Hire the Best Receipt Parsing Specialists in Nairobi, KE

👋Hello!👋 I have also mastered learning and generative AI (Data, Image & Text Annotations) My goal is to efficiently manage financial records, ensuring accuracy and compliance. I specialize in high-quality image and data annotation for computer vision projects. Whether you're training object detection models like YOLO or segmentation networks for medical or aerial imagery, I can help you build clean, labeled datasets that improve performance and reduce noise. 🔹 Annotation Tools I Work With: CVAT, Labelbox, Roboflow, V7, Superai, SuperAnnotate, Label Studio, Dataloop 🔹 Annotation Types I Handle: Object detection (bounding boxes) Instance & semantic segmentation (polygons, masks) ✔ Data Entry: I can help you with accurate and efficient data entry, ensuring that all informat ✔️ Lead Generation: I can help you find new customers by generating high-quality leads using a variety of techniques, such as LinkedIn specialist. Thank you. Gideon.

With 5+ years of experience, I am a Data Annotation Expert. Specialist in bounding box, polygon, polyline and semantic segmentation with experience working with different businesses and projects that develop computer vision and technologies for artificial intelligence. Well, most of my assignments for annotations were linked to: 1. Annotation Semantic, 2. Annotation for Image & Video, 3. Annotation of text, 4. Cuboid Annotation, 5. Polygon Annotation. Data Output Formats:- XML(Pascal Voc) COCO Format JSON CSV File Segmentation mask TXT(YOLO)

Web Scraping Expert | Data Engineer with 100% Job Success. My focus is on robust, maintainable solutions that continue working after delivery. What I do: ✅Extract data from any website, including logins, dynamic content, and protected APIs. For example, I’ve scraped Zillow property listings by connecting directly to Chrome via CDP with nodriver, intercepting internal API responses before they reached the DOM, validating them with Pydantic, and syncing into Supabase — over 500 listings per URL in under a minute, with zero detections. ✅Bypass anti‑bot systems such as Cloudflare, CAPTCHAs, fingerprinting, and rate limits. ✅Scrape authenticated content using real saved sessions to access dashboards and paywalled data like a logged‑in user. ✅Build production pipelines with validated, structured data delivered via API, CSV, database, or cloud storage. ✅Set up monitoring for price tracking, stock alerts, and change detection. ✅Turn scraped data into AI‑ready pipelines, including RAG systems and decision layers built on clean, validated data. 🛠️ My stack includes Python, Playwright, Selenium, nodriver, Scrapy, Crawlee, BeautifulSoup, Requests, Camoufox, UC ChromeDriver, curl_cffi, Docker, Pydantic, and Supabase/Postgres. Industries I serve include e‑commerce, real estate, job boards, social media, and members‑only platforms. How I work: I send a clear plan before we start — outlining what’s possible, what’s challenging, and how I’ll handle it. No surprises mid‑project. ⚡Ready to start? Share the website and the data you need. I’ll review the site’s protections and provide a clear scope, approach, and timeline before we begin.

I am a Data Annotation Specialist with 8+ years of experience working on large-scale data projects for machine learning and computer vision systems. I specialize in building, collecting, reviewing, and validating high-quality datasets for AI training and model development. My work covers the full data pipeline, including data collection, annotation, quality assurance, and dataset validation to ensure accurate, consistent, and production-ready datasets across complex AI systems. I work with image, video, audio, and text data, supporting end-to-end dataset preparation through labeling, review, and QA to deliver reliable training data for machine learning and computer vision models. 💼 CORE SERVICES ✓ Data collection (image, video, audio, text) ✓ Image annotation (bounding boxes, polygons, keypoints, cuboids) ✓ Video annotation and object tracking ✓ Semantic segmentation for computer vision datasets ✓ Data labeling and classification ✓ AI training data preparation and structuring ✓ Dataset cleaning, review, and validation ✓ Annotation quality assurance (QA checks and corrections) ✓ Data consistency checks and error detection ✓ Text annotation (NLP labeling, entity tagging, sentiment analysis) ✓ Audio annotation (transcription, segmentation, labeling) 📦 DELIVERABLES ✓ Clean, structured, production-ready AI training datasets ✓ Fully labeled datasets following strict project guidelines ✓ High-accuracy annotations for machine learning models ✓ Validated datasets with quality assurance checks ✓ Consistent, error-free labeling across large datasets ✓ Well-structured datasets ready for AI model training ✓ Data collection outputs organized for AI pipelines ✓ QA-reviewed datasets with corrections and improvements ✓ Fast, reliable delivery of large-scale annotation projects ✓ Dataset formats compatible with client tools and workflows ⚙️ TOOLS & PLATFORMS ✓ CVAT ✓ Labelbox ✓ Roboflow ✓ Label Studio ✓ Supervisely ✓ SuperAnnotate ✓ Segments.ai ✓ Hasty.ai ✓ Single Review Tool (SRT) 🌍 AVAILABILITY Available for both short-term and long-term projects. I adapt quickly to client tools, workflows, and data requirements, ensuring smooth integration into any AI data pipeline. 📩 CALL TO ACTION If you need high-quality data collection, annotation, and validated AI training datasets, feel free to invite me to your project or send a message. I am ready to start immediately and deliver reliable, production-ready results.

