Viktor Andriichuk Email & Phone Number

London Area, United Kingdom

As the Co-Founder & AI Solution Architect at DataFlux Software, I spearheaded the development of innovative AI solutions tailored to meet specific industry needs. Leveraging advancements in AI technology, I led a team of professionals to create custom AI solutions and voice assistance systems for businesses across various sectors. Our goal was to empower companies to harness the full potential of AI and navigate the complexities of digital transformation to achieve sustainable growth.• Developed advanced machine learning models to automate processes and optimize data analytics.• Built intelligent customer support systems to create personalized experiences for clients.• Collaborated closely with clients to understand their challenges and deliver impactful, future-ready solutions.

London Area, United Kingdom

𝐃𝐨 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐚𝐧 𝐀𝐈 𝐞𝐱𝐩𝐞𝐫𝐭 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐛𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐢𝐝𝐞𝐚𝐬 𝐭𝐨 𝐥𝐢𝐟𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲?𝐀𝐫𝐞 𝐲𝐨𝐮 𝐟𝐚𝐜𝐢𝐧𝐠 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐰𝐢𝐭𝐡 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐨𝐫 𝐝𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬 𝐚𝐧𝐝 𝐧𝐞𝐞𝐝 𝐚𝐧 𝐞𝐱𝐩𝐞𝐫𝐭 𝐭𝐨 𝐠𝐮𝐢𝐝𝐞 𝐲𝐨𝐮 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞 𝐩𝐫𝐨𝐜𝐞𝐬𝐬?With 6+ years of experience as a Software Engineer, I specialize in AI, covering a wide range of Machine Learning (ML) fields, including Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).💡I'm here to support you on your AI journey 🚀, offering clear and impactful guidance without resorting to overly complex terminology.

Bucharest, Romania

GartTech, a company at the forefront of developing an innovative platform for client bots utilizing Large Language Models.- Directed the technical team in creating an updated core product, substantially enhancing platform efficiency. This initiative accelerated client bot development by 40 times and reduced costs by 80 times.- Established a transparent and fair grading system for technical specialists that incorporates an effective wage calculation method, ensuring contributions are recognized and fostering a positive work environment.- Set development standards that increased update deployment speed by ten times.- Designed a scalable project architecture, which made it possible to speed up the process of deploying client bots by 10 times and reduced system maintenance costs by 20 times.

Bucharest, Romania

Built solutions for:PICHE/HOTCODE – the Largest Latvian Construction Company/IT Department. Project to integrate an LLM agent into all internal CRM processes of the company:- While developing the CRM for internal use in the company, I implemented the LLM so that users using LLM could manage various processes in the CRM. As a result, this increased employee engagement in managing CRM by 50% and reduced time spent on routine tasks.- Integrated OpenTelemetry for automatic logging of all code processes, including errors, which decreased the time spent finding issues by 10 times.- Developed dashboards from these logs to monitor project status and identify critical code errors, increasing the speed of error detection and resolution by 200%.- Adopted Test-Driven Development (TDD) strategies, cutting the incidence of bugs by 50%.---Data Platform for Cryptocurrency Mining Farm Operation Statistics:- Collaborated with project stakeholders to gather requirements, designed a data collection and storage system, and developed a system for parsing data for multiple cryptocurrencies. Stored the data in MongoDB and launched the system to production, facilitating stakeholder efforts to attract investment.---Data Platform for Insights for Fabiosa Media - Ranked Top #4 Facebook Media Publisher Globally:- Developed a platform enabling businesses to discover data insights and create dashboards and recommendations using Generative AI. This innovation streamlined decision-making processes.

Bucharest, Romania

Clip Translator – A Startup and Pet Project for Automating Video Translation into Multiple Languages.- Led a team comprising three programmers and one UX/UI specialist, enhancing collaboration and productivity.- Streamlined project delivery to production through well-configured CI/CD processes, ensuring efficient updates and application deployment.- Pursued enhancements in data processing speed by optimizing algorithms and implementing parallelism.- Designed and implemented a scalable microservices architecture to manage high loads in video processing.- Developed machine learning models to determine speaker gender and transcribe spoken text.- Engaged directly with users through customer development to gather feedback on features and understand preferences for future functionalities.- Implemented objective analysis tools to monitor and interpret user behaviour.

Аланья, Анталия, Турция

Deloitte, recognized as the largest professional services network globally by revenue and number of professionals, stands among the Big Four accounting firms alongside EY, KPMG, and PwC.- Optimized client database accuracy by 50% fuzzy logic.- Pioneered introducing and successfully applying a blue-green deployment strategy on AWS, eradicating site downtimes during data updates, securing continuous user access, and illustrating a forward-looking and user-centric mindset.- Strategically converting CSV files to Parquet format improved data loading speed into Spark DataFrames by 400%, substantially improving overall data handling efficiency and processing speeds.- Achieved an eightfold decrease in data storage size in S3, driving cost savings of $35,000 per quarter.

Украина

Confidential Project in the U.S. Healthcare Domain Network of Sites.- Developed an autonomous system for local model testing which autonomously downloads a subset of data from Snowflake using statistical methods to ensure comprehensive testing variants - this approach effectively minimizes direct load on main storage and optimizes financial costs by reducing the load on Snowflake.- Engineered highly efficient ETL pipelines utilizing AirFlow and dbt, designed to meet the specific needs of the data science team by providing transformed and analysis-ready data.- Initiated and developed internal frameworks to integrate with Apache Airflow, enhancing data quality monitoring and testing of analysts' SQL scripts.- Piloted the adoption of pytest to fortify code stability and reliability, slashing bug-fixing time by 35% and expediting the verification process, saving 20+ hours weekly.- Created a service to filter spam in user comments and generate content recommendations on healthcare topics. - Implemented this service using FastAPI and data scientist-developed models, with enhancements in system efficiency and speed through optimization algorithms and integration of the numpy library for data processing.

Украина

PepsiCo:- Designed and developed a centralized data warehouse, provisioning data marts specifically for the PepsiCo carbonated beverage sales department targeting the African and South American markets.Appen:- Built a Data Mart on AWS RedShift, enabling business owners to access digitized results of the business performance for the first time. This transformation led to faster and more accurate decision-making, enhanced management strategies, and high satisfaction among key stakeholders.Analytics Dashboards:- Collected data from multiple sources and automated the retrieval process using Python and AWS Lambda Functions. Stored the data in AWS S3 and initiated ETL processes with AWS Glue to structure the information. - Utilized AWS Athena to create a data mart, which served as the foundation for analytical dashboards developed in AWS Quicksight. These dashboards provide management with deep analytical insights.- Implemented Terraform scripts to manage AWS API Gateway and Lambda Functions, ensuring optimal system functionality and integration, resulting in a 20% decrease in latency and enhanced user experience.

Украина

BSG - A Globally Renowned Company Specializing in SMS and Email Campaigns.AntiSpam Machine:- Developed an AntiSpam microservice for the marketing platform using Flask, MongoDB, Redis, and machine learning algorithms. The system reduced the cost of spam detection by 10 times.Data Lake and Data Warehouse (DWH):- Designed and built a Data Warehouse from scratch, overseeing architecture and development.- Constructed real-time ETL pipelines to transfer data from e-shops to the Data Lake.Recommendation System:- Recommendation System: Developed a recommendation system using machine learning techniques. The product increased the company's profits 3 times.Chat-bot:- Developed backend solutions for chat-bots on platforms such as Telegram and Facebook Messenger. The product increased the company's profits 5 times.

Украина

Магистр

Магистр Компьютерных Наук, Data Science