Role: SOLUTION ARCHITECT / APPLICATION ENGINEER

Customer: Everseen

Tasks:

The world's leading retailers trust and rely on Everseen's Visual AI? solutions to improve their bottom line by minimising shrink, streamlining operations, and helping to deliver a better customer experience.

• Designed and lead the implementation of a robust and scalable solution architecture to support Computer Vision AI models in Python and Azure Cloud.
• Collaborated with product managers, development leads and architecture peers to understand business requirements and translate them into viable technical solutions
• Defined best practices for data engineering, feature engineering, and model deployment
• Collaborated with third-party systems and integrations: POS systems, Vision AI Cameras, Payment Merchants, Hardware systems, Azure Cloud Storage, Azure SQL DB
• Designed and optimised data pipelines for efficient data extraction, transformation, and loading (ETL) processes
• Ensure data security and compliance with relevant regulations throughout the entire data science and AI training lifecycle
• Collaborated effectively with cross-functional teams, including data scientists, AI researchers, annotators, engineers, and business stakeholders
• Communicated technical concepts and solutions to non-technical stakeholders and clients
• Evaluated and enhanced existing frameworks and developed new architecture frameworks that were used by agile teams responsible for feature development
• Provided guidance and support to assigned development teams from planning through execution in scoping, design and implementation of functional epics/features ensuring that overall solution vision is on track, right technical trade-offs are made, and issues are identified and resolved on time
• Participated in sprint and system demos for agile teams to maintain visibility on product progress, quality and interdependencies throughout the lifecycle
• Mentored and coached developers and other technical resources and helped them improve the quality of their work

Role: SOLUTION ARCHITECT, PYTHON DISCIPLINE LEAD

Customer: Pentalog

Tasks:

Pentalog, a division of Globant, is a customer-oriented IT engineering group providing IT outsourcing and consulting services to startups,

SMBs and multinational companies.

• Python Discipline Technical Lead: architecture, libraries (NumPy, Pandas), frameworks (Django, Flask, Pyramid), AWS and Azure cloud, SQL and NoSQL DBs, Caching (Memcached, Redis), Lambda Functions, Quality and Security Analysis (SonarQube), Docker
• Pre-Sales Technical Consulting, Solutions Architecture, Technical and Quality Audits, Project Estimations, Release Planning, Budget, Negotiation
• Product Management and projects ramp-up
• People Management - mentoring, skills assessment, yearly performance evaluation, career plan, coaching

Skills:

NumPy | Pandas | Django | Flask | Pyramid | Memcached | Redis | SonarQube

Role: PYTHON SOFTWARE ENGINEER

Customer: UberResearch

Tasks:

UberResearch is a software solutions company pet of the Digital Science Group, which helps funding organisations, nonprofits, and governmental institutions make more informed decisions about science funding.

• Development and optimization of data pipelines, ETL processes, and data warehousing solutions to support the analysis and reporting of products data
• Architect and implement cloud-based data platforms and infrastructure using technologies such as AWS, Azure, or Google Cloud Platform, ensuring scalability, reliability, and security
• Designed and implemented data models, schemas, and database structures optimised for efficient data storage, retrieval, and processing in support of analytical use cases
• Developed and implemented data governance policies, data quality standards (SonarQube), and best practices (Linters) to ensure data integrity, accuracy, and compliance with regulatory requirements
• Evaluated and implemented new Python libraries, tools, and frameworks to enhance data engineering capabilities and drive innovation in data processing and analytics

2013 - 2015: Developed a dynamic application built in Python

Role: SENIOR SOFTWARE DEVELOPER / CONSULTANT

Customer: Intersynq, US

Tasks:

Developed a people search application with criminal records in USA based on internal cache and external API's, with traffic over 1 million visits per day.

• Technical consultancy for clients and stakeloders
• Product Ownership. Write the technical and functional requirements and keep the documentation up to date
• Developed a dynamic application built in Python to gather all social details and criminal records for a person from important social networks API's: Facebook, LinkedIn, Google+

Skills:

Python | Flask | Redis | PostgreSQL | Postman

Role: SOFTWARE DEVELOPER

Customer: MiOS, Bootsn'all, Eye Partner, YoungTek Solutions LTD

Tasks:

Software Developer role within multiple companies, developing web products and apps.

• Built an Administration platform for Home Automation devices and clients management systems
• Built video content broadcast web applications: Video Store, Video on Demand, Pay Per View Systems, Pay Per Minute Systems, TV broadcast, integrating with live payment merchants: CCBill, Epoch, NetBilling, ClickAndBuy, Pay123 etc.)
• Developed a Social network and dating application
• Built T ravel & Online Booking web application for trips and hotels (w/ third party API's from: HostelWorld, Booking.com, Hostel Bookers, Expedia )
• Last Minute airfare deals application (w/ API's from Expedia, Kayak etc.)
• Travel Blogs for round the world destinations
• Developed a Pinterest app copy from scratch

Skills:

PHP | Cake | CodeIgniter | SQL databases | In memory Caching | Redis | Unix Servers