• Engineer and architect in charge of leading, planning, and managing backend servers, services, databases, and dev team• Consolidated customer’s demand channels onto our redesigned platform that compiles and manages parking garage reservations to increase their revenue by 104% and increase online transaction volume by 400% within two weeks• Directed & designed a full system overhaul to migrate and deploy onto the AWS Serverless platform to reduce costs by 80%• Architected a fully scalable system that builds itself by recreating the entire pipeline to aid in controlling dev environments• Developed pub-sub messaging system to automatically deploy workers to synchronize every customer channel and service• Involved in using Python, Vue3, Postgres, and AWS

• Spearheaded several government projects in order to obtain contracts and licenses in several states across the US• Streamlined autoscaling, AI vision pipelines & models to ingest, process, label, and score over 10,000 images per hour totrack real-time parking spot occupancy as well as parking violations and charges on a per vehicle and license plate basis• Organized meetings with state boards and government officials to demo and present a technical deep dive of our system• Deployed with Government Department of Transportation contracts and grants in almost 10 states• Integrated the backend platform with Google Cloud to save over $20,000 in server costs by using serverless architecture• Optimized data warehousing & ETL pipelines to efficiently process >100m rows of data & minimize costs and time by 90%• Involved in using Python, React, Kubernetes, BigQuery, Postgres, Docker, Go, and Google Cloud

• Developed a full stack application centered around a video calling platform in a virtual avatar-based reality• Redesigned and optimized the platform so it could scale from 10 users to over 10,000 users in a period of 3 weeks• Restructured the backend into layers to implement core architecture principles of code sustainability and serviceability• Involved in using Python, React, Typescript, NPM, JavaScript, React, Firebase, and AWS

• Collected health metrics from nearly all Caterpillar machines across the world in Realtime through internal ingest system• Developed a company-wide platform that allows clients, partners, & engineers access to health forecasts & metrics• Forecasted dynamic historical and real-time calculations to provide predictive transparency of machine health and lifespanwith up to 90% accuracy on all machines that metrics were serviced on• Involved in using Python, HTML, JavaScript, Azure, MySQL and React

• Worked on a team of four software engineers to develop a product catalog platform for a client that provides customized and tailored suggestions generated from machine learning models in order to reduce the decision paralysis of too many options• Learned the full process of working on team to plan, develop, meet, & present a product while maintaining deadlines• Involved in using Python, HTML, JavaScript, React, MongoDB, Neo4j, Flask, Web.py and AWS

• Conducted research at USC Dana & David Dornsife College of Letters, Arts & Sciences under Dr. Julien Emile-Geay• Worked on mapping, compiling, and analyzing speleothem data through automated pipelines built with python• Used different regressions to map out relative carbon compositions over geographical regions and timescales over epochs• Assisted in contributing data and analysis to different research papers and the http://linked.earth/ project