Lucio Espino
Fullstack Developer
Electronics Engineer
About
Electronics Engineer with dual expertise in FullStack development and Mission-Critical Industrial Automation. Specialized in System Reliability through the implementation and management of large-scale Control Systems (DCS/PLC), software development, and successful technology project management.
Experience
- -
Automation Engineer for O&M @ Stiler Project Management
Montevideo, UY - On-siteSummary:
- Development and implementation of automation projects for sanitation stations in Montevideo.
Responsibilities:
- Operation & Maintenance (O&M): Comprehensive management and troubleshooting of sanitation pumping stations, ensuring 24/7 availability.
- Critical Infrastructure: Preventive and corrective maintenance of Distributed Control Systems (DCS) and electrical networks (~2000 I/O).
- Industrial Automation: PLC programming and HMI/SCADA interface redesign to improve operational efficiency.
- Asset Management: Hardware specification and technical coordination with national and international suppliers.
- Digitalization: Implementation of PowerBI reports for predictive maintenance and discharge analysis using PowerAutomate.
- PLC
- SCADA
- DCS
- PowerBI
- Automation
- -
Full-Stack Developer @ GSoft
Montevideo, UY - On-siteSummary:
- Development of financial and e-commerce systems using Java, JavaScript, C, and Python.
Responsibilities:
- Implementation of RESTful APIs and back-end development.
- Design of user interfaces with PrimeFaces (web) and Ionic (mobile).
- Creation and maintenance of MySQL databases.
- Version management using Git.
- Java
- JavaScript
- Python
- C
- REST API
- MySQL
- Git
Education
Universidad ORT Uruguay
Electronics Engineering
Certificates
First Certificate in English (FCE B2)
Instituto Cultural Anglo (Cambridge Assessment English)
Projects
Co-developed a high-efficiency backend service for personalized video streaming. The system generates unique videos by dynamically concatenating pre-existing video (H.264) and audio (AAC) segments, all without re-encoding, dramatically optimizing storage and processing time.
- Dynamic HLS/M3U8 generation
- Low-level PTS/DTS timestamp manipulation
- Serverless logic on Cloudflare Workers
- Reduced storage and processing vs. traditional encoding
- Node.js
- Python
- HLS
- FFmpeg
- Cloudflare
- MPEG-TS
Co-developed a Machine Learning model for a Kaggle project to classify drug reviews as 'positive' or 'negative.' I managed the complete project pipeline, from data cleaning (NLP, negation words) to model optimization, achieving 0.97252 AUC on the final test set.
- Achieved 0.97252 AUC on Kaggle
- Full NLP pipeline (TF-IDF, Word2Vec)
- Trained and evaluated multiple models (Random Forest, NNs)
- Used Weights & Biases (WandB) for hyperparameter sweeps
- Machine Learning
- Python
- NLP
- Scikit-learn
- WandB
Designed a Big Data architecture for a transport company to detect traffic congestion in real-time based on GPS data from active vehicles. The solution proposes a hybrid NoSQL approach (Cassandra for real-time/time-series data and MongoDB for historical/document data) integrated with Apache Kafka for ingestion and Apache Spark Streaming for processing.
- Designed lambda architecture for real-time and batch processing
- Proposed NoSQL databases (Cassandra & MongoDB) for high-volume GPS data
- defined Apache Kafka and Spark Streaming for data ingestion and processing
- Addressed 'Big Data' V's: Volume, Velocity, Variety, Veracity, and Value
- Big Data
- Apache Kafka
- Apache Spark
- Cassandra
- MongoDB
Developed a predictive model using Decision Trees (Rpart library in R) to identify premium bank customers at risk of leaving (churn). Performed extensive hyperparameter tuning (Grid Search on maxdepth, minbucket, minsplit, cp) to maximize a specific profit function defined by the business logic, achieving a maximized profit of $3,400,833 on the training set.
