• Algorithms Engineer for Autobidder software on Tesla Energy Optimization team• Develop, prototype, benchmark, and deploy real-time optimal control algorithms to maximize the revenue of our global fleet of large utility-scale battery assets across multiple wholesale energy markets including ERCOT and CAISO

• Control Software Startup for Industrial Cold Storage• Developed and deployed an economic model predictive control optimization-based algorithm to minimize the electricity cost of industrial cold storage facilities by shifting their thermal load from peak hours to off-peak hours

• Applications (process control) engineer in Advanced Applications group• Design and deploy advanced model predictive control (MPC) applications at various manufacturing sites worldwide to capture multimillion dollar annual credits• Lead several R&D projects exploring methods of capturing business value using machine learning and artificial intelligence• Manage the Advanced Applications R&D portfolio, including seven existing R&D projects with a total budget of >$2.5M/yr. Ensure on-time and under-budget project execution while meeting or exceeding deliverables• Software developer for several in-house application tools, with responsibilities including adding new features, fixing bugs, and guiding the vision for the technology

Advisor: Dr. James B. RawlingsResearch Project: Distributed Economic Model Predictive Control for MinimizingEnergy Costs in Large-Scale Commercial Building TemperatureKeywords: Economic MPC, System Identification, Distributed MPC, Large-Scale Commercial Systems, Batteries, Hierarchical Control, Load Shifting, Peak Demand Charges, Thermal Energy StorageProject is in collaboration with Johnson Controls, Inc.

• CBE 470: Process Control• Taught Discussion; Supervised Labs; Created Simulation Experiments; Graded Exams, Lab Reports, and Homework Assignments• Won Ragatz Teaching Assistant Award each semester

• Applications (control) engineer in the Synthetics Unit of the Beaumont Chemical Plant that produces polyalphaolefins for Mobil 1 oils• Developed inferential viscosity models to make predictions of infrequently measured lab quality from continuously measured process variables; the models guided operator control of the units• Initiated a Management of Change (MOC) for automating the tank level control strategy for dechlorination tanks in the Synthetics Unit to increase standardization among different operators and reduce filter cleaning downtimes• Gained experience working with Foxboro DCS and Honeywell TDC 3000

• Worked on the application of economic MPC to heating, ventilation, and air conditioning (HVAC) systems to minimize energy costs• Developed MPC code for the optimization of commercial HVAC systems and performed validation studies on a number of test cases to verify results• Created a large-scale system to demonstrate the scalability of the proposed system architecture to solve the optimization problems in real-time (a couple minutes)• Co-inventor on three patent applications submitted for optimal HVAC control

Research and Development, Advanced Process Control (APC) group• Worked on disturbance modeling for Aspen DMC3; Performed detailed case studies involving three process examples to determine factors leading to improved disturbance rejection• Implemented an alternative Kalman filter tuning algorithm called autocovariance least-squares (ALS) and demonstrated improved accuracy and controller performance over existing tuning algorithm through selective studies in Octave and APC Builder• Used APC Builder, Aspen HYSYS, and various other process software to set up an online deployment of prototype technology• Gained insight into the scale and complexity of industrial control problems, while learning about the technologies and software used to deploy advanced model-based controllers

Advisor: Dr. Paul A. Kohl• Calculated thermo-mechanical stresses using finite element modeling of through-silicon-vias (TSVs) in ANSYS to determine optimum material for use as a liner

Advisor: Dr. Paul A. Kohl• Performed computational modeling of an ionic liquid absorption refrigeration system using MATLAB to calculate thermodynamic variables at each state and determined optimal parameters to maximize overall coefficient of performance of system• Awarded 2013 Outstanding Undergraduate Researcher in the College of Engineering

• Instructed approximately 60 students in two laboratory sections every week

• Drove a wastewater treatment process, which will save the company ~$85,000 over the year, towards standardization through documentation and effective cross-functional communication; Managed several production runs of process• Created two IP21 Dashboards using AspenTech Process Graphics Editor to visually represent batch chemical process systems and aid in troubleshooting for engineers; Wrote an instruction manual to train plant engineers in making similar dashboards• Analyzed product cycle times using an inventory system (iMES) and data historian (IP21) in order to set target and entitlement times for continuous improvement• Gained insight into lean six sigma, value stream mapping, safety systems, calibrating equipment, controls systems (Provox & DeltaV), and day-to-day responsibilities of a manufacturing engineer including developing troubleshooting/problem solving skills