Builds products that scale, perform and actually convert.
MAU
Revenue
Performance
Concurrent Users
client
Real-time competitive gaming and decentralized wagering ecosystem
startup
AI-powered comprehensive Islamic knowledge and guidance platform
client
Interactive EdTech and Social Learning Mobile Platform
Archive & More
Dive deep into all my enterprise, startup, and full-stack engineering side projects.
I don’t merely build accessible UIs — I instrument, measure, and surgically optimize every millisecond of the execution thread. Real scores. Real impact.
Average auditing score across production environments, factoring in edge caching and asset optimization.
Largest Contentful Paint
Interaction to Next Paint
Total Bundle Size
Interruptible rendering to eliminate input jank and main-thread blocking.
Component-level granular chunking. Shipping precisely zero unnecessary bytes.
ISR and CDN edge rules creating sub-10ms Time To First Byte globally.
Aggressive cleanup sweeps and strict object pooling to defeat memory leaks.
AVIF/WebP transpilation, lazy hydration, and hardcoded aspect ratios for zero CLS.
Offloading calculations to GPU threads avoiding standard DOM reflows.
Building AI-native products — from retrieval pipelines and fine-tuned models to real-time inference and generative experiences.
Production pipelines with streaming, tool-calling, and multi-agent orchestration.
Retrieval pipelines with semantic chunking, re-ranking, and hybrid search.
Real-time detection, pose estimation, OCR — deployed to edge for ultra-low latency.
LoRA / QLoRA tuning on custom datasets with efficient GPU utilization.
From algorithms to distributed systems — trained daily, applied in production.
O(n) over O(n²)
Linear scan optimizations
Graph traversal backbone
State optimization
Search on answer space
Combinatorial pruning
Near O(1) connectivity
Scalability
Sharding, CQRS, consistent hashing
Caching
Redis, CDN, write strategies
Messaging
Kafka, queues, API patterns
Reliability
Retries, circuit breakers