- Hyperparameter optimization via Grid Search
- Exploratory Data Analysis (EDA) and variable distribution analysis
- Feature engineering (Total Account Balance, Credit Card Spend, Service Payment Ratio)
- Profit maximization strategy based on business rules
- R
- Machine Learning
- Decision Trees
- Data Science
- EDA
Co-developed a full-stack IoT system for industrial machinery access control. The system uses RFID cards (read by an ESP32) to authorize operators by checking against a central database via a Node.js REST API, logging every ignition attempt.
- Full-stack IoT solution
- ESP32 firmware (C++) for WiFi and RFID reading
- Node.js REST API backend
- SQL database for managing operators, machines, and logs
- ESP32
- C++
- Node.js
- SQL
- RFID
Migrated an obsolete water heating control system (SR-609C) to a modern platform using a Siemens LOGO! PLC. The project involved expanding the system from two to three tanks, automating a manual recirculation pump, and integrating new RTD sensors.
- System modernization and expansion
- PLC programming (LADDER/FBD) with Siemens LOGO!
- Implemented Hysteresis (ON/OFF) and Timer-based control
- Integrated with DCS via Modbus TCP/IP for remote control
- Siemens PLC
- LADDER
- Modbus
- Automation
Designed the complete control architecture and logic for an industrial effluent treatment plant. The project's core involved modeling all equipment (motors, valves, sensors) using User-Defined Data Types (UDTs) for standardized, reusable code.
- Large-scale automation architecture
- Advanced PLC programming with UDTs
- State machine design for process zones
- Logic for HMI/SCADA visualization
- PLC
- SCADA
- Industrial Automation
- Process Control
Designed and implemented digital filters in Scilab for audio processing. This included: 1) Creating IIR filters (using pole-zero placement) to remove broadband and localized noise from a voice recording. 2) Building an audio scrambler/descrambler using FIR filters (Kaiser window) and frequency mixing (heterodyning).
- Audio noise removal (IIR filters)
- Audio scrambler (FIR filters)
- Pole-Zero placement and Kaiser Window methods
- Simulation and design in Scilab
- DSP
- Scilab
- IIR Filters
- FIR Filters
Developed control logic for: 1) An elevator system on a Schneider PLC, managing call memory, states, and motion. 2) Two industrial plants ('Assembler' and 'Pick&PlaceXYZ') in the FactoryIO simulator, translating GRAFCET designs to LADDER logic.
- Control logic for elevator and industrial plants
- GRAFCET sequence design
- LADDER logic programming
- Simulation in FactoryIO
- Schneider PLC
- LADDER
- GRAFCET
- FactoryIO
Performed a complete short-circuit analysis on a power grid. This involved modeling the entire network (generators, transformers, lines) in the per-unit (pu) system and using symmetrical components to calculate fault currents (LG) and their distribution. Results were validated against PSSE software.
- Per-Unit (pu) system modeling
- Symmetrical components analysis (positive, negative, zero)
- Line-to-Ground fault current calculation
- Validated results against PSSE
- Power Systems
- Fault Analysis
- PSSE
Participated in the design and simulation of a control system for a box filling production line. My role was to plan the sequence of operations (positioning, filling) using GRAFCET and translate this design into a functional LADDER logic program for simulation in PSIM.
- State machine design with GRAFCET
- LADDER logic programming
- Simulation in PSIM
- Implemented automatic and semi-automatic modes
- GRAFCET
- LADDER
- PSIM
Co-designed the complete relational database architecture for a complex, Discord-like chat system. The process spanned from conceptual (ERD) to logical (Relational Schema) and physical (SQL) design, defining all entities, relationships, and business rules (RNEs).
- Complex data modeling (ERD)
- Relational schema design
- SQL database architecture
- Modeled users, servers, roles, permissions, and messages
- SQL
- Database Design
- ERD
Skills
- PLC Programming (Siemens, Schneider,ABB)
- Industrial Automation
- Python
- Node.js
- Machine Learning
- IoT & Embedded Systems
- Java
- Database Design
- Video Streaming
- Data Analytics
- Power BI
- Power Automate
- DSP
- Git & GitHub
- Power Systems
- Industrial Networks