Senior iOS & macOS engineer with 5+ years building production software across security, enterprise, logistics, and digital forensics. Specialized in Swift, SwiftUI, UIKit, macOS system APIs, concurrency, networking, and modular architecture.

Currently engineering RECON LAB, RECON ITR, and RECON IMAGER at PureLogics for SUMURI, owning macOS forensic workflows across evidence acquisition, filesystem processing, indexing, analysis, and reporting. Background spans Network Extension, Per-App VPN, and MDM work, legacy Objective-C modernisation, and wrapping native C/C++ libraries as Swift Packages on Apple Silicon.

Education: Master of IT (Cyber Security), Western Sydney University · BS Computer Science, FAST-NUCES

RECON LAB — In Development
Native macOS forensic analysis suite.

• Evidence-indexing pipeline for forensic images, mounted volumes, logical captures, iTunes/Cellebrite/GrayKey iOS and Android backups, and Google Takeout.
• Streaming SQLite ingestion with Swift actors, bounded batches, and serialized writers to process large datasets without loading full result sets into memory.
• Forensic image mounting for E01/EWF, VMDK, VHD/VHDX, AFF4, DMG, RAW, and split-RAW via hdiutil, macFUSE, and native libraries.
• Email-container parsing, attachment extraction, and dtSearch full-text indexing.
• Project VIC workflows: VICS import, MD5/SHA1 matching, deduplication, and VICS 2.0 export.

RECON ITR — Released
macOS forensic imaging, triage, and reporting suite for Apple Silicon and Intel Macs, used in 40+ countries.

• Privileged filesystem access for collection across large directory structures.
• DMG and sparse-image case export with metadata-free evidence copying and optional MD5/SHA1 hashing.
• Unified macOS log collection with privilege elevation, cancellation, and typed failure states.
• File Timeline pipeline turning filesystem metadata into timestamped forensic events.
• Shared reporting architecture for PDF, CSV, and KML output.

RECON IMAGER — Released
Forensic imaging utility for Mac acquisition.

• Bootable and live acquisition of APFS volumes.
• Logical images and volatile-data capture.

DeliverMeat Ecosystem — Released
Three-app Swift/UIKit commerce ecosystem, built independently.

• Consumer, Driver, and Partner apps covering ordering, fulfillment, and merchant operations.
• Stripe payments, real-time order tracking, and inventory management.
• Owned end to end from requirements through App Store release.

_{Jun 2025 – Present · Lahore, Pakistan}

• Led native iOS and macOS engineering for SUMURI's RECON product line, owning architecture, technical decisions, and code quality for forensic tooling used in 40+ countries.
• Directed the native Swift rewrite of RECON ITR v26.0, delivering Apple Silicon/T2 and APFS core modules, structured-concurrency volatile-data pipelines, and Disk Arbitration write-blocking.
• Architected a streaming SQLite ingestion layer with Swift actors and bounded batches, letting RECON LAB index large forensic datasets without loading full result sets into memory.
• Built FIMountKit to mount 7 forensic image formats (E01/EWF, VMDK, VHD/VHDX, AFF4, DMG, RAW, split-RAW), using chunked split-image merging to bound memory usage.
• Replaced an NSXPC privileged helper with a sudo-based filesystem manager, making collection reliable across large directory structures.

_{Jul 2024 – May 2025 · Lahore, Pakistan}

• Shipped a Per-App VPN SDK on iOS Network Extension, enabling policy-based traffic routing for enterprise apps with sub-5ms latency overhead.
• Architected a multithreaded URL-filtering engine with custom blacklist/whitelist policies, evaluating traffic in real time with no measurable browsing-latency impact.
• Co-developed a custom MDM solution covering device enrollment, policy enforcement, and failure handling, backed by automated test coverage.
• Prototyped macOS Per-App VPN capabilities, mapping Network Extension and platform requirements for cross-platform rollout.

_{Dec 2023 – Jun 2024 · Lahore, Pakistan}

• Modernised a legacy Objective-C/UIKit codebase to Swift and MVVM, cutting production crashes by 30%.
• Introduced modular, XCTest-covered components with edge-case coverage, reducing mean bug-fix cycle time by 35%.
• Implemented a repository-based data layer across REST APIs and Core Data, lowering data-retrieval latency by 20%.
• Eliminated race conditions in background sync for offline field workflows by adopting Swift Concurrency.

_{Aug 2022 – Dec 2023 · Lahore, Pakistan}

• Built consumer-facing Swift/UIKit features for a logistics platform handling thousands of daily delivery operations.
• Hardened REST integrations with retry logic and graceful degradation, keeping the app reliable on variable networks.
• Delivered testable, production-ready features within Agile sprints; recognised as Cheetay of the Quarter (2023).

_{Jan 2021 – Dec 2021 · Sydney, Australia}

• Developed SwiftUI/UIKit components, animations, and accessibility improvements for a consumer app with millions of users.
• Delivered stable features by applying memory management, file I/O, and asynchronous programming best practices.

Chess · Badminton · Emerging Technology · AI & Software Innovation · Cybersecurity · Open Source