Building scalable, high-throughput backend systems for digital banking. Specializing in Java microservices, event-driven architectures (Kafka), and low-latency transaction processing serving 1M+ users.
I am a Software Engineer with 3+ years of experience building scalable, high-throughput systems for FinTech and digital banking.
At Bank Al Habib, I specialize in Java microservices (Quarkus, Spring Boot) and event-driven architectures using Apache Kafka. My work focuses on real-time payment infrastructure, transaction processing, and observability platforms at production scale. I successfully reduced API response times from ~300ms to ~20ms, enhancing system stability and user experience for over 1M+ users. With an MS in Computer Science (CGPA: 3.89) and a background in Petroleum Engineering, I bring strong analytical and system-level thinking to complex engineering problems.
Designing systems meant to scale from day one, utilizing asynchronous event-driven architectures (Kafka) and caching strategies (Redis) to support millions of concurrent users.
Integrating event-driven workflows with payment gateways like RAAST to enable instant, secure, and reliable national payments at production scale.
Treating deployment and monitoring as first-class citizens. Extensive use of Docker, CI/CD automation, and ELK observability to maintain 99.99% system availability.
Built an offline-first mobile reporting platform with live geolocation, media capture, and dynamic forms. Orchestrated microservices with PostGIS for geospatial analytics and DBSCAN for hotspot clustering. Delivered an AI-driven multilingual GPT-based chatbot achieving 86.7% accuracy with sub-1-second latency.
Architected a Quarkus-based service layer using State Design Pattern, Redis caching, and Uni/Mutiny for async processing. Designed for reuse as a reference architecture for workflow-driven services within the team.
Configured observability dashboards and structured logging on the bank’s ELK Stack across 20+ microservices, enabling real-time monitoring and faster incident response.
A lightweight network connectivity diagnostic utility available globally via the Snap Store. Built with Python.
An open-source, cross-platform CLI tool for port inspection & debugging. Docker-aware and pip-installable.
Java
Python
Apache Kafka
Redis
Docker
PostgreSQL
ELK Stack
Microservices
React NativeCGPA: 3.89 / 4.0
Thesis: AI-based Accident Reporting System (Flask, React Native, Java, PostGIS, LLM - 86.7% accuracy)
CGPA: 3.91 / 4.0
Thesis: Optimization of Gas Lift Systems in High Water-Cut Oil Wells
I'm currently open to new opportunities, including international roles and visa sponsorship. Whether you have a question or just want to say hi, I'll try my best to get back to you!
