• 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.

• 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.

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.

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++.

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.