# Dainis Gorbunovs

> Software Engineer, Crypto DeFi, (right to work in US & UK)

Location: New York, New York, United States
Profile: https://flows.cv/dainis

Software Engineer in New York and London with a background in Artificial Intelligence and Computer Science. Open to hearing new ideas

## Work Experience
### Software Engineer @ Bittrex
Jan 2023 – Present | New York, New York, United States
- Expanded admin utility tool (in C#, MS SQL) with a feature to integrate new crypto currencies to the platform, including deployment of a deposit sweeper smart contract.
- Upgraded system to support receiving BTC deposits to native Segwit (P2WPKH) addresses alongside legacy (P2PKH), reducing fees and improving transaction scalability.

### Software Engineer @ Copper.co
Jan 2022 – Jan 2023
- Led key full lifecycle projects within a Service Oriented Architecture, notably developing a transaction simulation service using Scala, Docker (Mesos + Marathon), and AWS. This improved transparency for cryptocurrency token transfers and dApp interactions, significantly enhancing client safety during contract execution.
- Implemented a transaction hash signing system with a focus on client privacy, using Node.js, Scala, and React, which secured transactions exceeding $50m.
- Developed scalable REST APIs and managed complex business flows for blockchain integration, enabling Avalanche and Ethereum crypto staking. This led to over $26m in client stakes at 8%+ reward rates.
- Promptly resolved high-stakes issues such as a $100k deposit that was stuck in payment system processing due to a concurrency race condition in Postgres, demonstrating swift troubleshooting and problem-solving skills.
- Developed a batch deposit contract in Solidity, enabling 8000 ETH staking per transaction, reducing gas fees and ensuring scalability. Verified its robustness with Hardhat testing.

### Software Engineer @ Freetrade
Jan 2020 – Jan 2022 | London, England, United Kingdom
Worked in Discover & Insights team. Created a Price Streamer for securities, user investment performance metrics (MWRR, TWRR), worked on SIPP pension account onboarding/management.

- Led a team of 4 engineers in the end-to-end development of a real-time Node.js microservice project, orchestrated by Kubernetes. This project dramatically increased stock price update frequency from every 4-5 minutes to nearly every second, enhancing user experience, influencing investment decisions, and boosting the DAU/MAU rate by 4%.
- Architected and managed a scalable GCP cloud infrastructure, including Node.js (TypeScript) REST APIs and Pub/Sub event-driven cloud functions, Firestore database, Airflow pipelines, and BigQuery analytics. This infrastructure supported personalized portfolio metrics for 1.5M+ daily users.
- Mentored junior engineers, fostering knowledge sharing and enhancing productivity, leading to a more robust infrastructure.
- Optimized and built ETL data pipelines in a large shared codebase in Airflow using Python, achieving savings of over $150K annually in cloud computing costs.
- Engineered a proof-of-concept web platform using Next.js (React and TypeScript) in under a week, fast-forwarding the company's roadmap by 2 months, highlighted in the 2022 crowdfunding pitch deck.
- Maintained 99.95% uptime during on-call duties, swiftly addressing incidents, activating backup pipelines as needed, and conducting post-mortem analyses to effectively resolve critical pipeline errors.

### Software Engineer @ MathWorks
Jan 2018 – Jan 2020 | Cambridge, England, United Kingdom
Worked on Deep Learning (object tracking via Fully-Convolutional Siamese Network SiamFC) and Azure cloud projects.

- Enhanced Deep Learning models in MATLAB by introducing checkpoint loading for seamless training resumption.
- Boosted AUTOSAR validation performance by 15% by porting MATLAB code to C++.

### Software Engineering Intern @ Skyscanner
Jan 2017 – Jan 2017 | Edinburgh, United Kingdom
Interned in Flights Pricing, worked on the migration of data centre services to AWS cloud computing.

- Improved responsiveness by decreasing P95 latency to under 60ms by migrating monolith to scalable containerised microservices using Java, Python, DynamoDB, RabbitMQ and Kubernetes in AWS.

### Software Engineer @ Net Trading Solutions
Jan 2016 – Jan 2017 | Manchester, United Kingdom
Full-stack development of the largest nationwide business-oriented social networking platform Professionals UK with over 12,000 active members.

* Front-end work with HTML5, Sass (CSS3), Angular.JS.
* PHP (Symfony), MySQL (Doctrine ORM), Elasticsearch, Redis cache, Amazon Web Services (S3, SNS, SES). OAuth integration with Facebook, Google. Tweet integration with Twitter.
* Linux server management, Apache, Let's Encrypt SSL.
* Leading a small team of developers.


## Education
### Master of Science - MS in Artificial Intelligence
The University of Edinburgh
Jan 2017 – Jan 2018

### Bachelor of Science - BS in Computer Science
The University of Manchester
Jan 2014 – Jan 2017

### Regular/General High School/Secondary Diploma Program
Riga State Gymnasium No. 1
Jan 2007 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/dainisgorbunovs
- GitHub: https://github.com/DainisGorbunovs
- Website: https://stackoverflow.com/users/5625738/dainis

---
Source: https://flows.cv/dainis
JSON Resume: https://flows.cv/dainis/resume.json
Last updated: 2026-03-22