Victor Dusa

Software Engineer

Austin, Texas, United States5 yrs 2 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Achieved 95% reduction in payout time at Coinbase
  • Led large-scale data migrations at PayPal
  • Developed advanced AI models in personal projects
Stackforce AI infers this person is a Fintech-focused Software Engineer with expertise in distributed systems and data engineering.

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Skills

Core Skills

Software DevelopmentCloud ComputingDistributed SystemsData EngineeringDatabase Management

Other Skills

JavaKubernetesMongoDBApache KafkaOracle DatabaseSQLGoogle Cloud Platform (GCP)Apache AirflowGo (Programming Language)SnowflakeAmazon Web Services (AWS)Artificial Intelligence (AI)C#Data ScienceNatural Language Processing (NLP)

About

I am a dynamic and results-oriented Software Engineer with a proven track record of delivering high-impact solutions at leading technology companies such as Netflix, Coinbase, PayPal, and Visa. Most recently at Coinbase, I oversaw the development of a robust Apache Kafka–based distributed system that reduced daily staking payout time for 2.5 million daily transactions from 10 hours to just 30 minutes—achieving a 95% decrease in payout duration for over $600 million in annual fund flows. Additionally, I led the design and implementation of a MiCA-compliant asset segregation solution, protecting approximately $40 million in annual revenue by ensuring Coinbase’s continued access to the expanding European staking market. Prior to Coinbase, I spent three years at PayPal spearheading large-scale data migrations and real-time replication efforts. I successfully transferred 135 million records to a newly optimized Oracle DB schema, increasing system durability and availability, and delivered a 50% reduction in database latency for over 10,000 daily transactions by enhancing a robust Java daemon service. My passion for innovation extends to my personal projects, where I've utilized Tensorflow to develop natural language processing models and engineered a high-performance Kafka-based matching engine, demonstrating my ability to handle over a million trades per second. Additionally, I've developed a GPU-capable ROUGE L metric for neural summary model reinforcement and evaluation, which underscores my expertise in leveraging advanced AI and machine learning technologies to drive efficiencies and improvements. I am not only technically proficient in programming languages such as Java, Python, and C/C++, but also in a multitude of technologies including Kafka, Docker, Kubernetes, and Mesos. My proficiency extends to AI frameworks like PyTorch and Tensorflow, and I am well-versed in database management with OracleDB, SQL, and NoSQL. An enthusiastic and forward-thinking professional, I am always eager to employ my technical skills and innovative mindset to solve challenging problems and contribute to the success of my team and organization.

Experience

5 yrs 2 mos
Total Experience
2 yrs
Average Tenure
1 yr 2 mos
Current Experience

Netflix

Software Engineer

Mar 2025Present · 1 yr 2 mos · Austin, Texas Metropolitan Area

  • - Big Data Orchestration
JavaKubernetesSoftware DevelopmentCloud Computing

Coinbase

Software Engineer

May 2024Feb 2025 · 9 mos · Austin, Texas Metropolitan Area

  • - Achieved a 95% reduction in payout time for $600 million in annual fund flows by reducing daily staking payout time from 10 hours to 30 minutes for 2.5 million daily transactions.
MongoDBKubernetesDistributed SystemsData Engineering

Paypal

Software Engineer

Feb 2021May 2024 · 3 yrs 3 mos · Austin, Texas Metropolitan Area

  • Successfully transferred 135 million records to an optimized Oracle DB schema, supporting new sophisticated functionalities and increasing system durability and availability, by orchestrating and executing a large-scale data migration.
  • Delivered a 50% reduction in database latency by leading design and implementation of a real-time data replication solution, processing over 10,000 transactions daily by enhancing a robust Java daemon service.
JavaKubernetesData EngineeringDatabase Management

Visa

Software Engineer

Jun 2020Aug 2020 · 2 mos · Austin, Texas Metropolitan Area

  • - Engineered web services using Java Spring and JDBC for data recording and analysis to enhance client engagement with Visa's payment methods and rewards programs.
JavaSQLSoftware DevelopmentData Engineering

Education

The University of Texas at Austin

Bachelor of Science - BS — Computer Science

Aug 2017May 2021

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