Every project below is a real engagement with measurable outcomes. No fluff, no vanity metrics, just results that moved the needle for our clients. We have shipped production systems for dental practices, commercial banks, global fintech platforms, national logistics operators, food delivery companies, and ride-sharing platforms.
Category: Healthcare AI. Duration: Ongoing. Team size: 2 engineers. Tech stack: Next.js 14, Vapi AI, Supabase, Twilio, OpenAI.
Small and mid-size dental practices were losing booked appointments every week because front desks could not answer during peak hours and after-hours calls went to voicemail. We productized the DC AI Receptionist, a Vapi-powered voice agent backed by a Next.js and Supabase dashboard, and rolled it out as a per-practice tenant. Each deployment got a custom voice, a knowledge base scoped to that practice services, and appointment intake that hands the lead to the front desk with a transcript, AI summary, and SMS follow-up.
Results: Deployed to five active dental practices, zero missed after-hours calls across every tenant, new-patient intake handled end-to-end in under two minutes, and a per-practice dashboard exposing every call, recording, transcript, and intent classification. The same productized stack ships per-tenant in under two weeks.
Category: Enterprise Banking. Duration: Ongoing. Team size: 6 engineers. Tech stack: Angular, .NET Core, SQL Server, OBDX API, Oracle.
HBL, one of the largest commercial banks in Pakistan, required a complete digital transformation of their Trade Finance operations. Legacy systems were causing delays in Letter of Credit processing and manual data entry errors in SWIFT messaging. Our engineers were embedded directly into HBL core banking team and architected critical Trade Finance modules on the OBDX platform including LC Issuance, Amendment, Advising, and Shipping Guarantee workflows.
Results: Delivered 12+ production-grade Trade Finance modules, reduced Letter of Credit processing time by 65%, integrated real-time SWIFT messaging, engineered multi-currency scaling logic handling 50,000+ daily transactions, and achieved 99.99% uptime SLA.
Category: FinTech. Duration: Ongoing. Team size: 4 engineers. Tech stack: Angular, Java, Oracle DB, REST APIs, Microservices.
Finastra, a global leader in financial technology serving over 8,000 institutions, needed specialized engineers to extend and optimize their Oracle Banking Digital Experience platform. The challenge was mapping complex hierarchical database schemas to modern REST API surfaces while maintaining zero-tolerance data accuracy for regulated financial transactions. We worked on deep database-to-API mapping, writing complex stored procedures for currency scaling, multi-party identification, and event-based transaction tracking.
Results: Mapped and delivered 200+ REST API endpoints, achieved 100% data accuracy across all financial transaction APIs, reduced API response latency by 40% through query optimization, and supported global deployment across multiple Tier-1 banking institutions.
Category: Logistics and Mobility. Duration: 16 weeks. Team size: 5 engineers. Tech stack: Flutter, Firebase, Google Maps API, Node.js, GPS.
Tanzania Posts Corporation needed a modern logistics and mobility platform to digitize their national postal and delivery operations. Their fleet of 500+ vehicles was managed through manual dispatch and paper-based tracking with zero real-time visibility. We built cross-platform driver and user applications using Flutter, backed by Firebase for real-time data synchronization, with live GPS tracking, trip management, automated dispatch, and delivery confirmation with photo proof.
Results: Delivered cross-platform apps for iOS and Android, improved delivery efficiency by 45% through optimized routing, enabled real-time GPS tracking for 500+ fleet vehicles, achieved 10,000+ app downloads within the first quarter, and built a centralized web dashboard for fleet monitoring.
Category: Operations Engineering. Duration: 12 months. Team size: 3 engineers. Tech stack: React, Node.js, PostgreSQL, Redis, Microservices.
Foodpanda rapidly scaling delivery operations in South Asia required robust internal tooling to manage high-volume order processing, rider allocation, and real-time performance monitoring. Our engineers were embedded into the operations engineering team and built internal dashboards for real-time order tracking, rider performance analytics, and zone-level demand forecasting, with backend services optimized using Redis caching and database query tuning.
Results: Improved order processing throughput by 35% during peak traffic, reduced internal dashboard load times from 8+ seconds to under 2 seconds, built real-time rider performance dashboards, and optimized database queries handling millions of daily order records.
Category: Platform Engineering. Duration: 8 months. Team size: 2 engineers. Tech stack: Python, Go, Apache Kafka, PostgreSQL, Kubernetes.
Uber platform engineering division required specialized engineers to contribute to data pipeline optimization and backend service reliability. The challenge involved processing millions of real-time events per hour while maintaining strict data accuracy standards across geographically distributed systems. Our senior engineers were embedded into the platform team, contributing to event-driven data pipeline optimization using Apache Kafka and improving service reliability through containerized microservices on Kubernetes.
Results: Contributed to 50% improvement in data pipeline processing speed, maintained 99.99% data accuracy across real-time event processing, supported processing of 1M+ events per hour, and improved deployment frequency by 3x through CI/CD pipeline enhancements.
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