[ 01 — About ]
Ibuildthingsthatship.AIagents,RAGpipelines,voiceapps,mobileproducts,SaaSplatforms—15+productionappsshippedend-to-endwithNext.js,ReactNative,FastAPI,LangChain,andClaudeAI.
Trusted by teams & startups around the world
[ 02 — Skills ]
Stacks I ship with—frontend, backends, AI, and deployment—using tools I know and trust.
[ 03 — Who I Am ]
“I build production-grade AI products — RAG pipelines, voice agents, WhatsApp sales bots, mobile apps, and SaaS platforms — shipping end-to-end from idea to deployed product, certified by Anthropic & OpenAI.”
15+ production apps shipped
SaaS platforms, mobile apps, AI agents, and enterprise tools — built and deployed end-to-end across industries.
AI agents & agentic workflows
RAG pipelines, voice AI, WhatsApp sales agents, Claude & GPT-4 — certified by Anthropic and OpenAI, shipped into real products.
Mobile apps on iOS & Android
React Native apps shipped to the App Store and Play Store — FrugalFox, Muse AI, Cheaply AI — with AI cores and in-app payments.
Full stack, front to back
Next.js frontends, FastAPI & Rails backends, multi-tenant SaaS architecture, real-time WebSockets, and scalable PostgreSQL schemas.
0+
Production Apps
0+
Years Experience
0
SaaS Platforms Built
Open to Work
Freelance & full-time
Current Stack
[ 04 — Projects ]
Things I've built — AI platforms, mobile apps, and enterprise tools, shipped end-to-end.
Case StudyAI-powered social media SaaS for brands, agencies, and creators. Generates weekly content batches, auto-publishes to Instagram, Facebook, and TikTok, and maintains brand voice consistency via an AI Brand Brain. Built with FastAPI, LangChain, LangGraph, PostgreSQL, Stripe, and AWS.
Case StudyHIPAA-focused AI voice receptionist platform for dental clinics. Handles patient calls 24/7, automates appointment booking/rescheduling, verifies identities via OTP, and answers clinic FAQs using pgvector semantic search. Built with FastAPI, LangChain, LangGraph, Azure OpenAI, and AWS.
Case StudyAI-powered price comparison app for iOS & Android. Scan any product (barcode, photo, or text), instantly discover the cheapest price across multiple retailers, track savings over time, and get alerts the moment prices drop. Built with React Native, FastAPI, and AWS.
Case StudyAI-powered voice journaling app for iOS & Android. Users speak with a conversational journaling companion powered by Play AI — the app generates personalized insights, session summaries, and scheduled reminders. Built with React Native, FastAPI, Firebase, and AWS.
Case StudyEnterprise SaaS for financial advisors. Claude Opus AI analyzes meeting transcripts to produce behavioral profiles, MIS scores, SEC Rule 204-2 compliance flags, and revenue opportunity detection. Rails 8 API + Next.js 16 frontend, 71+ tables, multi-tenancy across all layers, Kanban task engine, and full compliance audit trail.
Case StudyMobile-first PWA for ANAAKA Natural Halal Cosmetics field teams. Barcode scanning with ZXing, offline-first IndexedDB queue (500+ entries), multi-currency support across Turkey, GCC & EU, and an admin dashboard with cross-market price comparison and one-click Excel/CSV export.
Case StudyAI-powered WhatsApp sales agent — a multi-tenant SaaS for Brazilian clinics. State machine controls every conversation: lead qualification → objection handling → Google Calendar booking. <5s response time, 50% conversion rate, R$2,550 estimated revenue tracked across 6 live beta clinics.
Case StudyAI-powered mortgage admin portal for XA Financial Services. RAG-based AI brain trained on the owner's voice handles 19,700+ leads via GHL automation, call transcription, pattern analysis, and a full portal with chat, activity feed, and data ingestion pipeline.
Case StudyA gamified shopping companion that turns product scanning into a rewarding hunt for the best local prices. Real-time price discovery, interactive map, XP streaks, and push alerts.
Case StudyAutomated crypto arbitrage trading platform that scans multiple exchanges in real-time, identifies price discrepancies across multilateral currency paths, and executes trades in ~320ms. 87.3% success rate across 1,247+ trades with full dashboard, analytics, alerts, and reporting.
