Freelancers for "Engineering" in İstanbulFreelancers for "Engineering" in İstanbul

Search results for 'Engineering'

ProjectsPeople

Results that are similar to your search

Similar results

Russell Williamson's avatar
Russell Williamson
Little Rock, USA
Small-Business Website Builder | RVW Systems
1x
Hired
5.0
Rating
11
Followers
Small-Business Website Builder | RVW Systems
Cover image for Building Tether — From Noisy
Building Tether — From Noisy Telemetry to Deterministic Operations Role: Lead Architect & Full-Stack Developer Tech Stack: React, Cloudflare (Pages, Workers, R2, Zero Trust), Google Cloud Platform (Cloud Run, Cloud Storage), Python, FastAPI, Scikit-Learn. The Challenge: The Hospitality Data Gap Modern hospitality operators are drowning in data but starving for actionable intelligence. A restaurant's two most critical systems—the Point of Sale (revenue) and the scheduling platform (labor)—operate in complete isolation. Because these systems do not dynamically communicate, managers are forced to make high-stakes labor cuts on the fly based on delayed reporting and gut feeling. This disconnect results in thousands of dollars of weekly margin bleed. The challenge was clear: build a system that bridges these fragmented APIs, normalizes the data, and provides real-time operational certainty. The Solution & The Product Pivot I engineered Tether to be an AI-native operational layer for restaurant management. However, the true breakthrough of this project wasn't just technical—it was architectural. Initially, I designed Tether as a "Live Data Prediction Tool" that used active telemetry to drive real-time floor decisions. Through testing and auditing the data streams, I identified a critical UX flaw: live data is inherently noisy and reactive. To solve this, I executed a complete priority inversion, refactoring the application state to a "Schedule-First" philosophy. Instead of chasing live data, Tether now ingests historical data to generate a deterministic, highly optimized 14-day schedule baseline. The machine learning models were strategically demoted from "decision makers" to "real-time guardrails." Once the floor opens, Tether acts as a safety net, validating execution against the baseline and alerting managers to profit leaks before they compound. Technical Execution: A Masterclass in Edge ML To ensure security, scale, and sub-100ms latency, I architected Tether as a zero-backend Single Page Application (SPA) driven by serverless microservices. Edge Infrastructure & Security: The frontend is deployed via Cloudflare Pages and secured behind a Cloudflare Zero Trust perimeter, requiring One-Time PIN (OTP) authentication for operator access. Data Normalization: I developed Cloudflare Worker proxies to securely handle OAuth handshakes, ingest data from POS systems (Square, Toast) and labor platforms (7shifts), and normalize the varied streams into a unified, sanitized client schema. Autonomous ML Pipeline: I engineered a fully autonomous, serverless retraining loop hosted on Google Cloud Run. Every Tuesday at 3:00 AM UTC, the pipeline wakes up, pulls historical telemetry from Cloudflare R2, and retrains the primary Approval and Labor-to-Sales (LTS) models (using Ridge and Logistic Regression). Strict Data Contracts: The ML pipeline strictly enforces a 63-feature data contract. It validates baseline accuracy and ensures zero NaNs before allowing any model to pass into production, guaranteeing operational stability. Highly Optimized Model Distribution: Fresh model weights are served to the browser via a Dockerized FastAPI microservice (kept aggressively lean at ~500MB) and distributed globally through Google Cloud Storage (GCS). The Business Impact Tether replaces the anxiety of restaurant management with mathematical certainty. By automating the schedule generation and monitoring real-time Labor-to-Sales (LTS) velocity, Tether catches margin bleed live—such as a sudden drop in patio sales pace due to weather. It translates complex ML predictions into simple, actionable alerts (e.g., "Trim one support role. Protects $190 margin."). The result is protected daily profit margins, guaranteed labor compliance, and management teams empowered to run their floors with absolute confidence.
0
96
Cover image for AI Guest-Flow Intelligence System Design
AI Guest-Flow Intelligence System Design
0
13
Cover image for A roofing company was spending
A roofing company was spending $70,000 a year on a 4-person manual inventory and procurement operation. I replaced it with a zero-touch pipeline. No human data entry. No spreadsheet handoffs. No "did we order that?" Slack messages at 9pm. The system runs on Airtable, Python, and OpenAI. It took 3 weeks to build. It paid for itself in the first month. Here's what I've learned after 20+ years of operations work and building these systems across hospitality, e-commerce, SaaS, and construction: The expensive problem is almost never the one you think it is. It's not the software. It's the 6 spreadsheets nobody wants to touch. It's the workaround that became company policy. It's the process that only works because one person memorized it. I build systems that replace all of that: the CRM, the automation, the AI agents, the dashboards, the content pipelines. One architect, one connected system, everything built to work together from day one. Recent builds: Recovered 20 hours/week for a multi-venue hospitality operation Unified 5 e-commerce storefronts into one automated command center Built an AI system that replaced 8 improv actors per venue per night (yes, really) Turned a hiring round into a one-button AI content pipeline What's the one manual process in your business that you know is costing you the most time, but you haven't fixed yet? #BusinessAutomation #AI #Operations #SystemsArchitecture #Airtable #Python #WorkflowAutomation #NoCode #ECommerce +1
1
176
Cover image for Building an AI-powered affiliate
