Alex Echevarria Email & Phone Number

United States

Dallas-Fort Worth Metroplex

+ Engage with semiconductor manufacturing customers in a variety of roles related to evaluation and implementationof run-to-run (R2R) software, Discover Run-to-Run. Roles include project management, custom engineering,training, customer support and technical sales.+ Improved yield indicators and reduced product rework through R2R implementation projects with multiple customers resulting in customer satisfaction and continued business.

Richardson, Texas

+ Led site adoption and deployment for run-to-run and recipe management software in a 24x7 semiconductor factory. Designed and deployed over one dozen control strategies for over 80 manufacturing steps. Areas include physical vapor deposition (PVD), chemical mechanical polishing (CMP), plating and photolithography.+ Implemented predictive model for electroplating recipe creation using first principles and machine learning. Eliminated both the scrap and use of pilot wafers, resulting in a zero scrap recipe creation process. Reduced cycle time by 50% for new product development to meet fab ramp and production goals.+ Collaborated with R&D on key developments in PVD and CMP areas. Wrote automation for piezoelectric deposition as well as novel CMP process control strategy - both features in 2021 design win with key customer.+ Owner of mass metrology tool set (Metryx). Maintain fleet of 14 scales for both 150mm and 200mm product lines. Automated qualification data collection process - used results to match and maintain tight fleet-matching specification. Metryx area is one of the highest volume areas in factory and consistently meets cycle time goals

Claremont, Ca

+ Tutored college students in introductory computer science classes+ Languages tutored include Racket, Java and Python

Duarte, Ca

+ Evaluated the feasibility of Raman spectroscopy for real-time, in vivo detection of cancer in marginal tissue+ Designed and implemented framework for processing, organizing, storing and easily retrieving the 350+ spectra collected over the course of the project (Python, Google Sheets, MATLAB)+ Integrated pathology and spectroscopy to develop algorithm for classification of marginal tissue as either healthy or malignant with 100% accuracy using a 200 wavenumber region (MATLAB)+ Compared two B&W Tek commercial units, the i-Raman Plus (785nm) and EX (1064nm), on both tissue phantoms and frozen breast tissue+ Framework and human data are available on the City-of-Hope-Spectrophotometer github repository (https://github.com/mrechesketch/City-of-Hope-Spectrophotometer)

Claremont, Ca

+ Characterized the Belousov-Zhabotinsky oscillating reaction in both stirred and unstirred systems+ Circumvented traditional electrochemical method of characterization of analysis through use of image processing (Python and OpenCV)+ Continued work with development of iOS application written in Swift for real-time colorimetry

Dallas, Sydney

+ Processed and cataloged 8000+ analyst written reports into separate actor database+ Leveraged Python and NLTK to quickly parse, extract, characterize and classify actors to hasten data entry process+ Identified and reported on problems with API and front-end web application for retrieving reports

M.S., Analytics

B.S., Chemistry

Semester Abroad

Education record