Business Intelligence
Asset Risk Management
Financial Information Extraction
Credit Card Payment
Statistical Analysis
Cryptocurrencies
Web Data Collection
Internet Search
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Recent Projects
Novel LLM-based Analytic System to Support Asset Price Prediction
System: Specific details are protected by NDA. However, this system - developed over a number of years - involved creation of a unique architecture utilising LLM technology in a novel way.
Client: NDA Protected
Technologies: Llama3-70B (and other LLM and ML models), vLLM, Python, Transformers, Algorithms
Problem: NDA Protected - but relates to asset price prediction
Solution: The innovative approach involved making an analogy between the "fuzzy" system we needed to model, and certain more rigorously defined mathematical/physical systems. Specific details are NDA protected. For the implementation we took advantage of per-hour cloud GPU rental to perform the necessary heavy processing as cost-efficiently as possible.
iOS and Android Mobile App for Supporting SaaS Platform User Accounts
System: iOS and Android app to allow users of a SaaS platform to enter OTPs remotely
Client: MePATool
Technologies: Apache Cordova, Javascript, Perl
Problem: Users need to provide OTPs to automated processes so they can log in to the target portal.
Solution: When automated processes encounter a request for an OTP a push notification is sent to the users device. The user is able to provide the OTP directly in the app and this is relayed back to the waiting process, which can then proceed.
Distributed web automation system for public sector ecommerce
System: Distributed web-automation application simplifying tasks on a public sector ecommerce portal
Client: MePATool
Technologies: Perl, Javascript, Mojolicious, Hypnotoad, SQL
Problem: The workflow required for public sector ecommerce in a particular jurisdiction can slow down business.
Solution: 7 subsystems have been created and are maintained by Virtual Blue, including client executables, API, Web Admin and web-automation processes. Multithreaded headless Chrome instances are controlled via a custom process management system. Rendering browsers tend to be memory hungry which is one reason the system is distributed across several servers, in order to cope with traffic spikes. Recently very low error rates have been achieved.
Hall of Achievements
Yury Kisurin

Coding Challenge
Marton Papp

Coding Challenge
Abhinav Thakur

Stripes Waypoint
Joel Pacheco

Gauntlet Waypoint
Andrew Bilous

Creativity
Victor Khachatryan