Building an AI-powered affiliate publishing engine from the ground up. I am currently working on a full automation system for NodeRidge, designed to turn product and software research into structured, review-ready WordPress content with human approval built into the workflow. The goal is simple: remove the repetitive work from affiliate publishing while keeping quality control, visibility, and editorial review in place. This build connects: 🗄️Airtable as the central operations hub ⚡Make.com (http://Make.com) for workflow automation 🧠OpenAI for content generation 📝WordPress for draft publishing 📊Google Search Console for rank and performance tracking What I like most about this project is that it is not just "AI writing content." It is a real backend publishing engine with structured data, review gates, sync monitoring, and operational visibility. The system is already handling prompt runs, WordPress draft syncing, affiliate link registry logic, and QA tracking. My next focus is scaling the Airtable architecture to handle higher volume. This is the kind of build I enjoy most: connecting messy manual workflows into a clean system that can actually scale. What are the biggest operational bottlenecks you're currently dealing with in your own workflows?
1
219
Systems Engineer(5)
Fullstack Engineer(1)
Security Engineer(1)
Software Engineer(1)
Data Engineer(1)
Ari Harrison's avatar
Ari Harrison
proSan Francisco, USA
AI & ML Engineer
$1k+
Earned
7x
Hired
29
Followers
AI & ML Engineer
Cover image for AI Groceries An AI-powered online grocery
AI Groceries An AI-powered online grocery delivery platform built with Next.js 15, React 19, Supabase, Claude API, and Stripe. Designed around "The Harvest Table" philosophy -- abundant, warm, and grounded in real food provenance.
1
272
Cover image for Biglabs Consulting-grade template for professional services
Biglabs Consulting-grade template for professional services firms. Manage case studies, articles, services, careers, testimonials, and client consultations with AI-powered analytics. Deploy in minutes, no local setup required. Features Thought Leadership — Publish articles and insights with categories, excerpts, and rich content Service Pages — Present your consulting services with detailed descriptions and feature lists Consultation Booking — Public intake form for prospective clients with scheduling preferences Careers Portal — Post open positions with departments, requirements, benefits, and salary ranges AI Analytics — Claude-powered insights and reporting on your consulting data And more.....
0
275
Cover image for AI Courses An online course marketplace
AI Courses An online course marketplace with Claude AI-powered learning recommendations, instructor analytics, and platform management. Deploy in minutes, no local setup required. Features Course Marketplace — Browse, search, and filter courses by category, price, and level Student Dashboard — Track enrolled courses, progress, wishlist, and messaging Instructor Portal — Create courses with structured sections and lessons, manage content Admin Panel — Moderate courses (approve/reject), manage users, configure platform fees Claude AI Integration — Personalized learning recommendations, instructor analytics, platform health reports And more......
1
1
125
Cover image for Markey A multi-vendor marketplace connecting artisan
Markey A multi-vendor marketplace connecting artisan sellers with collectors. Beautiful dark-first design with Stripe Connect split payments, AI-powered product descriptions, and full admin controls. Deploy in minutes, no local setup required.
0
119
Fullstack Engineer(5)
ML Engineer(3)
UX Engineer(2)
Data Engineer(2)
Software Engineer(1)
Pavlo Krasnytsia's avatar
Pavlo Krasnytsia
Lviv, 79000
Tech Leader | AI, Blockchain & Technology Architect
7
Followers
Tech Leader | AI, Blockchain & Technology Architect
Cover image for Built a secure key management
Built a secure key management and programmable policy platform for Web3 infrastructure, enabling teams to enforce transaction rules, automate approval logic, and protect sensitive signing workflows using hardware-backed controls. This project signals senior-level expertise in security architecture, backend systems, and blockchain operations.
1
215
Cover image for Created a real-time blockchain data
Created a real-time blockchain data platform that streams on-chain data into developer and analytics workflows with low-latency pipelines, indexing, and database delivery. This project showcases strong full-stack architecture, data engineering, and blockchain infrastructure capabilities for modern financial applications.
1
203
Cover image for Developed a real-time on-chain threat
Developed a real-time on-chain threat detection platform that monitors smart contracts, wallets, governance actions, and protocol activity to surface emerging attacks before damage occurs. This project demonstrates strong blockchain security engineering, alerting architecture, and production-grade risk monitoring at scale.
1
154
Cover image for Botpress | The Complete AI Agent Platform
Botpress | The Complete AI Agent Platform
1
16
Fullstack Engineer(9)
Security Engineer(2)
Systems Engineer(1)
ML Engineer(1)
Data Engineer(1)
Yurii Lysyshak's avatar
Yurii Lysyshak
proLisbon, Portugal
Mobile Apps for Businesses & SaaS | UX/UI + Flutter
$1k+
Earned
3x
Hired
5.0
Rating
119
Followers
Mobile Apps for Businesses & SaaS | UX/UI + Flutter
Cover image for T-Platform, a unified trading app
T-Platform, a unified trading app for crypto, stocks and forex. Three markets, three apps, no way to see real exposure. We put all of it into one dark workspace: real-time charts, order execution, positions and history in a single view. Full case study here: https://www.behance.net/gallery/255562509/T-Platform-Crypto-Stock-Trading-UXUI-Mobile
4
12
578
Cover image for Light or dark? I shipped Golf Travel Passport with both, whi...
Light or dark? I shipped Golf Travel Passport with both, which one would you keep open on the first tee?
26
33
1.4K
Cover image for Geek Meet Club - Community & Dating Platform
Geek Meet Club - Community & Dating Platform
12
13
Cover image for E-Commerce Social Networking Marketplace
E-Commerce Social Networking Marketplace
7
15
Fullstack Engineer(5)
Platform Engineer(3)
ML Engineer(2)
UX Engineer(1)
Ugo Chukwu's avatar
Ugo Chukwu
proDubai - United Arab Emirates
Fractional AI & Finance Automation Lead | Model Fine-tuning
$10k+
Earned
6x
Hired
5.0
Rating
49
Followers
BUILDSHIP_EXPERT

