Data Analyst – Data Analytics – Trend Analysis – DashboardingThe Coaching Academy
Education
The George Washington Universitymaster, Data Science (2025)
Gujarat Universitybachelor, Artificial Intelligence and Machine Learning (2023)
Key Strengths
- Designed end-to-end legal research RAG backend with OCR-to-vector pipeline
- Built citation-grounded QA with safe failure behavior when context is missing
- Achieved ~90% recall@K on internal retrieval evaluations
- Scalability via separating ingestion from query path with async background jobs and caching
- Production API reliability practices: standardized errors, timeouts/retries, fallbacks, observability (structured logs, request IDs, health checks, alerts)
- Led incremental data migration with relational schema design, batch validation, rollback option, and parallel run rollout
- Identified LLM edge cases (scoring incomplete reports) and hardened prompts with explicit failure conditions and structured outputs
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