We are an experienced and results driven team
We are proficient in the latest cloud-based and big data tools and technologies. We have extensive logistics and warehousing sector experience and we used to (together or apart) create solutions for retail distribution, transportation, operational optimization, postal services, fashion retail and consumer staples.
At present, introduction of advanced models into business solutions is a promising way to enhance efficiency of operations. However, this type of projects requires deep knowledge in many independent areas such as software development, math, database theory, domain expertise, technical writing etc. Thus, it makes sense to hire a team, rather than an employee, because an expertise of each team member is deeper and they combine their skills which allows to deliver the first results faster.
Certified cloud solution architect with 15+ years IT experience.
Delivered over 30 practical, efficient, innovative and customer-focused solutions in accordance with the cybersecurity policy and architectural standards of companies. Among these projects: video analytics to optimize the placement of employees, media equipment and ATMs in banking branches, automation of a Helpdesk based on NLP automation of a chatbot and transition to MSA-based solutions.
PhD in mathematics, expert in topological data techniques. Worked on research projects dedicated to geometry of loss-function of neural networks. Design, conduct, and report results from prototype or proof-of-concept research projects that focus on new methods and algorithms.
His research focus on bespoke gradient boosting frameworks provides a solid foundation for non-trivial diagnostic surveys as opposed to plain categorization and prediction problems.
Develops and maintains Data Lakes using PySpark, creating advanced algorithms for processing time series data.
Designs system architectures for data storage and processing, implements complex ETL processes, and optimizes their performance. Her responsibilities include domain analysis to deliver solutions that meet stakeholder needs.
Oversees development, ensuring solutions comply with organizational quality standards. Designs role-based access policies for data on projects.
Data architect with over 10 years IT experience across sectors and architecture domains.
Corporate to project data architecture, operating model & governance, master data management, metadata management, data modelling (conceptual/logical/physical), database design, data warehousing both relational and dimensional.
Experience in building both scalable platforms for SaaS and cost-effective data warehouses for private retail companies.
Develops technical specifications and functional requirements. Communicates business needs to tech experts and oversees aligning technical solutions with organizational objectives.
Strong interpersonal and communication skills, allowing for seamless collaboration with cross-functional teams and stakeholders.
Creates comprehensive technical specifications. Adept at documenting complex processes, ensuring transparency and traceability throughout the system development lifecycle.
Conducts requirements analysis and prepare proposals for replacement systems.
Maps and documents interfaces between systems. Make flow charts, system specifications, feasibility studies, and functional requirements. Write customer-friendly documentation. Troubleshooting, 3rd line support.
Competent SQL developer. Oversees the quality control of implementation, ensuring that data is accurate, up-to-date, and compliant with the organization's quality standards.
A data scientist with a PhD in Molecular Biology and extensive experience in graph algoritms, bioinformatics, and machine learning.
Specializes in NLP, LLM (embeddings of texts and graphs) and time series analysis. Creates high-quality predictive models for seasonal demand fluctuations using various models like Holt-Winters smoothing. Combines a strong academic foundation with practical expertise in Deep Learning.
Co-authored over 50 scientific publications, speaker at international conferences, and consistently delivers impactful solutions in diverse domains.
Strong track record of industrial research, with an emphasis on solving real-world problems in logistics and geospatial problems. Impressive track record of making LSTM networks for predictive maintenance, integer programming for warehouse/supply chain operations optimization etc.
As a happiness manager he is responsible for creating a positive and supportive work environment. Developed various initiatives to boost employee engagement, including organizing team-building activities and wellness programs.
He conducted regular surveys to measure employee satisfaction. Also he played a key role in promoting work-life balance and have implemented strategies that have led to higher employee retention rates.
Overall, Fiji is responsible for fostering a culture of well-being and motivation within the company.