I'm a backend-focused software engineer who's most comfortable at the intersection of distributed systems, infrastructure, and security. I've shipped production systems across self-hosted Linux deployments and GIS applications — and I care deeply about the stuff that holds it all together: reliability, threat modelling, and clean architecture.

• 🎓 B.S. CS @ LUMS, Batch '26
• 🔭 Currently building ContinuumAI — an autonomous agentic data scientist using MCP
• 🌍 Previously contracted with National University of Singapore on a GIS flood research platform
• 🛡️ Interested in engineering production systems end-to-end — from architecture and reliability to security hardening

Languages

Backend & AI

Data & Infrastructure

Autonomous agent using Model Context Protocol (MCP) that reasons over complex datasets in real time.

• Exposes 5+ tools to a Python inference engine for multi-step decision-making
• Built a Parquet-to-SQL ETL pipeline + Chart Spec engine for structured data querying
• Hardened via STRIDE threat modelling & SonarQube — resolved 15+ security issues

Novel FL framework tackling data heterogeneity in distributed edge-AI environments.

• +16% accuracy gain via bidirectional knowledge distillation
• Benchmarked on high-performance Linux clusters using PyTorch

HA SQL Server cluster targeting 99.9% uptime on Kubernetes.

• Persistent volumes, network policies, and YAML-driven CI deployments
• Tuned 1M+ row database via partitioning and execution plan analysis

Distributed key-value store with full Raft consensus across 5 nodes.

• Sustains strong consistency under 2 simultaneous node failures
• Resolved 10+ race conditions; validated under adversarial network partition scenarios