Vice President, Data Scientist Lead Resume Luke Acosta Vice President, Data Scientist Lead (303) 555-0186 luke.acosta.ai@example.com linkedin.com/example/lukeacosta Denver, CO 80206 STRENGTHS Governed AI Delivery Built release gates around safety, faithfulness, cost, and access controls; risk partners became regular design collaborators. Research With Purpose Turned papers on prompting and agents into usable experiments; colleagues sought practical guidance during design reviews. Clear Stakeholder Translation Converted model tradeoffs into plain business choices for banking leaders, helping teams agree on priorities and risks. Hands-On Leadership Led a nine-person practice while staying close to code, architecture, reviews, and production support when delivery mattered. Calm Production Judgment Used monitoring, incident plans, and rollback paths during releases; engineering partners valued steady decisions under pressure. SKILLS Generative AI Large Language Models Natural Language Processing Prompt Engineering Retrieval-Augmented Generation Agentic Workflows Content Extraction Semantic Search Question Answering Summarization Recommendations Evaluation Methods Amazon Bedrock Cortex Analyst Machine Learning Operations LANGUAGES English Native 40 Spanish Intermediate 20 MY CAREER 7.8 Years Vice President, Data Scientist Lead at HarborPoint Financial Group (3 Years) Senior Data Scientist at Blue Ridge Capital Markets (2.6 Years) Data Scientist at Crescent Peak Analytics (1.4 Years) Machine Learning Associate at LatticeWorks Solutions (10 Months) SUMMARY Vice President and Data Scientist Lead with eight years of applied experience delivering machine learning, natural language processing , and large language model solutions across financial services operations, analytics, and controls. Advanced computer science training supports hands-on leadership across Amazon Bedrock, Cortex Analyst, Amazon SageMaker, Databricks, Python, PyTorch, pandas, NumPy, and scikit-learn. Leads production programs spanning retrieval-augmented generation , semantic search, content extraction , question answering, summarization, recommendations, and agentic workflows. Builds governed APIs, pipelines, evaluation frameworks, and machine learning operations practices that address accuracy, faithfulness, robustness, latency, cost, safety, and rollback readiness. Trusted by senior leaders, engineers, product teams, risk partners, and commercial banking stakeholders; brings practical judgment, care for users, and enthusiasm for building reliable capabilities that improve service, efficiency, planning, and controls. EXPERIENCE Vice President, Data Scientist Lead HarborPoint Financial Group September 2023 - Present Denver, CO Lead a nine-person data science and applied research practice delivering governed generative artificial intelligence capabilities through Amazon Bedrock and Cortex Analyst for commercial banking planning, service, and control workflows. Led Bedrock and Cortex Analyst programs for commercial banking planning, service, and control workflows. Rolled out retrieval-augmented question answering across policy content using embeddings, vector search, and citations. Established evaluation gates for accuracy, faithfulness, robustness, latency, cost, red-teaming , and safety checks . Partnered with engineering on FastAPI services, pipelines, containers, testing, CI/CD, and operational runbooks. Mentored five data scientists on prompt engineering , tool use, structured outputs , reasoning, and responsible AI. Senior Data Scientist Blue Ridge Capital Markets January 2021 - August 2023 Charlotte, NC Owned machine learning and natural language processing initiatives supporting fixed-income research, portfolio reporting, and service operations across fourteen internal business functions. Built Bedrock extraction services for obligations, dates, and risk language across 1.2 million records. Designed Python retrieval workflows with pandas, NumPy, scikit-learn , indexing, and vector search . Implemented prompt templates , model routing, tool use , and structured JSON outputs for internal APIs. Created SageMaker experiment tracking , model registry , monitoring, drift review, incidents, and rollback procedures. Presented model tradeoffs, risks, latency, cost, and results to investment, engineering, and