Is Mohd Sakib available for full-time employment or freelance contracts?

Yes — I am currently open to senior full-time roles and high-stakes freelance contracts. I'm based in Meerut, India and work remotely across time zones. Reach out at mohdsakib.work@gmail.com to discuss opportunities.

What tech stack does Mohd Sakib specialize in?

My core stack is Next.js, Node.js, React Native, TypeScript, and PostgreSQL. I have production experience with Redis (pub/sub, caching), WebSockets, GraphQL, Kafka, Docker, AWS (EC2, ECS, EKS, S3), Python/FastAPI, and AI/LLM systems including RAG pipelines with LangChain, Pinecone, and pgvector. I choose tools based on the problem, not preference.

What kind of products has Mohd Sakib shipped in production?

I've architected and shipped 8 production-grade products: FinTech (Sendora — cross-border remittances, PCI-DSS compliant, $50K+ processed), EdTech (Pademi — 25K+ students, WebRTC live classrooms), Gaming (StakeClash — real-time wagering, $12K MRR, 200+ concurrent users), LegalTech (CoLaw — 200+ law firms, $15K+ MRR, 100GB+ daily data), E-Commerce (Tekish — $100K+ GMV/month, 50K+ monthly shoppers), and AI (Artificial Mufti — RAG system with 45% hallucination reduction, 200+ DAU).

Can Mohd Sakib lead technical architecture and system design decisions?

Yes. Across every project I've owned full system design decisions — from stateless WebSocket architectures with Redis pub/sub for horizontal scaling, to Kafka event-sourced microservices for FinTech compliance, to multi-stage RAG pipeline design with vector reranking. I've set up containerized Kubernetes deployments, automated CI/CD pipelines reducing deployment friction by 70%, and made explicit technology-tradeoff decisions documented in each case study.

What performance standards does Mohd Sakib build to?

I treat performance as a business requirement, not an afterthought. My portfolio itself scores 98 on Lighthouse with LCP 1.2s, INP 38ms, and CLS 0.01. Across client work: improved LCP by 2.1s on Tekish (boosting conversions 22%), achieved sub-72ms p99 socket latency on StakeClash, reduced React Native bundle size by 88%, maintained 60fps rendering on Sendora's fintech flows, and cut INP by 90% through React concurrency and dynamic code splitting.

I build software that
ships, scales and earns.

View Case Studies Let's Talk →

25K+Users Served

$100K+GMV Shipped

98+Lighthouse Score

8+Production Systems

Selected Work

Products I've Built.

↗

StakeClash

Mertices

$12K MRR

1K+ MAU

Available On

Web App

Back Yourself and Get Paid.

Challenge friends in skill-based games, lock in the stakes, and let the winner get paid automatically.

Join Now

↗

Artificial Mufti

Mertices

500+ MAU

100+ Downloads

Available On

Appstore

Playstore

Web App

↗

Pademi

Mertices

25K+

Available On

Appstore

Web App

↗

Sendora

Mertices

$50K+

Available On

Web App

↗

CoLaw

Mertices

200+ Firms

Available On

Web App

All projects↗

Adam

“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.”

Performance

Before & After Optimization Latency

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

Performance

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.

LCPTarget: <2.5s1.2s

1s delay in page load = 7% drop in conversions. At 1.2s, checkout flows stay frictionless.

CLSTarget: <0.10.01

Zero layout shift during load means users never misclick. Critical for e-commerce CTAs and form inputs.

INPTarget: <200ms38ms

Inputs feel instant. At 38ms users perceive zero lag — the threshold for 'feels native'.

FCPTarget: <1.8s0.6s

Content visible in 0.6s keeps bounce rate low. Users see something before they can even lift their finger.

Performance

Architecture

I don’t merely build accessible UIs — I instrument, measure, and surgically optimize every millisecond of the execution thread. Realscores. Real impact.

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.

Engineering Stack

Built For Speed, Scale & Clean UX.

From responsive interfaces to production-ready systems, every tool here solves a specific performance or product problem.

Frontend Systems

Next.js

React

Angular

TypeScript

Tailwind CSS

Flutter

Javascript

Electron

Backend Architecture

Node.js

Express.js

Nest.js

Redis

PostgreSQL

Firebase

Supabase

NGINX

AI Infrastructure

OpenAI

n8n

Python

Claude

TensorFlow

RAG

OCR

Deployment & Tooling

AWS

Docker

Kubernetes

CI CD

Github Actions

Vercel

Oniya

“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.”

38-Node Production Pipeline.

One autonomous system, four distinct layers. The same workflow powering Krapton's client acquisition — explore each phase below.

Outbound Pipeline

Built For Speed, Scale & Clean UX.

