Machine Learning Data Engineer

Sam Massaquoi, Jr., Vice President of Technology

Houston, Texas, 914-***-****, ********@*****.*** SUMMARY

Dynamic Sr. Vice President of Technology with over 20 years in numerous capacities as Technical Lead & Operations Manager for large cross-platform teams & proficiency with bleeding edge full-stack technologies. This includes the last 10 years of operational and hands-on experience as Application Owner leading Machine Learning teams and spearheading the development of a Big Data Analytics & ML Workbench in the Public Cloud that enhance elastic cloud computing, data analytics capabilities, predictive modeling, and the adoption and assessments of cutting edge methodologies including LLM, Generative & Agentic AI Workflows, Prompt, Reinforcement & Deep Learning. Proficient in Cloud Solution Architecture & Engineering, MLOps, Terraform (IaC) and Cl/CD solutions. Committed to delivering & leveraging innovative technology solutions to drive strategic business goals, cost savings, and exceptional operational efficiency for organizations. WORK EXPERIENCE

Sr. Vice President Al/ML Corporate Technology, JPMORGAN CHASE New York, USA 01/2017- Present

§ JPMorgan ML/AL Research Institute: Hadoop Cluster Migration to AWS - Successfully spearheaded the operational planning, management, and migration of an on-prem Machine Learning/Big Data-Hadoop, multi-tenant clusters of over 100 Data Scientists to the development of a highly scalable & elastic cloud-compute & robust ML/Al Data Science Analytics Workbench in the AWS Public Cloud, eliminating on-premises data center costs and overages by savings of over 65%.

§ Terraform IaC - Demonstrated hands-on and expert proficiency in Terraform (laC) leading the development (infras) and scaffolding of Virtual Private Cloud environments, including the deployment of all critical cloud and managed services optimized for scalable elastic computing (ASG/EC2, SPARK), storage (Elastic Block Storage, Elastic File Systems, S3), and consumption capacity in the Public Cloud (AWS) as Application Owner of the JPMorgan AI/ML Research Institute (JPMCI). o Databricks - developed IaC and CICD Jenkins Pipeline for Databricks Multi-nodal clusters, Unity catalog, SQL Warehousing for Databricks deployer accounts in UAT, Experiment, and Production Account.

o EMR Controller - Successfully deployed Terraform Infras for AWS EMR/Spark including T- shirt size clusters for standalone & batch ML Spark Jobs, Web UI for LIVY APIs/Historical logs. o Glue, Athena – successfully deployed IaC for Glue data schema/meta store to AWS Data Catalogs, including crawler (S3) for Athena data consumption querying, thus increasing migrated databases schemas & metadata validation by 90%.

§ Container Orchestration - led the containerization (Docker, K8S) of on-premises/legacy Data Science applications and Machine Learning tooling (non-production BUILD status state) to the Firm’s high controls OPERATE state and Production environments, in AWS Public Cloud.

§ Data Masking - Orchestrated the implementation (anonymization) of Highly Confidential PII/PCI compliant data encryption protocols across all 3rd-party Mortgage, Credit & Loans data, decreasing data breach incidents by 40% and ensuring regulatory compliance, consumers’ privacy and security for the JPMorgan AI/ML Research Institute (JPMCI).

§ On-premises to Public Cloud Data Pipelines - Streamlined zero-touch, automated data migration pipelines and notification protocols from on-premises clusters and databases to AWS S3 buckets, enhancing efficiency & reducing processing time by 60%.

§ Identity Access Management - Launched & coordinated all security and IAM for Public Cloud access including the guardrails, roles controls access and management of policies to cloud-resource services and data.

§ FinOps, SRE & Observability - Instituted SRE error-budget resiliency and fail-over policies for Virtual Private Cloud & high-controls Production environments. Created cost-saving monitoring, metrics, alarms and dashboards for all on-premises and provisioned AWS services utilizing Splunk, CloudWatch, CloudTrail, and Cloud notification event services (SNS/SQS).

§ Federated Data Lake (JPMorgan AI/ML Research Institute) – orchestrated the deployments

(CICD) of Terraform (IaC) Lake Formation Blueprints for integration with firm-wide, Federated Data Lake in AWS Public Cloud. Coordinated the governance of fine-grained access controls, cross-account access management & entitlements between producers and consumers’ accounts, and S3 buckets (schemas).

