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Jeet Choksi

Mid-level Machine Learning Engineer specializing in real-time AI and data platforms

New York, NYSoftware Engineer – Machine Learning3 years experienceMid-LevelTechnologyMachine LearningArtificial Intelligence
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About

ML/NLP engineer who has built production systems end-to-end: a real-time recommendation platform (100k+ profiles) using BERTopic-style clustering and a RAG-based news summarization/recommendation stack with ChromaDB. Strong focus on scaling and reliability (GPU batching, Redis caching, Kafka ingestion, Docker/Kubernetes, Prometheus/Grafana) and on maintaining model quality over time via drift monitoring and retraining triggers.

Experience

Software Engineer – Machine LearningMyEdMaster, LLC
Graduate Research Assistant – Data ScienceUniversity of Colorado Boulder
Data Scientist InternAIBRT
Software EngineerConverge IT Solutions
Data ScientistMyEdMaster, LLC
Research Analyst – Data ScienceUniversity of Colorado Boulder
Data ScientistConverge IT Solutions

Education

University of Colorado Bouldermaster, Data Science (2025)
University of Mumbaibachelor, Information Technology (2023)

Key Strengths

  • Built and productionized ML/NLP recommendation system processing 100k+ user profiles
  • Deep expertise in topic modeling pipeline design (Sentence-BERT + UMAP + HDBSCAN/BERTopic)
  • Scaled embedding generation with batching and GPU acceleration
  • Reduced latency by 25%+ via Redis caching
  • Production-grade MLOps/observability (Docker/Kubernetes + Prometheus/Grafana monitoring)
  • Handled topic drift with monitoring and retraining triggers based on distribution-shift thresholds
  • Entity resolution combining rule-based matching with embedding-based fuzzy matching and validation heuristics
  • Improved search relevance using vector DB retrieval (ChromaDB), contrastive fine-tuning, and cross-encoder re-ranking
  • Pragmatic prototype-to-production decision-making using metrics stability, user feedback, and cost/throughput constraints

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Languages

English

Skills

PythonSQLMySQLPostgreSQLRJavaC++ScalaGoPyTorchTensorFlowscikit-learnLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)LangChain