Case StudyMarketing website for FrugalFox AI, a smart price comparison platform. Dark-theme landing page with animated product walkthroughs, category browsing, and waitlist conversion flow.
Case StudyAI-powered creative testing SaaS for marketers. Run pretests, A/B simulations, and live AI testing on ad creatives against synthetic personas — predicting performance across Instagram, YouTube, TikTok, LinkedIn and more before spending a single dollar.
Case StudyEnterprise Finance Analytics & Data Intelligence Platform. Specialized AI chatbots (FP&A, Risk & Compliance, Investor Relations) powered by RAG pipelines, plus live financial dashboards and a full admin panel for user, chatbot, and dashboard management.
Case StudyAI-powered trading platform for crypto, forex, stocks, and futures. Real-time trading signals, automated bots with custom strategies, backtesting engine, portfolio analytics, and tiered subscription plans — built on FastAPI, Next.js, PostgreSQL, Redis, and AWS.
Case StudyAI-powered knowledge platform for optometrists and eye care professionals. Combines GPT-powered natural language search, Excel-style structured lens lookups, and computer vision for corneal topography analysis — giving clinicians instant, accurate contact lens recommendations from a single interface.
Case StudyProduction-grade multi-tenant AI voice platform for service businesses. Dedicated AI voice agents answer inbound calls 24/7, handle natural conversations, book appointments via Google Calendar, recover missed callers by SMS, and provide a full business dashboard — built on Twilio, Deepgram, OpenAI GPT-4o, ElevenLabs, and Supabase.
Case StudyClosed-loop advertising automation platform that generates, tests, launches, and optimizes Facebook ad campaigns autonomously. Combines AI creative generation, synthetic audience validation, real-time ROAS/CPA monitoring, and self-healing optimization — functioning as a virtual AI media buyer.
Case StudyAI-powered Facebook Ads campaign optimization assistant. ML models analyze campaign metrics, audience behavior, and creative patterns in real-time — delivering actionable recommendations that boost ROI and cut manual monitoring by 80%.
Case StudyAI-powered property renovation estimation platform. Computer vision (YOLOv8, Faster R-CNN) analyzes property images and generates contractor-ready rehab cost reports in under 30 seconds — 92% accuracy across 50,000+ images.
Case StudyEmotional travel companion platform with four personalized notebooks — KIMA (kids), LUMA (couples), SAYA (solo) — each adapting to real itineraries with AI-generated prompts and reflection exercises.
Case StudyAI-powered SaaS platform that transforms product planning through intelligent questionnaires. Generates professional Product Requirements Documents instantly with team management, org creation, and real-time collaboration.
[ 05 — Experience ]
Full Stack & AI EngineerFull-time
Full Stack DeveloperFull-time
Front-end DeveloperFull-time
[ 06 — Certifications ]
Courses and certifications completed across AI, web development, and software engineering.
[ 07 — Testimonials ]
“Ahmad delivered our AI-powered analytics platform ahead of schedule. His RAG implementation reduced our customer support load by 40%. Exceptional attention to detail, clean code, and outstanding communication throughout the project.”
Sarah Mitchell
Product Manager · TechFlow Inc.
“We hired Ahmad to rebuild our entire platform using Next.js and FastAPI. The result was a 3× improvement in load times and a seamless user experience. One of the most reliable and skilled developers I've worked with.”
James O'Connor
CEO · LaunchPad Ventures
“Ahmad built our medical diagnostics platform with computer vision integration. The code quality was outstanding — well-structured and highly scalable. He grasped complex domain requirements quickly and delivered beyond expectations.”
Aisha Rahman
CTO · MedTech Solutions
“Ahmad understood our LLM requirements from day one and delivered a production-ready enterprise chatbot in record time. His expertise in LangChain and vector databases is genuinely top-tier. Will hire again without hesitation.”
David Chen
Founder · DataSense AI
[ 08 — Services ]
From a single feature to a full product — I deliver clean, scalable solutions across the stack.
End-to-end web applications from pixel-perfect UI to robust server-side logic. I own the full lifecycle — multi-tenant SaaS architecture, APIs, databases, and deployment.
RAG pipelines, WhatsApp sales agents, voice AI, and agentic workflows — certified by Anthropic & OpenAI and shipped into products that generate real revenue.
React Native apps shipped to the App Store and Play Store. AI-powered price scanners, voice journaling companions, gamified shopping — with RevenueCat subscriptions baked in.
