MOHDSAKIB
Builds products that scale, perform and actually convert.
MAU
Revenue
Performance
Concurrent Users
client
StakeClash
Real-time competitive gaming and decentralized wagering ecosystem
startup
Artificial Mufti
AI-powered comprehensive Islamic knowledge and guidance platform
client
Pademi
Interactive EdTech and Social Learning Mobile Platform
Archive & More
View Full Project Archive.
Dive deep into all my enterprise, startup, and full-stack engineering side projects.
SEE ALl
WORK.
SEE ALL
WORK.
Zero Tolerance
For Latency.
I don’t merely build accessible UIs — I instrument, measure, and surgically optimize every millisecond of the execution thread. Real scores. Real impact.
Lighthouse Performance
Average auditing score across production environments, factoring in edge caching and asset optimization.
Core Web Vitals
Before & After Optimization Letency
Largest Contentful Paint
Interaction to Next Paint
Total Bundle Size
Optimization Architecture
React Concurrency
Interruptible rendering to eliminate input jank and main-thread blocking.
Dynamic Code Splitting
Component-level granular chunking. Shipping precisely zero unnecessary bytes.
Edge Architecture
ISR and CDN edge rules creating sub-10ms Time To First Byte globally.
Memory Allocation
Aggressive cleanup sweeps and strict object pooling to defeat memory leaks.
Asset Pipeline
AVIF/WebP transpilation, lazy hydration, and hardcoded aspect ratios for zero CLS.
Custom WebGL/GSAP
Offloading calculations to GPU threads avoiding standard DOM reflows.
Capabilities
AI Systems
Building AI-native products — from retrieval pipelines and fine-tuned models to real-time inference and generative experiences.
LLM Integration
Production pipelines with streaming, tool-calling, and multi-agent orchestration.
RAG Systems
Retrieval pipelines with semantic chunking, re-ranking, and hybrid search.
Computer Vision
Real-time detection, pose estimation, OCR — deployed to edge for ultra-low latency.
Fine-Tuning
LoRA / QLoRA tuning on custom datasets with efficient GPU utilization.
AI Proficiency
What I Build
Stack
CS
From algorithms to distributed systems — trained daily, applied in production.
Sliding Window
O(n) over O(n²)
Two Pointers
Linear scan optimizations
DFS / BFS
Graph traversal backbone
Dynamic Programming
State optimization
Binary Search
Search on answer space
Backtracking
Combinatorial pruning
Union Find
Near O(1) connectivity
System Design
Scalability
Sharding, CQRS, consistent hashing
Caching
Redis, CDN, write strategies
Messaging
Kafka, queues, API patterns
Reliability
Retries, circuit breakers