expert

Fractional AI & Finance Automation Lead | Model Fine-tuning
Cover image for IOS Risk Data Foundry — Domain-Specific Financial Risk AI
IOS Risk Data Foundry — Domain-Specific Financial Risk AI
1
19
Cover image for ML Evaluation Infrastructure for Fraud Detection
ML Evaluation Infrastructure for Fraud Detection
0
15
Cover image for Your first fine-tune should teach
Your first fine-tune should teach you the whole loop. I walk through it with Unsloth: data → baseline → training → evaluation → local model → Python. Including a mistake I made—and why a completed training run doesn't mean you have a better model. Full tutorial below 👇 https://youtu.be/YxXBojdD1as
0
57
Cover image for UGC Video Prompt Automation System
UGC Video Prompt Automation System for Ad SaaS Designed and implemented a prompt-generation system that converts structured ad scripts into best-in-class, scene-level video generation prompts for UGC-style TikTok/Reels ads. The workflow ingests Agent 2 outputs (concept, scenes, hooks, body, CTA, product positioning) and applies reusable prompt templates and logic to enforce character consistency, natural speech patterns, realistic lighting/camera imperfections, and casual, native social media aesthetics. Delivered a production-ready specification for Agent 3 integration, a reusable prompt library, and a fully generated UGC-style video produced end-to-end with this system.
1
261
ML Engineer(4)
Fullstack Engineer(2)
Software Engineer(2)
Data Engineer(2)