Jose Roberts
Data & AI Architect
I build production AI and data platforms that replace manual workflows and turn data into decisions the business can act on.
15+ years across finance, consumer services & industrial IoT — most recently an agentic AI workforce for a Fortune 500 client (72% analytics-platform growth) and ML forecasting that cut energy costs $2M. Databricks-certified, with deep AWS, Python & Spark experience.
Impact by the Numbers
Business outcomes from 15+ years across data and AI engineering — each figure ties to a specific role or case study.
- $2MEnergy costs cutSaved a full year of industrial energy spend with an interpretable ML demand-forecast at Evonik.
- 83%Less equipment downtimeA predictive-maintenance model on live robotics telemetry caught failures before they happened, at Amazon Robotics.
- 99.99%Platform uptimeAn event-driven IoT platform served operations-critical data at sub-5s latency — under ~1 minute of downtime a week, at Very Technology.
- 72%Analytics-platform growthGrew a Fortune 500 client's analytics platform by wiring AI agents into their Databricks pipelines, at MojoTech.
- 90%User-productivity liftReached within three weeks from an AI-first system I helped design, at Very Technology.
- 68%Process efficiencyOverhauled the bank's Finance data workflows with algorithms and ML, at Bank of America.
Areas of Expertise
AI Agents & LLMs
Agentic AI, RAG chatbots, and LLM integration — ask my portfolio anything
Web Development
Modern full-stack applications with Next.js, React, and TypeScript
Data Pipelines
ETL and data processing with Python, FastAPI, and PostgreSQL
Data Analytics
Interactive dashboards and data visualizations
Machine Learning
NLP and sentiment analysis with modern ML frameworks
Computer Vision
Real-time object detection and image processing
Signal Processing
Digital signal analysis, FFT, and audio processing
Cloud & DevOps
AWS infrastructure, Docker, and CI/CD pipelines
Deep-Dive Case Studies
The work behind the numbers — what each system replaced, the decisions that shaped it, and the measurable outcome it produced
Agentic AI Workforce
Impact: Cut operational errors 30% and workflow bottlenecks 77% for a Fortune 500 client — and grew their analytics platform 72%.
Real-Time IoT Data Platform
Impact: 83% less equipment downtime and ~10% lower backend cost, on a platform holding 99.99% uptime with sub-5-second insight.
ML Energy Forecasting
Impact: $2M in energy costs saved in one year, built on pipelines that cut data redundancy 80% and project overhead 50%.
Skills Matrix
Comprehensive overview of technical expertise across 8 key domains
Domain Breakdown
AI / LLMs / Agents
92%Web Development
95%Cloud & DevOps
90%Data Pipelines
88%Data Analytics
82%Machine Learning
78%Computer Vision
80%Signal Processing
75%Certifications
Industry-recognized credentials in data engineering, cloud architecture, and machine learning.
Databricks Certified Data Engineer Professional
Databricks
AWS Certified Solutions Architect – Associate
Amazon Web Services
TinyML Certification
Harvard edX
Active Development on GitHub
Explore my open source contributions, repositories, and coding activity
Professional Experience
Data and AI Architect
MojoTech
Key architect and builder of robust, scalable, and efficient data pipelines using Databricks and AWS services, working directly with clients to understand their AI and data needs.
- Designed agentic data ingestion on Databricks to support internal visibility into LLM consumption
- Built a framework to benchmark AI model performance across a variety of tasks, enabling data-driven model selection
- Integrated and automated data pipelines and APIs with Databricks for a Fortune 500 company, enabling AI agents across their work streams and driving 72% growth of their analytics platform
- Developed an agentic workforce that automated workflows and managed tasks, reducing operational errors by 30% and bottlenecks by 77%
Manager of Data Science and Data Engineering
Very Technology
Led teams of engineers emphasizing product ownership and scalable solutions integrating LLMs and generative AI.
- Directed the integration of LLMs and Generative AI into existing systems, improving operational efficiency by 80% in 2 months
- Consulted on the design of an AI-first system, increasing data-driven decision-making and user productivity by 90% in 3 weeks
- Developed and deployed an AI agent leveraging a fine-tuned model for real-time guidance, boosting technician efficiency by 22%
- Developed a full-stack AI-driven application for creative marketing content, increasing user engagement by 40% and profits by 15% in 1 month
- Engineered an event-driven backend enabling advanced marketing strategies, boosting sales profits by 33% in 3 months
- Architected a real-time API platform achieving 99.99% uptime with sub-5s end-to-end latency for IoT data
Senior Data Engineer
Evonik Industries
Created and designed the full lifecycle of data pipelines to support niche Data Science segment to drive decisions.
- Designed and implemented backend system architecture supporting Data Scientists and Analysts
- Implemented machine learning forecasting model for energy consumption, reducing costs by $2M in one year
- Performed data integration, reducing redundancies by 80% and decreasing project overhead by 50%
- Trained junior Data Engineers, increasing their project readiness and effectiveness by 80%
Data Engineer
Amazon Robotics
Developed and maintained data pipelines used by the Deployment Engineering division of Amazon Robotics.
- Trained predictive modeling algorithm for preventive maintenance, reducing downtime by 83%
- Implemented real-time data processing analytics dashboards for Deployment Engineers
- Worked on IoT optimization of data backend to automate data collection, reducing costs by 10% in one month
Senior Data Engineer/Analyst - AVP
Bank of America
Participated in business reviews to improve data workflows and increase the accountability and usability of the data.
- Designed and implemented the metadata repository for the Finance group within the Bank
- Developed RESTful APIs to improve data retrieval and capture (Java / Node.js / REST / SQL)
- Overhauled processes with algorithms and machine learning, creating 68% efficiency gains
- Used business intelligence and analytics tools to perform reviews on deposit accounts, recovering billions of dollars
Education & Certifications
Master of Science in Computer Science
Colorado Technical University Online
Advanced studies in computer science, algorithms, and system design.
- GPA: 3.95/4.0
- Focus on scalable system architecture and modern development practices
Bachelor of Arts in Political Science
University of Rhode Island
Undergraduate studies at URI, Kingston RI.
Databricks Certified Data Engineer Professional
Databricks
Professional certification for building and optimizing production data pipelines on the Databricks Lakehouse Platform.
AWS Certified Solutions Architect - Associate
Amazon Web Services
Professional certification for designing and implementing distributed systems on AWS.
TinyML Certification
Harvard edX
Certification in machine learning for embedded systems and edge devices.
Resume
PDF Document
Jose Roberts
Data & AI Architect
PDF • 95 KB
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