Andrés Felipe Alba Hernández Email & Phone Number

Greater Chicago Area

• Architecting machine learning solutions using cloud infrastructure. • Acting as a liaison between stakeholders and data scientists to assure projects are on track and align with business goals. • Managing a heterogeneous team of data scientists, developers, and testers located on-shore and off-shore. • Designing and maintaining machine learning models and systems such as auction price prediction, buyer recommendation systems, computer vision model for car damage estimation, and automatic document processes. • Building ETL (extract, transform and load) data pipelines. • Helping product owners in the definition and prioritization of user stories to enhance current systems and develop new ones.• Assuring the team is on track during scrum iterations and helping them to overcome impediments. • Guiding and mentoring team on day-to-day development activities.• Creating automation pipelines and infrastructure as a code.• Mentoring and managing a team of data scientists, developers, and testers.

Greater Chicago Area

• Helped customers to apply deep reinforcement learning models to complex industrial systems such as: smart buildings, energy, process control, automation, and manufacturing. • Architected and implemented a real-time decision assist system for railroad facility operations using Reinforcement Learning (RL) agents and optimizers, accomplished 35% increment on the key performance indicator. In the solution, a reinforcement learning agent performed strategic decisions and feeds downstream optimizers that performed tactical decisions. • Developed a data-driven model for the petrochemical process obtaining 94% accuracy.• Integrated different simulation tools with bonsai cloud platform.• Provided technical leadership in a pre-sales and post-sales capacity to support successful understanding, evaluation, design, and implementation of Bonsai platform.• Developed quick proof of concept (POC) feature ownership for prospective customers around Deep Learning, Reinforcement Learning mixed with traditional approaches.• Built demos and conducted training to help data scientists effectively use the product.• Collaborated with the product development team to ideate features based on my hands-on experience with the tool.

Batavia Il, Usa

Machine Intelligence and Reconstruction Group.Research Assistant, LSST Internship and LDRD. • Researching on Reinforcement Learning Algorithms for Sky Survey Scheduling Optimization.• Implementing Deep Learning techniques such as Asynchronous Actor Critic Network (A3C) and Double DQN.• Developing techniques for strong lenses detection using Convolutional Neuronal Networks (CNN) in sky survey images.• Mentoring undergrad and high school students interns in Machine Learning projects, coordinating the area of reinforcement learning.

Teaching assistant for:*Control System Laboratory (Aug 2017, Dec 2018)*Statistical Detection Theory course, (Fall season 2018)*Control System II (Spring 2017)*Control System I (Fall 2017)

United States

Intern HEP-Computational Excellence program.• Developed an interface between a scientific data management system and a distributed infrastructure software server framework for importing site configurations for data transfer.

Chicago Il

• Developed python workflow manager services for automating and monitoring grid jobs.• Handled data production and Monte Carlo simulations for big data sets (Petabytes) of various neutrino experiments using a distributed and heterogeneous computing and storage infrastructure.• Reported, tracked, and debugged computer infrastructure problems, collaborating with different groups around the world such as security teams, project managers, site administrators and experimenters.• Ran end-to-end tests, collected and analyzed performance statistics, as well as unit test for products under develop.• Performed service support operations in user support for distributed computing and the data handling group.

Bogota, Colombia

• Analyzed the national operation performance of 14 workover rigs extracting key performance indicators (KPI). My root cause analysis with corrective actions reduced 30% of operation time and 10% of operation expenses.• Supervised operations remotely through data a Supervisory Control and Data Acquisition (SCADA) system.• Support field engineers remotely to troubleshoot problems in the SCADA system.

Barrancabermeja, Colombia.

• Commissioned, maintained, and improved automation systems encompassing 24/7 “workover” operations.• Designed SCADA systems for control and monitor operations in workover rigs. The project involved: hardware selection, design, installation, and PLC programming using ladder logic. The final system included Human Machine Interface (HMI), a national instrument Programmable Logic Controller (PLC), pneumatic and hydraulic transducers, H2S gas detectors, encoders, actuators, antennas, cables, and protection systems.• Created P&ID diagrams, as well as electrical diagrams for documenting changes and modifications at the system.• Organized and taught a fast-paced training course for newly hired control system operators.

Medellin, Colombia

• Developed cybersecurity baselines for Windows-Server, Active Directory, Windows-Desktop, AIX operating systems.• Performed vulnerability tests for AIX Servers.

Prepare students for the highschool national examination. This is mandatory exam to access to college in Colombia.

Bucaramanga, Colombia

Prepared, taught, and graded the astronomy instrumentation module which corresponds to 15% of the course.Prepared and graded the hands-on activities (astronomical observations).

Master Of Business Administration - Mba

Financial Management Specialization, Finance, General, A+

The Financial Management Certificate covers the fundamentals of strategic financial management, including financial accounting.

Master Of Science - Ms, Electrical And Electronics Engineering, 3.95/4

Activities and Societies: Society of Hispanic Professional Engineers -SHPE & Optical Society of Chicago-OSC (Board member)Master Thesis.

Accelerators And Beam Physics

US Particle Accelerator School. Fundamentals of Particle Accelerators. Summer 2018 US Particle Accelerator School. Control Theory.

Master Of Engineering (Meng) (Coursework Non-Degree)

Activities and Societies:Coursework: Optimization, Principles of Nanotechnology, Stochastic Processes, Fundamentals of IT management

Bachelor Of Engineering (B.E.), Electrical, Electronics And Communications Engineering

Activities and Societies: Signal Processing and Communications Group (CPS) Group Halley of Astronomy and Aerospace ScienceInterested.

Computer Science

The focus of the school is how to use high-throughput computing (HTC) systems at your own campus or using the national Open Science Grid.

Courses In Electronics, Physics, Astronomy And Computing.

Coursera is a great option to study topics of your interest with great professors.

International Summer School Connecting The Best For Peace

Through five themes (Economy for Peace Scientists for Peace, Education, rights, equity and peace, conflict resolution, art, culture.