§ JPMorgan NLP As a Service – Architected a robust full stack framework for the development of an end-to-end Machine Learning Service (Natural Language Processing), which automates the uploading, extraction & parsing of multiple financial market data, bank contracts & voice for ML Business Intelligence and insights in record time. The application also provides creation, automation of labeled ingested data and facilitation of the ML models lifecycle (train, test, deployed).

§ JPMorgan Helios – Spearheaded the design of a full stack MVC-Service Oriented Architecture for a trader surveillance platform that helps the Bank with real-time monitoring of emails (spam detection), trades (fraud detection), loans application (loan default prediction), chats, and voice (sentiment analysis). In real time, reactive python-based ML microservices provides business intelligence and advanced analytics through dynamic model selection & processing ( classification, regression, clustering). Sr. Full Stack Software Engineer, AMERICAN EXPRESS New York, USA 01/2016 - 12/2016

§ Engineered & developed modular components for Amex's highly scalable official E-commerce website, 'Card Shop One Site', utilizing responsive bleeding edge technologies including JAVA, Redis, Node JS and Angular.

§ Designed and implemented a variety of bespoke API services, custom modules and directives, enhancing service reliability and cross-platform user experience. Principal Mobile Developer, ADP (Automatic Data Processing) Roseland, NJ 04/2014 –02/2015

§ Developed a robust and scalable Hybrid, HTML5/iOS tablet framework for suite of ADP's flagship Annual Enrollment (Benefit Enrollment), and Human Resources management

(Tax Statement, iPay, Workers’ Profile, PTO) applications across cross-devices and responsive mobile web frameworks.

§ Spearheaded the initiative and reverse engineered ADP’s complex Backbone JS and REST API framework and codebase into manageable dynamic Node JS microservices and Angular modules.

Lead Mobile Software Architect (Enterprise Mobile Web), JET BLUE AIRLINES NY, USA 05/2013 – 04/2014

§ Architected the first-of-its-kind, resilient mobile and cloud-based framework for JET BLUE AIRLINES including real-time websockets notification of flights details.

§ Led the architectural design for JET BLUE’s Inflight applications, including its enterprise and flagship Mobile Boarding Pass application, and Inflight Manifest. SKILLS

• Leadership & Soft Skills: Team building & mentoring, Agile/Scrum certified, Stakeholder management, Excellent communication skills, KPI/BI tools proficient, Operations & Delivery Manager, Self-starter & self-motivated, Efficient problem solver.

• Languages: Python (Flask, FastAPI), Typescript/ JavaScript, JAVA (Spring Boot), SQL, Node JS, React, Angular, Shell (Bash), Lambda, .NET. Full Stack Engineer.

• Cloud Computing & MLOps: AWS, IBM, Cloud Solution Architect, Databricks, Data Lake Formation, IaC

(Terraform proficient), Spark, EMR, Jenkins, Spinnaker, CICD Pipelines, Ansible, Containerization (Docker, Kubernetes, EKS), Git Flow/GitOps, Bitbucket, Grafana, Prometheus

• ML/AI Frameworks: Pandas, NumPy, Scikit-Learn, Matplotlib, NLP, LLM (OpenAI, Llama, GPT4, Gemini, Claude) Anaconda, TensorFlow, HDFS (Cloudera)

• GenAI, RAG, Agentic AI: AI Agent/ A2A Solution Architect, Huggingface, LangChain, Cursor AI

• SRE & Cloud Observability: Splunk, CloudWatch, CloudTrail, Apica, AppDynamics, AppTioCCM

• Databases: PostgreSQL, MySQL, Athena, MongoDB, Impala EDUCATION

01/2001-

01/2004

09/1994-

01/1999

04/2006-

06/2006

2018

01/2025-

Present

Pace University

Master of Science, Computer Science

University At Buffalo

B.A., Social Science & Interdisciplinary Studies

HOTT Enterprise JAVA/J2EE Certification

CloudFoundation - Cloud Solution Architect/Cloud Practitioner Training

FAANG Kickstarter, Udemy – Foundational deep-dive & Continuous hands-on training lab.

Gen Al/ML Certification, Agentic Al Workflows & design patterns, Deep Learning, RAG, Cursor AI (prompt), LLM

New York, USA

Buffalo, USA

Fairfax, USA

Online

Online

MEMBERSHIP & ASSOCIATION

• Who’s Who American Business Executives & Visionaries (2018)

• Who’s Who In American Colleges & University Inductee (1997)

• Ronald McNair Research Scholar (1996)

*References available upon immediate request

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