Scalable REST APIs built with proper auth, rate-limiting, WebSockets, and documentation. Clean, typed contracts your frontend team will actually enjoy working with.
Responsive, accessible interfaces with smooth animations. I craft experiences that feel fast, intentional, and delightful — from design system to production bundle.
Object detection, barcode scanning, property damage estimation, and medical imaging. From training YOLOv8 models to deploying real-time inference APIs — 92%+ accuracy in production.
Have a project in mind?
Let's scope it out and see how I can help.
[ 09 — Process ]
A clear process means no surprises. Here's exactly how a project goes from first call to shipped product.
We start with a deep-dive call — understanding your goals, users, constraints, and timeline. I ask the hard questions early so nothing surprises us mid-build. You get a clear scope document before a single line of code is written.
I design the system before touching the code — database schema, API contracts, tech stack decisions, and component structure. This phase prevents costly rewrites later. You see exactly what will be built and how.
Development happens in short, visible cycles. I ship working features to a staging environment regularly so you can see progress, give feedback, and course-correct early — not after everything is done.
Before anything goes live, I run thorough testing — edge cases, mobile responsiveness, API reliability, load handling. I fix what I find. You review the final build on staging and sign off before launch.
I deploy to production, monitor for issues, and make sure everything is stable. You get clean code, documentation, and a handoff call. Post-launch support is always available — I don't disappear after delivery.
Ready to start your project?
Discovery call is free — no commitment required.
[ 10 — Case Study ]
One project, fully unpacked. Problem, decisions, trade-offs, and what shipped.
Claude Opus 4.5 · Rails 8 · Next.js 16 · SEC Rule 204-2 compliance · Multi-tenant
6
AI deliverables per meeting — summaries, MIS score, behavioral profile, compliance flags, revenue opps, follow-up email
71+
PostgreSQL tables with full multi-tenancy via acts_as_tenant — zero cross-tenant leakage possible
100pt
SEC Rule 204-2 compliance score — configurable regex patterns, audit trail, CSV/PDF export
8
third-party integrations — Salesforce, Redtail, Wealthbox, Orion, Black Diamond, Google Calendar, Outlook, Recall.ai
Financial advisors were manually writing meeting notes after every client call, missing SEC Rule 204-2 compliance obligations, and losing track of follow-ups. The existing CRM landscape was fragmented — advisors worked across Salesforce, Redtail, Wealthbox, Orion, and Black Diamond with no unified intelligence layer. There was no way to extract structured insights from unstructured meeting audio without hallucinating financial data or violating compliance rules.
Recall.ai bots join live Zoom and Teams calls, AssemblyAI transcribes with PII redaction, and a single Claude Opus 4.5 invocation (AWS Bedrock, 20K token output) produces six structured deliverables: three summary lengths, a Meeting Intelligence Score, a behavioral profile (e.g. 'Anxious Investor', 'Risk Averse', 'Cost Conscious'), SEC Rule 204-2 compliance flags, revenue opportunities with estimated values, and a behaviorally-adapted follow-up email — all in one JSON response, persisted to 71+ tables in a single DB transaction across a fully multi-tenant Rails 8 + Next.js 16 platform.
A 100-point SEC compliance dashboard with configurable regex patterns and full audit trail. An AI-scored Kanban task engine synced bidirectionally to Salesforce, Redtail, and Wealthbox. Client Health Scores across 3,297 tracked clients. 186+ migrations, 200+ indexes, acts_as_tenant multi-tenancy across every table — with Devise + JWT + TOTP MFA + magic-link login securing every session. The kind of architecture the team can extend without rewriting.
Stack used
[ 12 — FAQ ]
Things people usually ask before reaching out. If yours isn't here, just send a message.
Still have questions?
I reply within 24 hours — usually much faster.
[ 09 — Writing ]
Thoughts on full-stack development, AI/ML, and shipping products.
Agentic AI is everywhere right now, but most tutorials skip the hard part: keeping agents reliable when they run for more than one step.
AI-assisted coding is the new normal. The gap isn't between people who use it and people who don't — it's between people who use it well and people who don't.
MCP is quietly becoming the standard for how AI models connect to the real world. Here's what it is, why it matters, and how to build your own server.
[ 07 — Contact ]
I'm open to freelance projects, full-time roles, and interesting collaborations. If you have an idea or an opportunity — let's talk.