How can I hire Muddasir for my startup or company?

You can hire Muddasir directly by filling out the contact form below or emailing muddasirhaider048@gmail.com. We start with a 20-minute discovery discussion to scope your product architecture, establish milestone timelines, and provide a clear fixed-price or sprint-based quote.

Do you work with startups in the US, UK, and internationally?

Yes! Over 80% of my client collaborations are with international founders and US-based startups. I operate with seamless asynchronous updates, daily git commits, sprint demos, and flexible overlap with US Eastern (EST) and Pacific (PST) timezones.

How quickly can you build and ship a production MVP?

A complete end-to-end MVP (Next.js frontend, PostgreSQL database, authentication, Stripe/WhatsApp checkout, and AI integrations) is typically designed, developed, and deployed within 2 to 4 weeks depending on feature complexity.

What kind of AI integration and agentic systems do you build?

I engineer production-grade LLM applications using LangChain, OpenAI API, Claude API, and custom autonomous agents. Capabilities include automated document parsing, conversational recommendation engines, intelligent workflow automation, and custom RAG (Retrieval-Augmented Generation) pipelines.

Do you build mobile apps and Android APKs in addition to web platforms?

Yes, I develop cross-platform mobile apps using Flutter and React Native, delivering production-ready Android APKs and iOS binaries fully synchronized with your web backend and database.

Why hire a solo full-stack systems engineer instead of a large agency?

Hiring a solo engineer who owns the whole stack eliminates communication bottlenecks, project manager markups, and disjointed handoffs between frontend and backend devs. You get 3x faster delivery, direct founder-to-developer dialogue, and 100% accountability.

★ Production Case Study

Altertec AI — Multi-Agent Orchestration & Workflow Automation

Designed and deployed a distributed AI agent platform capable of coordinating multiple specialized LLM agents to execute complex, multi-stage coding and research workflows with zero human intervention.

Client

Altertec Global

Industry

Enterprise AI & Developer Tooling

Timeline

4 Weeks

My Role

Lead Full-Stack AI Engineer

Key Impact & Measurable Metrics

85% Reduction

Manual Hours Saved

94.8%

Agent Task Success Rate

< 45ms

Vector Search Latency

99.98%

Production Uptime

The Engineering Challenge

Enterprise engineering teams were spending 40+ hours per week manually synthesizing multi-repo codebases, executing unit tests, and writing documentation across disparate cloud environments.

The Architectural Solution

Architected a centralized multi-agent orchestration engine featuring dynamic task planning, secure sandboxed execution, memory indexing with vector databases, and real-time streaming WebSocket dashboards.

• • • • •

Technical Architecture & System Breakdown

Autonomous Agent State Machine

LangGraph-powered cyclic graph state machine managing planning, tool calling, error recovery, and reflection loops.

PythonLangGraphLangChainOpenAI GPT-4o

Streaming Reactive Next.js Frontend

Next.js App Router with Server-Sent Events (SSE) providing live thought logs, canvas rendering, and step-by-step audit trails.

Next.jsReact Server ComponentsTailwind CSSTypeScript

Scalable Vector Storage & Memory

PostgreSQL with pgvector extension delivering sub-50ms hybrid semantic similarity retrieval across 100k+ technical documents.

PostgreSQLpgvectorPrisma ORMNeon DB

Visit Live Production System (devaiconsultants.com)

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