Carla Lopez
Hola!

I'm Carla Lopez. I'm a passionate learner with +1 years of experience in Software and Data Engineer. I am currently seeking 2027 full-time roles. Please feel free to reach out to me via email or LinkedIn if you would like to connect!

01
EXPERIENCE

Research Assistant

Graph Oriented Lab - Rochester, NY

May 2026 – Present

  • Developed a high-performance Python ETL pipeline to ingest and normalize 200k+ software vulnerability records from Google’s open-source OSV database and 72+ million package information from PyPI ecosystem into a MySQL adjacency list, resolving complex PEP-compliant specifiers in-flight.
  • Architected a Supply Chain Vulnerability system using a Java embedded Neo4j graph database, writing highly responsive, optimized Cypher queries to execute security assessments across dependencies.

Lead Software Engineer

Accessible Learning Labs - Rochester, NY

December 2022 – Present

  • Engineered and maintained scalable React-based web applications, contributing to an open-source project funded by the NSF aimed at advancing AI/ML education and supporting 40+ higher education schools in the US.
  • Exhibited ownership by leading a team of 3 to successfully deliver outreach events, sparking interest in computer science and cybersecurity among 100+ students from K-12 and undergraduate institutions.

Data Engineer Co-op

Oracle - Remote

June 2025 – December 2025

  • Designed and built an end-to-end ETL data pipeline using Python and SQL to ingest, transform, and load large-scale datasets from OCI Object Storage into Oracle Data Warehouse for analytics and reporting.
  • Built automated data generation and validation Python tools producing 5M+ records to support analytics testing, data accuracy verification, and pipeline scalability.

Software Engineer Co-op

Vicor - Boston, MA

June 2024 – December 2024

  • Designed and built Spring Boot services to extract, cleanse, and transform 30+ critical data objects from an Oracle distributed database to support enterprise analytics and SAP reporting systems.
  • Optimized and re-engineered 50+ SQL workflows processing over 15M records, improving pipeline execution performance by 30% while ensuring data quality and consistency during large-scale ERP migration.

Software Engineer Intern

MS4M Mining - Lima, Peru

May 2023 – September 2023

  • Designed and deployed scalable Spring Boot RESTful APIs, implementing backend business logic with Dijkstra’s algorithm to compute optimal mineral transport paths, reducing path computation time by ~30% in a cloud-based fleet management system.
  • Enhanced software quality and reliability by designing and implementing robust unit and integration tests with JUnit and Mockito, achieving an exceptional 90% code coverage within Azure DevOps pipelines for improved CI/CD workflows.
02
PROJECTS
Sleeper

Sleeper

Engineered a data pipeline that captures audio on an ESP32 Arduino, sends it to a backend transcription service using Whisper open-source model, and showcases the transcription in a web interface

PythonDockerC++ESP32Svelte
Informate.pe

Informate.pe

Created an informational platform for the 2026 peruvian elections, automated the creation of 30+ candidate profiles including their political history, background summary, and social media sentiment analysis. Utilized LLMs to summarize and standardize the information across all candidates.

PythonFlaskLLMsReactWeb ScrapingData AnalysisPostgreSQL
Ollama Knowledge Graph ChatBot

Ollama Knowledge Graph ChatBot

Design and develop a Python-based tool leveraging locally hosted large language models via Ollama to analyze relationships between knowledge graphs

PythonOllamaKnowledge Graph
SHPE Smart Mirror

SHPE Smart Mirror

Lead a team of 5 students to design and develop a smart mirror software from scratch, including facial recognition and a touchscreen interface.

PythonFlaskReact
Minecraft Biome Classifier

Minecraft Biome Classifier

Developed an image classification system to identify Minecraft biomes, evaluating and comparing performance between KNN, Random Forest, and CNN classfiers

CMicrocontrollerSensorsControl Systems
CASSIDY

CASSIDY

Designed and deployed a cloud web application in AWS that analyzes cat photos using AWS Rekognition computer vision to extract traits (breed, activity, features) and match them with relevant SubReddits such as r/Catloaf, r/mewmew, or r/blackcats

AWSTerraformReactPythonAWS Rekognition
03
CONTACT
Feel free to contact or reach out via any of the methods below !

Connect on LinkedIn

@carlitals16

Explore on GitHub

@csl5623

Download my CV

Carla Lopez CV.pdf