Our Projects

The client's existing LMS, built on outdated technologies, posed security risks and limited scalability and performance. It required a comprehensive update to modern standards to enhance security and meet increasing customer demands.

UVIK designed a robust solution to modernize the existing LMS system, making it secure and scalable. The upgrade plan included enhancements to the technology stack, security protocols, and system performance to support the client’s educational objectives.

A growing online customer base strained the retailer's limited team, hindering efficient and automated customer service solution.

A custom AI chatbot was implemented to automate website interactions and free up the retailer's team.

The AI chatbot provided 24/7 customer support, increased sales conversions, and boosted customer satisfaction.

CommunityConnect Labs enables governments and foundations to communicate with hard-to-reach populations via mobile messaging. As demand for real-time census and survey data grew, their internal engineering team faced a bottleneck. They needed to move from sporadic updates to frequent, reliable releases without breaking the critical communication pipelines used by vulnerable communities. They required a partner who didn't need "hand-holding"—someone who could push code on Day 1.

Uvik deployed a Senior Python Engineer (7+ Years Exp) to act as a "Force Multiplier" for the client's core team. - Process Integration: Unlike typical external vendors who work in isolation, our engineer fully adopted the client's internal Agile/Asana workflows, participating in daily stand-ups and sprint planning as a native team member. - Architecture Refactoring: We optimized the Django backend to handle high-concurrency messaging bursts, ensuring the platform remained stable during critical public outreach campaigns. - Quality Assurance: Collaborating with our internal ISTQB-certified QA standards, we implemented automated regression checks that allowed the client to ship features faster with fewer manual reviews.

Release Velocity: Reduced the feature deployment cycle from 2 weeks to 3 days, enabling the client to respond rapidly to changing government requirements. System Reliability: Maintained 99.98% API Uptime during peak messaging campaigns (e.g., Census outreach), processing thousands of concurrent SMS interactions. Onboarding Speed: The Uvik Senior Engineer merged their first production Pull Request within 48 hours of contract start, validating our "Zero Ramp-Up" promise. Operational Efficiency: Refactored legacy Python modules to reduce technical debt, decreasing the average "Bug Fix Time" by 40%.

A US-based e-commerce platform needed to aggregate pricing and inventory data from 50+ competitor marketplaces in real-time to adjust their own dynamic pricing algorithms. Their existing solution was slow, constantly blocked by anti-bot measures, and failed to handle the volume of data (millions of SKUs), leading to stale pricing strategies and lost revenue.

Uvik provided a "Plug-and-Play" team of Senior Python Data Engineers who specialize in high-volume data scraping and ETL architectures. Distributed Architecture: We architected a distributed scraping cluster using Python and Celery, capable of parallel processing across hundreds of IP nodes to bypass rate limits. Data Integrity: Implemented a data validation layer (QA'd by our ISTQB-certified team) that automatically flags and rejects "poisoned" or incomplete data before it enters the client's pricing engine. Anti-Detection Strategy: Designed a sophisticated rotating proxy network with browser fingerprint management to ensure 99% success rates in data retrieval.

Data Throughput: Scaled data ingestion from 50,000 to 1.5 Million SKUs daily, providing the client with near real-time market visibility. Success Rate: Increased successful scrape requests from 60% to 99.2% by implementing intelligent retry logic and proxy rotation. Revenue Impact: The real-time data feed enabled the client’s dynamic pricing engine to adjust prices 4x faster, contributing to a 15% increase in gross merchandise value (GMV). Operational Stability: Reduced "Broken Pipeline" incidents by 90%, freeing up the client's internal DevOps team to focus on core platform features.

Our client required top-level software developers with experience in cybersecurity.

4 Senior Python Architects: (Avg. 7+ Years Exp) Focused on backend migration and AsyncIO performance tuning. 2 Senior React Developers: Responsible for the real-time "Command and Control" dashboard UI. 1 DevOps Engineer: Dedicated to building the CI/CD pipeline for rapid, secure deployment.

Scale: Successfully increased system capacity from 10,000 to 50,000 concurrent users (+400%) with zero latency degradation. Performance: Reduced API response times by 60% for critical "Emergency Alert" signals. Stability: Achieved 99.999% uptime during simulated stress tests, meeting the strict SLA requirements for government defense contracts. Modernization: Completed the Python 2 to 3 migration 2 months ahead of the "End of Life" deadline, securing the platform against future security vulnerabilities.

The client was seeking developers with niche-relevant experience to upgrade the backend architecture of the platform and boost its performance.

3 Python developers

Uvik developers helped the client with setting up PyTest test coverage and successfully migrated the platform from Python 2 to Python 3.