Forward Deployed Engineer
Prototypes into production. AI systems that hold up.
Next.js · Node.js · LangChain · MCP · Voice AI · Real-estate ops

Anas Aqeel
Forward Deployed Engineer
The developer who works with founders to take prototypes into production.
You have an AI prototype that demos well and falls over under real load. You get it back as a deployment you can put in front of real users, and trust when they show up.
You get the unglamorous parts, done right.
A Forward Deployed Engineer embedded with your team from ambiguous problem through shipped production code. You get the retries, the timeouts, the trace logs that tell you what actually happened. The parts that decide whether the product survives its first busy day.
Recent work sits at the intersection of AI systems, reliability, and integrations: voice agents that stay up when the phones do not stop, valuation pipelines that carry a source URL for every number, multi-agent command centers where every human correction feeds back into the prompts.
You ship faster because someone owns the whole path. Small loops, real production, no hand-off.
Experience
Project Twelve
- Building AI-driven product features end-to-end across Next.js, Node.js, and TypeScript. Ambiguous spec through shipped production code, owned throughout.
- Designing API surfaces and data models that connect AI agent workflows to a user-facing product.
- Working directly with the founding team on a fast-moving roadmap focused on practical AI applications for personal growth.
Wattif (Brackets.ai)
- Shipping production features for wattif.ai, a live customer-facing platform. Full stack: Next.js + Tailwind frontend, backend integrations, data flows.
- Translating Figma designs into responsive, accessible UI. Debugging across the stack to resolve product issues quickly.
- Working with the founder (Dharani) and the Brackets.ai team across timezones to keep the product moving.
FlipIQ
- Built OMS (oms.flipiq.com), the internal client onboarding portal. Replaced a 46-task spreadsheet with a real state machine across three roles. Blocking logic auto-unlocks manager tasks the moment the client company completes their step.
- Built Tony's Command Center: a 12-agent automation system unifying Google Calendar, Email, Asana, Slack and Gmail behind one chat interface with task management, email classification, scheduling, and daily check-in flows.
- Started ARV IQ, a real estate tool that takes any property and returns comparables, using AI and research tools to estimate After-Repair-Value (ARV) and cost of repair.
- Picked up real estate domain knowledge (property data, transactions, investor workflows) while shipping production systems against tight deadlines.
Upwork
- 5.0 Upwork rating, 215+ logged hours, 100% client satisfaction. Endorsed for clear communication, commitment to quality, and reliable delivery.
- Delivered an AI-Powered Lead Nurturing Platform: full-stack web app that ingests leads, scores them, and runs personalized AI-generated follow-up sequences.
- Built Skeletor marketplace landing and an interactive escape-room game landing. High-fidelity Next.js + Tailwind builds shipped to production.
- Long-running contract relationships with founders shipping MVPs across SaaS, real estate, and creator tools.
- First paid software work. React component development for international clients. The foundation for everything that followed.
Panaverse
- Built reusable Next.js + Tailwind page templates for product launches. Production-ready hero, pricing, feature, and CTA blocks.
- Focused on responsive, conversion-oriented landing systems with a clean TypeScript codebase.
Six systems. Every one in production.
Each card opens the full case study on the blog. Named clients kept anonymous until sign-off.
Calltura is my own product. AI agents that answer, qualify, and route inbound calls for businesses. The hard part is sub-second turn latency plus interruption handling. Every stage has its own timeout, fallback, and full per-call trace.
Calltura
AI command center unifying sales, ideas, tasks, email, and calendar behind one interface for a founder-led team. One router dispatches to eight specialist agents, each with its own persona, memory, and rules. Every human correction becomes a training snapshot with human-approved diffs and rollback.
Command center for a real-estate CRM
Automated after-repair-value tool. Nine-stage pipeline pulls live listing data, finds comps, reads property photos with a multimodal model, and estimates repair costs from live local pricing. No stale tables, no year-built shortcuts. Every price carries its source URL.
Real-estate valuation tool
Client-onboarding portal that replaces a 46-task spreadsheet with a real state machine across three roles. Blocking logic auto-unlocks manager tasks the moment the client company completes their dependent step. Access control enforced at the query layer, not the UI.
Onboarding management system
Full property lifecycle in one platform: acquisition, due diligence, escrow, construction, resale. Section-Group-Field data model with 29 sections and roughly 2,100 fields. One audited engine sits between every writer and the database, so humans and AI agents play by the same access rules.
Property pipeline platform
A personal system that researches, drafts, publishes, and analyzes social posts across X, LinkedIn, Instagram, and Facebook. Every daily brief and every draft is approvable by email in one click. Every correction feeds back into the prompts as an auditable diff.
Agent X
More shipped via direct contracts and long-running founder relationships.
Skills & technologies
The stack I build and ship production systems with, day in, day out.
Full-stack web
End-to-end product engineering across the modern stack.
Frontend & UI
Translating designs into responsive, accessible interfaces.
Backend & data
APIs, data models, and the systems that power the product.
AI & agents
Agentic systems, RAG pipelines, and LLM-driven product features.
Automation & workflows
Replacing manual work with auditable systems.
Tools & practice
Shipping fast without compromising quality.
Certifications
IBM RAG and Agentic AI:Professional Certificate
Google AI:Professional Certificate
Build AI Agents using MCP
Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI
Agentic AI with LangChain and LangGraph
Fundamentals of Building AI Agents
Build Multimodal Generative AI Applications
Advanced RAG with Vector Databases and Retrievers
Vector Databases for RAG: An Introduction
Build RAG Applications: Get Started
Certified Blockchain Developer
What clients say.
LinkedIn recommendations
“Anas, thank you for helping us out. It's been great to have you support our development team. We really appreciate your time and effort in helping us grow our Marketplace and the Command platform. Great job.”
Tony Diaz
Founder @ FlipIQ · 30+ Years, 1,100+ Flips
January 2026 · Tony was Anas's client
“Anas is an extraordinary developer. He is very quick at grasping the scope of the project. He has impressed me with his exceptional sense of detail and commitment to timelines.”
Dharani
Founder @ Wattif (Brackets.ai)
May 2025 · Direct manager
Have a prototype that needs to be production.
Forward Deployed Engineer, embedded with your team. Prototype to production, or the whole product from scratch. Voice AI, agentic systems, real-estate platforms, or wherever the hard problem lives.