Omkar Ele
About
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Dallas, Texas, United States
Résumé
Jobs
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AI/ML EngineerKPMGJun 2025 - Current (1 year 3 months)Project: KPMG Audit & Due Diligence / Enterprise Risk Analytics • Designed, built, and deployed production-ready GenAI applications using LLMs, accelerating audit and due-diligence evidence review cycles by approximately 30% across financial statements, policies, controls, and deal-room documents. • Productionized end-to-end GenAI use cases, covering model selection, document ingestion, embedding generation, vector retrieval, prompt design, evaluation, API deployment, monitoring, and release governance. • Built a permission-aware Retrieval-Augmented Generation (RAG) platform with engagement-level access controls, RBAC, metadata filtering, and query-time authorization to deliver secure and scalable AI solutions. • Designed and implemented ag- CSr Machine Learning EngineerCiti BankMay 2024 - May 2025 (1 year 1 month)Project: Citi Bank AML / Financial Crimes / Risk & Compliance Analytics • Designed and deployed an LLM-based Investigator Copilot using Large Language Models, RAG, vector search, AML policies, typology libraries, and historical case narratives to provide source-attributed investigative guidance. • Built production-ready GenAI applications using LLMs to summarize transaction activity, extract entities, identify anomaly drivers, create event timelines, and generate standardized investigation narratives. • Implemented short-term memory for active investigation context and long-term memory strategies for reusable case knowledge, analyst feedback, prior decisions, typology patterns, and historical investigation outcomes.
- Machine Learning EngineerCognizantJun 2021 - Dec 2022 (1 year 7 months)Client: Mar’s Tech Sol and Mundipharma • Led production ML delivery for retail and healthcare use cases by designing data-to-model workflows that operationalized predictive analytics into business processes and decision systems. • Built and deployed real-time inference services using FastAPI/Flask, containerized with Docker, serving predictions to downstream applications. • Designed ETL/ELT pipelines to standardize lake data for feature generation and repeatable training datasets; optimized batch scoring with efficient SQL + parallel compute.
- Marketing Data ScientistElsevierFeb 2020 - Jan 2021 (1 year)• Built KPI measurement frameworks, experimentation/causal analysis, and predictive models (segmentation, propensity, forecasting) to improve conversion/retention and marketing efficiency. • Delivered executive BI dashboards in Tableau/Power BI, standardized metric definitions, and automated ingestion/transforms with data-quality validation.
Education
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- Master of Science in Data Science (Focus: AI / ML)University of Texas at ArlingtonJan 2023 - May 2024 (1 year 5 months)