“Working with Sakib on Stakeclash was a game changer. He turned a complex staking interface into something our users actually enjoy — the speed and attention to detail were unlike anything I'd experienced.”
“Sakib brought clarity to two very different products at once. Both Pademi and Tekish Health launched on time with zero compromises on the experience. He just gets it.”
“Colaw needed someone who could handle legal complexity without losing sight of the user. Sakib delivered exactly that — a clean, intuitive product that our clients and team both love.”
Practical notes on AI systems, product engineering, mobile apps, hiring, and automation.
HiringDiscover how strategic staff augmentation with high-value React Native developers can dramatically boost your project ROI, mitigate hiring risks, and accelerate innovation in today's competitive tech landscape.
AI DevelopmentThe AI revolution demands a proactive developer strategy. Discover how to leverage trending AI tools, attract top talent, and build robust intelligent systems to ensure your technology momentum is unstoppable.
Artificial IntelligenceThe AI landscape is evolving at an unprecedented pace. Discover how a proactive developer strategy, leveraging the latest AI trends and specialized tools, is essential for businesses to achieve technology momentum, ensure reliability, and build trust in an AI-driven future.
Largest Contentful Paint
4.8s
before
75%
faster
1.2s
after
Interaction to Next Paint
380ms
before
90%
faster
38ms
after
Total Bundle Size
1.8MB
before
88%
faster
210KB
after
I don’t merely build accessible UIs — I instrument, measure, and surgically optimize every millisecond of the execution thread. Realscores. Real impact.
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.
From responsive interfaces to production-ready systems, every tool here solves a specific performance or product problem.
Browser-based utilities I built for my own workflow. Everything runs on your device, nothing is uploaded, and there are no ads.
One autonomous system, four distinct layers. The same workflow powering Krapton's client acquisition — explore each phase below.
Zero-touch lead generation. Scrapes LinkedIn, deduplicates against live CRM state, enriches via Hunter.io, and drafts hyper-personalized outreach via Gemini — 10 qualified leads per day, no human input.
I don’t merely build accessible UIs — I instrument, measure, and surgically optimize every millisecond of the execution thread. Realscores. Real impact.
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 raw algorithmic theory to distributed systems architecture — trained daily, optimized continuously, and applied in production environments.
Systems built to survive peak loads. Leveraging consistent hashing, aggressive caching layers, message queues, and asynchronous workers to prevent bottlenecks and eliminate single points of failure.
Architectural Blueprints
Built through consistent problem solving across data structures, graph theory, optimization, recursion, and scalable algorithm design.
Efficient range-based processing technique used to reduce nested iteration into linear time complexity.
Pointer manipulation strategy for optimized traversal, partitioning, and pair-based computations.
Core graph traversal algorithms powering search, connectivity analysis, and path exploration.
State-transition optimization approach for solving overlapping subproblems efficiently.
Logarithmic-time searching technique applied across sorted data and answer-space optimization.
Recursive exploration strategy with pruning for combinatorial and constraint-based problems.
Disjoint set data structure enabling near constant-time connectivity and component merging.
