8 products · 25K+ users · $100K+ GMV · 98 Lighthouse
I build software that
ships, scales, and earns.
Selected Work
8 products · 25K+ users · $100K+ GMV · 98 Lighthouse
Selected Work
client
Real-time competitive gaming and decentralized wagering ecosystem

startup
AI-powered comprehensive Islamic knowledge and guidance 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.
1s delay in page load = 7% drop in conversions. At 1.2s, checkout flows stay frictionless.
Zero layout shift during load means users never misclick. Critical for e-commerce CTAs and form inputs.
Inputs feel instant. At 38ms users perceive zero lag — the threshold for 'feels native'.
Content visible in 0.6s keeps bounce rate low. Users see something before they can even lift their finger.
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 zero-touch business operations.
Zero-touch lead generation. Handles automated scraping, deduplication against CRM state, API enrichment via Hunter.io, and drafts hyper-personalized outreach.

CRON-triggered autonomous agents that read database states to identify pending actions, generating contextual sequences based on historical interaction data.

Real-time inbox monitoring system utilizing LLMs to classify intent, filter spam, and dynamically route queries. Features human-in-the-loop escalation.

Scheduled data aggregation pipelines that compile weekly performance metrics, format statistical reports, and dispatch them to secure administrative channels.

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.
Live Architecture
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.
10 leads / day
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

About
I'm Mohd Sakib, a Senior Full Stack Developer and React Native specialist based in Meerut, Uttar Pradesh. Over the past 3+ years I've architected and shipped 8 production-grade products across gaming, FinTech, EdTech, LegalTech, and AI — serving 25,000+ users and processing $100K+ in transactions.
My core stack is Next.js, Node.js, React Native, and PostgreSQL — but I choose tools based on the problem, not preference. I've built stateless WebSocket architectures with Redis pub/sub for sub-72ms real-time systems, designed Kafka event-sourced microservices for PCI-DSS compliance, and engineered two-stage RAG pipelines that cut hallucination rates by 45%.
Currently available for senior full-time roles or high-stakes freelance contracts where performance and architecture quality are non-negotiable.
Career Timeline
Wrote first production line of code. Shipped a client web app within 3 months.
First enterprise client. Delivered a nationwide EdTech platform (Pademi) to 25K+ students.
Expanded into AI systems. Built RAG pipelines, LLM integrations, and cross-border FinTech apps.
8 live production systems. $100K+ GMV processed. 25K+ users served. 98 Lighthouse.
Core Stack
Location
Meerut, India
Experience
3+ Years
Availability
Immediate
Work Mode
Remote / Hybrid