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 Delhi, 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.