Fast MVP Generator
Submit an idea on Telegram → a LangGraph agent interviews, specs, and orchestrates an automated build.
AI & Backend Engineer. I turn AI into products that ship, scale, and make money — from the model to production.
I turn AI into products that ship, scale, and drive real revenue — taking systems from model to production, end to end.
I ship AI-powered platforms end-to-end — model, backend, cloud, and the product people actually use.
I own the full ML lifecycle at scale on Azure & GCP. Lately: agentic AI — LangChain & LangGraph multi-agent systems, RAG over real clinical data, and vision agents in production.
Submit an idea on Telegram → a LangGraph agent interviews, specs, and orchestrates an automated build.
Real-time geopolitical dashboard — live oil prices, maps and impact analysis from GDELT, NASA & Yahoo Finance pipelines.
Monetization for AI coding IDEs — pays developers for ad impressions while they wait for AI, across Claude Code, VS Code & Cursor.
Team lead on the clinical infrastructure connecting pharmacies, prescribers and insurers in real time.
My tech & innovation studio — cloud, backend, ML and the user-facing product, all owned end-to-end.
Crowd-intelligence and spatial analytics from wireless signals, live across Montreal's public parks.
Applied ML research — computer vision and human-computer interaction systems.
Submit an idea on Telegram → a LangGraph agent interviews, specs, and orchestrates an automated build.
Hardened Ubuntu image for running autonomous AI agents as a sandboxed system service — AppArmor, audit logging, credential vault.
Python voice receptionist — speech-to-text, TTS, and conversation persistence for hands-free interaction.
Multi-exchange crypto/FOREX backtesting framework across 30+ exchanges with technical-analysis pipelines.
Real-time geopolitical dashboard — live oil prices, maps and impact analysis from GDELT, NASA & Yahoo Finance pipelines.
Monetization for AI coding IDEs — pays developers for ad impressions while they wait for AI, across Claude Code, VS Code & Cursor.
Revenue-recovery SaaS for local services — AI chat widget, missed-call SMS recovery, KPI dashboard. Fully serverless on AWS.
White-label real-estate platform — each agent gets a branded app from one themed binary, with RLS, Stripe and push.
Algorithmic-trading SPA with an obsidian-terminal UI — real-time P&L and an optional live FOREX.com bridge.
Large-scale URL-sharing & link-management SaaS, architected end-to-end — Django REST backend (billing, AI agents, pgvector) + React + Capacitor apps.

Runs on-device ML (TensorFlow.js + MobileNet) to rate outfit photos and recommend improvements.

Peer-to-peer card game with QR exchange, deck management and in-app purchases.

AI receptionist with native call integration (CallKeep) and real-time notifications.

Fast lane-switching survival game with Google sign-in and cloud sync.


Food & waste tracker (live as BetaBite) to cut household and business waste, backed by Supabase.

Idle merge game with combine mechanics, assets and an Expo build pipeline.

Daily horoscope app with scheduled push notifications.

Reminder & checklist app with notifications and local persistence.
HTML5 Canvas browser game with levels, scoring, combos and responsive scaling.
Yoga & wellness platform — Tauri (Rust + React) desktop app plus a live web presence.
Tauri desktop application with native Rust backend and React frontend over IPC.
Windows system-tray widget showing live Claude API usage and limits.
Automation that provisions local-business sites, enriches contacts and builds landing pages — live at dealeh.live.
Recommendations from managers, founders and colleagues — verified on LinkedIn.
It's my pleasure to highly recommend Kianoush, who has been instrumental as our Machine Learning Engineer at Kaidu for two years. His proficiency in AI modelling, backend scripting, database design, and analytics, coupled with his unwavering reliability, makes him an invaluable asset. He consistently rises to challenges and delivers high-quality work, even under tight deadlines.
I worked with Kianoush for over 2 years at Kaidu. He is a great resource — dedicated, thoughtful and creative. As a startup, we were working with new technologies and complex AI algorithms. Kianoush was up to the task, did good research while working on algorithms, and delivered as per expectations. I highly recommend him.
His work was very thorough, well documented, and beyond the performance level that I expected. He was a significant contributor in both the design of the project and the machine learning part, and quickly learned the new technical skills required without the senior developers' assistance. I feel confident in Kianoush's technical skills and highly recommend him for any position in machine learning engineering.
Kianoush is an exceptionally talented student with great work ethics, persistence, and enthusiasm for research. He possesses a unique combination of both theoretical and practical knowledge that allows him to implement results on various hardware and software platforms and programming languages. His work resulted in a high-quality publication at the top conference in our field.
I have worked with many bright professionals, but Kianoush's talent and problem-solving skills stand out among his peers. I remain impressed with his driven work ethic and ability to work creatively under pressure. He is a great team member, a natural leader, and always willing to help. I am confident Kianoush will be a great asset to any AI-based company.
Kianoush is a qualified algorithm developer. With his degree in machine learning, he answered our call and helped carry our development for more than a year. He has great abilities in Python and Computer Vision, and with his skills he brought tremendous value to our team.
Open to senior roles, fractional-CTO engagements, and consulting on AI, health-tech and product. The fastest way to reach me is email — I usually reply within a day.
© 2026 Kianoush Haratiannejadi · Toronto, Canada