compliance leaders. Data Scientist Crescent Peak Analytics July 2019 - December 2020 New York, NY Delivered supervised machine learning and natural language processing solutions for asset-management analytics, document intelligence, reporting applications, and client-facing research initiatives. Developed Python pipelines for transaction cleansing, document parsing, embeddings, and indexed retrieval corpora. Compared PyTorch , TensorFlow , pandas, NumPy, and scikit-learn approaches against analyst-labeled evaluation sets. Exposed predictions through tested APIs and scheduled batch processes for reporting applications. Introduced evaluation notebooks measuring precision, recall, faithfulness , latency , and error categories for stakeholders. Studied research on prompting, fine-tuning, retrieval, and agent design; converted findings into practical experiments. Machine Learning Associate LatticeWorks Solutions August 2018 - June 2019 Boston, MA Supported supervised delivery of early machine learning and natural language processing engagements for financial services clients under senior data scientist guidance. Prepared account and market datasets with SQL, Python, pandas , and NumPy validation routines. Built scikit-learn classifiers and similarity searches against curated samples for nontechnical client reviewers. Contributed reusable preprocessing modules, Git workflows, unit tests, and continuous integration checks. Tested chunking, embeddings , retrieval thresholds, and source links within a controlled vector-index experiment. Presented findings, risks, and next steps in concise readouts for project and engineering leaders. PROJECTS Governed Commercial Banking Search 2025 Built a governed search and question-answering capability that connected policy content with clear citations, access boundaries, and measurable evaluation criteria. Agentic Research Assistant 2024 Created a practical agent workflow using structured outputs, tool use, and multi-step reasoning for research and recommendation tasks. LEADERSHIP & AWARDS Responsible AI Implementation Award, HarborPoint Financial Group, 2025 Applied Analytics Innovation Award, Blue Ridge Capital Markets, 2022 Graduate Research Fellowship, Georgia Institute of Technology, 2017 EDUCATION Master of Science in Computer Science Georgia Institute of Technology GPA: 4.0 2018 Atlanta, GA Coursework: Machine Learning, Natural Language Processing, Distributed Systems, Data Mining Bachelor of Science in Statistics University of Massachusetts Amherst GPA: 3.8 2016 Amherst, MA Coursework: Statistical Modeling, Probability, Regression Analysis, Experimental Design CERTIFICATIONS AWS Certified Machine Learning - Specialty 2024 Databricks Generative AI Fundamentals 2025 Snowflake Hands-On Essentials: Cortex 2025 TECHNICAL SKILLS Generative AI Platforms: Amazon Bedrock, Cortex Analyst, Databricks Machine Learning Cloud: Amazon SageMaker, AWS, Snowflake Programming Languages: Python, SQL, JSON ML Frameworks: PyTorch, TensorFlow, scikit-learn Data Science Libraries: pandas, NumPy, SciPy Retrieval Systems: Embeddings, vector search, indexing LLM Methods: Prompt engineering, fine-tuning, agents Evaluation Methods: Accuracy, faithfulness, robustness Software Interfaces: FastAPI, APIs, structured outputs Data Pipelines: Batch jobs, preprocessing, ETL Engineering Practices: Git, testing, code review Delivery Automation: CI/CD, containers, Kubernetes MLOps Controls: Model registry, drift monitoring, rollback Safety Controls: Guardrails, red-teaming, safety checks Financial Domains: Commercial banking, markets, asset management SKILLS Generative AI Large Language Models Natural Language Processing Prompt Engineering Retrieval-Augmented Generation Agentic Workflows Content Extraction Semantic Search Question Answering Summarization Recommendations Evaluation Methods Amazon Bedrock Cortex Analyst Machine Learning Operations PROFESSIONAL AFFILIATIONS Mentor, Financial Services Data Science Fellowship, September 2024 - Present Co-lead, Responsible AI Practitioners Forum, September 2023 - Present Reviewer, Internal Machine Learning Standards Council, January 2022 - Present LANGUAGES English (Native) Spanish (Intermediate) ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. REFERENCES AVAILABLE ON REQUEST
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