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.

LinkedIn API

Hunter.io

Gemini 2.5

Google Sheets

System Design

Core Capabilities

I don’t merely build accessible UIs — I instrument, measure, and surgically optimize every millisecond of the execution thread. Realscores. Real impact.

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.

Chiddy

“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.”

DATA STRUCTURES & ALGORITHMS

From algorithms to distributed systems — trained daily, applied in production.

0+ SolvedTop --%

Easy: 0+ / Medium: 0+ / Hard: 0+

System Design

Scalability

Sharding, CQRS, consistent hashing

Caching

Redis, CDN, write strategies

Messaging

Kafka, queues, API patterns

Reliability

Retries, circuit breakers

Systems I Can Design

Twitter / X — fanout, timeline

YouTube — pipeline, streaming

E-commerce — inventory, payments

Realtime Chat — WebSockets

URL Shortener — high QPS

Search Engine — indexing

DSA

Algorithmic Thinking & Problem Solving

Built through consistent problem solving across data structures, graph theory, optimization, recursion, and scalable algorithm design.

Sliding Window

Efficient range-based processing technique used to reduce nested iteration into linear time complexity.

Two Pointers

Pointer manipulation strategy for optimized traversal, partitioning, and pair-based computations.

DFS / BFS

Core graph traversal algorithms powering search, connectivity analysis, and path exploration.

Dynamic Programming

State-transition optimization approach for solving overlapping subproblems efficiently.

Binary Search

Logarithmic-time searching technique applied across sorted data and answer-space optimization.

Backtracking

Recursive exploration strategy with pruning for combinatorial and constraint-based problems.

Union Find

Disjoint set data structure enabling near constant-time connectivity and component merging.

About

Engineer by trade.
Architect by instinct.

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.

Get In Touch →LinkedIn ↗

Career Timeline

2021

Wrote first production line of code. Shipped a client web app within 3 months.

2022

First enterprise client. Delivered a nationwide EdTech platform (Pademi) to 25K+ students.

2023

Expanded into AI systems. Built RAG pipelines, LLM integrations, and cross-border FinTech apps.

2024

8 live production systems. $100K+ GMV processed. 25K+ users served. 98 Lighthouse.

Core Stack

Next.jsNode.jsReact NativeTypeScriptPostgreSQLRedisAWSDockerPython / FastAPIGraphQLKafkaKubernetes

Location

Meerut, India

Experience

3+ Years

Availability

Immediate

Work Mode

Remote / Hybrid

I build software thatships, scales and earns.

Products I've Built.

StakeClash

Back Yourself and Get Paid.

Artificial Mufti

Pademi

Sendora

CoLaw

Before & After Optimization Latency

Zero Tolerance For Latency.

Architecture

React Concurrency

Dynamic Code Splitting

Edge Architecture

Memory Allocation

Asset Pipeline

Custom WebGL/GSAP

Built For Speed, Scale & Clean UX.

Frontend Systems

Backend Architecture

AI Infrastructure

Deployment & Tooling

38-Node Production Pipeline.

Built For Speed, Scale & Clean UX.

Core Capabilities

LLM Integration

RAG Systems

Computer Vision

Fine-Tuning

DATA STRUCTURES & ALGORITHMS

System Design

Systems I Can Design

Algorithmic Thinking & Problem Solving

Sliding Window

Two Pointers

DFS / BFS

Dynamic Programming

Binary Search

Backtracking

Union Find

Engineer by trade.Architect by instinct.

Common Questions.

Is Mohd Sakib available for full-time employment or freelance contracts?

What tech stack does Mohd Sakib specialize in?

What kind of products has Mohd Sakib shipped in production?

Can Mohd Sakib lead technical architecture and system design decisions?

What performance standards does Mohd Sakib build to?

Products I've Built.

StakeClash

Back Yourself and Get Paid.

Artificial Mufti

Pademi

Sendora

CoLaw

Before & After Optimization Latency

Zero Tolerance For Latency.

Architecture

React Concurrency

Dynamic Code Splitting

Edge Architecture

Memory Allocation

Asset Pipeline

Custom WebGL/GSAP

Built For Speed, Scale & Clean UX.

Frontend Systems

Backend Architecture

AI Infrastructure

Deployment & Tooling

38-Node Production Pipeline.

Built For Speed, Scale & Clean UX.

Core Capabilities

LLM Integration

RAG Systems

Computer Vision

Fine-Tuning

DATA STRUCTURES & ALGORITHMS

System Design

Systems I Can Design

Algorithmic Thinking & Problem Solving

Sliding Window

I build software that
ships, scales and earns.

Engineer by trade.
Architect by instinct.

Engineer by trade.
Architect by instinct.