Jorge Huertas
MES | Life Science | Digital Transformation | Industry 4.0
About
Experienced consultant in the life science industry. Noticeable work pertains in leading a team though mentorship coaching and direct management. While maintaining the directions of multiple projects.
Experience
February 2023 – May 2025
Consultant – EIS (Enhanced Information Solution)
Clients: AbbVie, Abbott, Catalent Pharma SolutionsManaged multiple projects across various teams.Jan 2023 - May 2023
Software & Data Analyst – University of Puerto Rico, Mayagüez (PR-GOES Project)Build web scraping for a large dataset implementing ML models and in-depth data analysis.May 2020 – Oct 2022
Customer Service Representative - AppleOne
Client : FLDEO, CDCManaged and trained a group of people for customer service. Assisted in all IT issues.
Education and Skills
Education
University of Puerto Rico at Mayaguez
Bachelors of Science in Computer Science 2025TECHNICAL SKILLS :
-POMS MES (POMSnet)
-MES recipe configuration (master/control recipes)
-Electronic Batch Records (EBR) authoring
-Step sequencing and workflow logic
Operator prompts and data capture design
-Parameter configuration (limits, tolerances, units)
-Electronic signatures and 21 CFR Part 11 controls
-Audit trail, event log, and transaction history review
-Batch execution troubleshooting and defect triage
-Recipe testing, dry runs, and regression testing
-SAP MES-ERP integration verification (issue, consume, confirmations)
-Master data validation (materials, BOM, lots, genealogy)
-CSV documentation (URS, FRS, DS, IQ/OQ, traceability)
Change control support
GMP documentation
Additional Skills
-AWS Cloud: Lambda, S3, IAM, DynamoDB, EC2, API Gateway, QuickSight.
Programming & Data Tools: Python, SQL, C++, MATLAB, C#, Oracle SQL, Excel
-Machine Learning & Analytics: Pandas, NumPy, scikit-learn, seaborn, matplotlib, Keras, Jupyter, Anaconda, EDA
-Documentation & Compliance: TrackWise, M-Files, Microsoft Visio, Agile
Abbvie
-Provided floor support for MES execution by troubleshooting EBR runtime failures, signature blocking issues, and data capture defects during active batches.
Personal Projects
Serverless URL Shortener
• Designed and implemented a lightweight URL shortening service using API Gateway, AWS Lambda, and DynamoDB to convert long URLs into unique short codes.
• Enabled secure redirection and link expiration by storing time-limited records in DynamoDB with built-in TTL (time-to-live) management.
• Applied IAM policies to control function permissions and ensure secure, least-privilege execution of backend components.
• Used CloudWatch for logging invocation data and monitoring performance, allowing real-time tracking of shortened URL usage.
Personal File Backup System
• Developed a serverless file backup automation pipeline that copies incoming files from a source S3 bucket to a secure backup destination bucket.
• Leveraged Lambda triggers to process file events instantly and send email alerts via SNS when backups succeed or fail.
• Hardened security by configuring custom IAM roles to control access between Lambda functions and S3 resources.
• Enabled audit and traceability through CloudTrail and log groups, improving visibility and long-term compliance tracking.
Secure Notes App
• Built a full-stack secure notes application using Amazon Cognito for user authentication, API Gateway for routing, and DynamoDB for data storage.
• Enabled users to register, sign in, and manage personal encrypted notes, with all API calls protected via JWT-based authentication flows.
• Wrote Lambda functions to enforce access control logic and validate input, ensuring users could only manage their own notes.
• Integrated a fully serverless backend architecture that scales automatically and supports secure cloud-native note management.
Real-Time Log Monitoring Dashboard
• Engineered a real-time log analysis solution using CloudWatch Log Subscriptions, Lambda functions, and a structured DynamoDB backend.
• Parsed log entries with JSON filters to detect errors, security events, and custom-defined patterns across applications.
• Persisted flagged alerts in DynamoDB for long-term querying and sent high-priority incidents via SNS for immediate review.
• Created an alert processing system that can be reused for multiple services, allowing fast integration into new log sources.
LangChain AI Chatbot App
• Developed an intelligent, conversational AI chatbot using LangChain and OpenAI's GPT APIs, running in a Jupyter Notebook environment with Anaconda.
• Used LLM chains, prompt engineering, memory modules, and LangChain agents to give the bot contextual awareness and unique personality traits.
• Incorporated Retrieval-Augmented Generation (RAG) for scalable knowledge retrieval and extended support for multi-step reasoning flows.
• Designed as a prototype AI product capable of powering customer-facing bots, internal assistants, or generative workflow tools in enterprise settings.
Churn Prediction Project• Built a churn prediction model using decision trees, improving prediction accuracy and reducing churn risk by 20%.• Created automated data preprocessing pipelines and improved the model's AUC-ROC score from 0.7 to 0.8.• Created interactive data visualizations using matplotlib and seaborn to communicate findings to non-technical audiences, contributing to a simulated 10% drop in customer complaints through data-driven recommendations.
House Price Prediction in India• Improved prediction accuracy by 15% for a housing price prediction model using Random Forest; utilized feature importance to enhance model performance and achieved 85% accuracy on the test set.• Reduced mean absolute error by 20% using XGBoost, a gradient boosting framework.• Achieved an R-squared value of 0.75 for a linear regression model, improving from a previous score of 0.6 and indicating a significantly better fit to housing price data.
Contact
Feel free to contact me at the email below.Resume is linked!