Aram Dovlatyan

Software Engineer

Freelancer•  November 2023 - Present

● Full-stack development to build an MVP for a stealth mode seed-stage startup using NextJS, Typescript, Python, FastAPI, SQLModel, and PostgreSQL. ● Architected and developed an ESG Market Intelligence application using NextJS, React, Typescript, Kinde, and Postgres. ● Select as a top performer while contracting at ScaleAI to work on OpenAI’s ChatGPT improvement projects.

Software Engineer

Beyond Limits•  June 2021 - June 2023

● Spearheaded Agile collaborations for the development of a multi-tenant SaaS industrial AI platform designed to scale up to 20-30% of global oil refineries, with a current deployment ingesting streaming data from 130,000+ sensors via Apache Flink. ● Accelerated customer adoption of the platform from 600 to 1,300 users across various roles in the industry, a 200% increase. ● Developed backend APIs and services in Java using Spring framework (Spring Boot, Spring Data JDBC/JPA) and Postgres. ● Architected and launched a scalable RESTful Reporting API, handling over 5 million rows in PostgreSQL, which reduced report generation time by 50% and supported efficient data extraction for process engineers. ● Enhanced a critical Apache-Flink based real-time streaming pipeline (10+ operators), improving throughput by 40% and system reliability through comprehensive documentation and rigorous testing protocols. ● Actively contributed to cross-functional team efforts in architectural decision-making, promoting best practices and leading the iteration of vital system enhancements. ● Volunteered and led initiatives for on-campus recruiting, mentoring interns, and supporting their projects

Data Scientist

First media•  October 2019 - February 2020

• Researched, created and quantified 80 qualitative variables to describe a data-set of 2,000 video advertisements • Incorporated Linear Regressions and Inferential Statistics to model explanatory variables for Cost Per Action in R • Initiated the use of Machine Learning Algorithms such as Decision Tree, Random Forest and Apriori to find associations between variables, optimize ad performance and create visualizations for most frequent sets of variables in R • Presented and explained exploratory data analysis in PowerBI and visualizations to the Director of Business Intelligence

University of California, Santa Barbara

Economics, BS•  September 2017 - June 2019

Coursework in: Advanced Econometrics, Advanced Microecon theory, Data Science in R, Game Theory, Linear Algebra, Behavioral Finance.

Los Angeles Valley College

Mathematics, A.S.•  August 2015 - June 2017

Full-time honors community college student while working 20-30 hours a week at a local family office insurance group. Balanced a heavy workload in order to fund myself through college. Dean's Honor List and awarded Pell Grant. Dual Associate's Degrees in Mathematics and Economics. 3.7 GPA