Professional Summary
A highly motivated and analytical professional with a Bachelor's degree in Information Technology and extensive, recent certifications in AI, Data Engineering, and Cloud Computing. Combines a foundational understanding of IT systems with cutting-edge expertise in the end-to-end machine learning lifecycle, from building data pipelines and creating intelligent automation to training and fine-tuning models. Eager to apply a deep knowledge of data analysis, model evaluation and server installation experience to enhance the accuracy and effectiveness of the AI and Data Center Solutions.
Technical Skills
- AI & Data Science: AI Agents, AI Automation / Workflows, Data Curation, Deep Learning, Fine-Tuning, Large Language Models (LLM), Model Evaluation & Deployment, Natural Language Processing (NLP), Prompt Engineering, Sentiment Analysis, Text Classification
- Data Engineering: Apache Airflow, Apache Flink, Apache Kafka, Apache Spark, Data Lakes, Data Warehousing, Databases, dbt, ETL Processes, Real-Time Pipelines, SQL
- Frameworks & Libraries: HuggingFace, LangChain, NumPy, Pandas, PyTorch, Streamlit, TensorFlow
- Cloud & Platforms: AWS (API Gateway, Bedrock, CloudFront, DynamoDB, Lambda, S3, SageMaker), CI/CD, Docker, Jupyter Notebooks, n8n, Python
- Infrastructure & Project Management: Data Center Operations, Hardware Lifecycle Management, KPI Reporting, Stakeholder Management, Systems Consolidation, Vendor Management
Projects
Form Intake Webapp w/ Agentic AI Automated Workflows
- Architected an intelligent form intake web application using n8n to create an AI-driven automated workflow, instantly answering 85% of user inquiries with a fine-tuned LLM.
- Implemented a "man-in-the-middle" agent to analyze and classify form data in real-time.
- Engineered an intelligent routing system that triaged the remaining 15% of complex inquiries, forwarding them with context to Sales and IT for clarification.
Conversational AI: Customer Intent Classification Model
- Developed a system to classify customer support emails by intent, achieving 98% accuracy.
- Utilized Python and NLP, and curated a custom dataset of over 2,000 examples to train and validate the model.
- Demonstrates foundational capability in analyzing model outputs and refining data for continuous improvement.
🌐Erik.ml | CI/CD Serverless Analytic Enabled Resume on AWS Cloud Stack aka Cloud Resume Challenge
- Built and deployed a serverless, cloud-native resume website on AWS infra.
- Features a visitor counter powered by a serverless backend and is delivered globally with low latency via CDN.
- Technologies: API Gateway, CloudFront, DynamoDB, GitHub Actions, Lambda, Route 53, S3, Terraform.
Professional Experience
AI Automation Specialist (Contract) Remote | June 2025 – July 2025
- Designed and deployed an AI-powered intake form using n8n, automating 85% of submissions.
- Implemented a "man-in-the-middle" workflow where a fine-tuned LLM intercepted, analyzed, and classified form data in real-time.
- Engineered an intelligent routing system for the remaining 15% of complex inquiries, forwarding them with context to appropriate teams.
Data Analyst (Contract) Remote | March 2025 – May 2025
- Analyzed chatbot interaction data, leading to a 15% improvement in response accuracy.
- Structured and refined large datasets for AI model training, reducing misclassification rates by 10%.
- Curated and annotated a custom dataset of over 2,000 real-world examples to train and validate an NLP model, achieving 98% classification accuracy.
Career Transition & Technical Training AWS Skill Builder / Center, Per Scholas & Zero To Mastery | Jan 2024 - Mar 2025
- Completed over 1,500 hours of intensive, hands-on training and project-based learning, focusing on a full-stack career pivot to AI, Data Engineering, and Cloud technologies.
- Developed comprehensive, production-level skills in the end-to-end machine learning lifecycle, from data pipeline construction to model deployment and fine-tuning.
- Gained expertise in modern cloud-native architectures, serverless computing, and Infrastructure as Code (IaC) principles.
Overnight Senior Front Desk Manager YOTEL | May 2022 - Jul 2023
- Coordinated seamless 24/7 operational hand-offs between overnight and daytime shifts, serving as the primary after-hours contact for all facility and operational issues.
- Managed daily transition briefings for senior management, providing comprehensive updates on overnight activities, emergent issues, and prioritized tasks to ensure continuity.
- Authored and presented Standard Operating Procedures (SOPs) to leadership, aimed at enhancing operational efficiency, team preparedness, and inter-shift coordination.
Floor Manager & Team Lead, VIP Lounge MGM National Harbor | Jul 2016 - Apr 2020
- Began as a high-performing associate, analyzing daily operational reports and auditing folios to increase customer satisfaction by 50% and financial performance by 15%.
- Promoted to Team Lead, managing and coaching VIP lounge staff, coordinating with all hotel departments to fulfill high-value guest requests, and overseeing daily inventory and purchasing.
- Leveraged prior digital marketing experience to manage a $1.2M budget, craft analytics reports on lounge performance for stakeholders, and manage key vendor relationships.
Project Manager National Institutes of Health | Jun 2013 - Jan 2014
- Architected and developed a custom Web 2.0 project management portal using PHP/MySQL to centralize project milestones, stakeholder documents, and communications.
- Engineered a mobile-friendly UX, enabling remote project management and access for stakeholders on mobile devices.
- Consolidated project documentation into a centralized, remotely accessible file server and trained stakeholders on the new system.
Project Manager, Web & Infrastructure D.C. Government, Office of the CTO | Aug 2003 - Dec 2010
- Led a metrics-driven overhaul of the DC.gov web portal, leveraging web analytics and user data to guide UI/UX improvements and report on KPIs to senior leadership.
- Achieved over $5M in cost savings by analyzing and consolidating redundant systems and infrastructure within the DC government's web infrastructure team.
- Managed critical infrastructure projects, including enterprise-level data backups across remote data centers, hardware/software rollouts, and the implementation of intranet search engines.
Server Engineer Sun Microsystems | Vienna, VA | July 1995 - July 1998
- Built, deployed, and maintained enterprise server infrastructure for major Fortune 500 clients, including America Online (AOL), Sprint, and Bell Atlantic/MCI (now Verizon).
Network Administrator Howard University School of Business | Sep 1994 - May 1996
- Led a student team in a campus-wide infrastructure modernization project, deploying and upgrading over 200 PCs.
- Engineered a streamlined PC imaging and software deployment process using Norton Ghost to ensure consistent configurations.
Certifications & Specialized Training
AI and Data Training via Zero To Mastery Academy (Continuous Learning)
- Featured: AWS Bedrock, AWS SageMaker, Data Engineering & Big Data, Machine Learning & Data Science Bootcamp, Python for Data Science
- AI: AI Agents with AWS, AI Automation / Workflows with n8n, Fine-Tuning & RAG for LLMs, GenAI with AWS Bedrock, PyTorch, TensorFlow
- Cloud & Data: AWS Certified AI Practitioner (Pending Aug 2025)
Education
Bachelor of Business Administration (BBA), Information Technology
Howard University, Washington, D.C.