kreshnikpireva

Led the full architectural design of a highly scalable, AI-driven trading platform, integrating custom algorithms for automated trading strategies. Developed a cloud-native architecture to support complex, high-volume transactions with fault tolerance and automated failover mechanisms. Architected the entire solution on AWS, designing a robust cloud infrastructure leveraging microservices, Docker containers, and Kubernetes clusters. Established multi-region redundancy to ensure high availability. Led a cross-functional team in aligning software and cloud infrastructure strategy with business goals. Translated high-level objectives into technical solutions that balanced reliability, scalability, and cost-efficiency, positioning the platform for long-term success in dynamic trading environments.

Worked on mission critical infrastructure for large organizations (Private and Government) and working with high quality teams to deliver scalable and reliable/secure enterprise software. As a DevOps consultant, responsibilities extended across the full software development lifecycle, from initial client consultation and requirements gathering to the development, testing, and final release of mission-critical applications. Examples include the design and deployment of AKS clusters on to Azure, configuring the network configuration, while also being responsible for implementing the CICD pipeline, and configuring the container images and underling code base for the applications that were to run on the cluster. Working within a multi-disciplinary team, I had exposure to a diverse range of technologies and tools. From backend databases to frontend user interfaces, my work spanned the entire tech stack, giving me a broad skill set and a holistic view of software development. Was tasked with handling production releases. This involved coordinating with various teams, rigorous testing of our products, and ensuring a smooth and error-free launch. Due to the mission-critical nature of the applications in question, these releases were high-stakes, high-pressure events where downtime was not permitted. This experience has greatly grown my ability to perform under pressure and enhanced my understanding of the importance of reliability and accuracy in software development. The projects worked on include intelligence software to manage and enhance security at the border and a Traveler pass project which allowed for digital passports to display traveler COVID information and assess the health risks present. The latter allowed for international travel in and out of the country after a long pause during the pandemic.

As the Lead Software Architect, I spearheaded the development and implementation of a highly sophisticated automated trading framework for currency exchanges. The C++ based backend enabled maximum performance for our real-time backtesting with the Python based API responsible for managing a users portfolio. This system was able to dynamically manage the distribution of total funds across diverse positions, adjusting allocations based on real-time market data. This strategic function optimized the portfolio management process, ensuring a well-balanced and diversified investment strategy. I also designed and implemented the integration of the ELK stack (Elastic) to log/monitor and visualize our portfolio and trading performance over time with real-time updates and extensive granularity available. Our final solution was deployed to AWS (using ECS) with the trading system (and ELK components) completely containerized and running in AWS's Kubernetes Cluster offering.

Was an engineer as a part of a highly skilled research team at the University of Auckland focusing on HCI research aiding professors in the development of a commercial product. This involved exposure to state of the art technology set to revolutionize computer interaction. The framework itself is developed as a Windows application utilizing C# and Javascript as the development languages. Day to day tasks involved implementing features planned by the product founders as well as working together to design further solutions and innovations in the product implementation.

Worked as one of the core developers for a translation phrasebook app on the iOS platform with 100,000's of translations between multiple languages such as English/Portuguese/Mandarin. Involved sophisticated understanding of objective-c and Xcode core data, view controllers and memory allocation. Also worked with NoSQL to handle the vast amount of data within the application. Day to day tasks involved the implementation of new features while maintaining the overall performance of the application. Also implemented an offline maps feature that allowed the user to download a map of their region from our server and view it offline at any time on the app. This required research on libraries to render the maps as well as an understanding of the file type to store the map vector data (.mbtiles).

Worked as a research assistant with University professors in the Compsci department to assist in implementing and carrying out a user study for a university project that was anticipated for commercial use. This involved planning and writing out the user study including the walkthrough of the study, script, questionnaire and data collection and analysis. The gathered results were later published in the same year. Simultaneously worked as a first/third year Compsci Tutor and Administrator. First year compsci course (105) - class focused on advanced data structures and theory using Python. Lectured weekly as well as preparing lecture slides and content. Overlooked collection of student marks and updating of the University database for the course. Also a marker for the final exams. Final year compsci course (345) - Human computer interaction class with emphasis on design principles and the psychological evidence for design choices. Weekly lectures and preparation of slides for students. Marked assignments. Post grad Medsci course focused on programming/tech in academic research. Worked with graduate Medsci students and helped in lectures overlooking students as they worked on in-class assignments. Also paired with students over the entire course to provide guidance for the overall semester project.