I build API integrations, data extraction pipelines and business automations that keep running after handover. 75 of them are live right now on the Apify marketplace, serving 3.8K users at over 99 percent run success. Most integration and scraping work fails the same way. It does not crash. It quietly returns the wrong number, and nobody notices for a month. So every pipeline I build ships with something that checks it: a second reader that reads the same source a different way and compares. That habit caught 26 records dropped in silence from a client file last month, before the client ever saw it. What I do API integration and REST or GraphQL development in Node.js and Python Data extraction and web scraping at production scale, including sources behind login Backend and database architecture on PostgreSQL, including multi-tenant isolation with row level security enforced in the database rather than the application Business process automation with n8n and Make, with the parts that must not break written as code Webhook pipelines with idempotency, so a retry corrects instead of duplicating LLM and AI integration where reasoning earns its place, and plain code where it does not Work you can check PenBot, a SaaS I run with paying subscribers. PostgreSQL, Stripe subscriptions with webhook handling that cannot double process, MFA and encrypted credentials at rest. Haulr, a logistics platform live on the Apple App Store, whose backend enforces three isolated roles through row level security written by hand, so access is decided in the database rather than in the application. Cactus Watch, a road safety app live on the Apple App Store. Flutter with a Firestore backend, shipped through full CI/CD for both platforms. Links to all three, plus the 75 live pipelines, are in my Portfolio section below. How I work I tell you when your brief is wrong before I build it, not after. I would rather send a working sample than a promise. And I will tell you when there is a cheaper or simpler way to get what you want, even when it costs me the larger job.

I am a Full Stack Engineer and Data Extraction Specialist. I help businesses build scalable SaaS platforms and the automated data pipelines that power them. My approach is simple: I build the software you need, and the data that drives it. Whether that's a complex SaaS MVP with secure payments or a cloud-based scraper running on Apify, I deliver clean, robust, production-ready code. MY CORE SERVICES: Full Stack & SaaS Architecture SaaS MVPs: End-to-end development including secure authentication (Auth0/NextAuth), Stripe payments, and role-based user management. API Development: Fast RESTful and GraphQL APIs using Node.js (Express/NestJS) or Python (FastAPI). Database Design: Optimized PostgreSQL or MongoDB schemas built to handle large datasets. Advanced Web Scraping & Data Extraction Scalable Cloud Scraping: Custom Apify Actors that extract thousands of records without getting blocked. Dynamic Content: Playwright and Crawlee for complex single-page applications standard tools can't touch. Anti-Bot Evasion: Proxy rotation and fingerprint management to bypass Cloudflare and CAPTCHAs. Frontend Engineering Modern UI: Responsive, mobile-first frontends in React, Next.js, and Tailwind CSS. Performance: Server-side rendering for fast load times and strong Core Web Vitals. Data Visualization: Turning raw data into interactive dashboards with Recharts and D3.js. MY TECH STACK: Frontend: React.js, Next.js, TypeScript, Tailwind CSS, ShadCN UI. Backend: Node.js, Express, NestJS, Python (FastAPI). Scraping & Automation: Apify, Crawlee, Playwright, Puppeteer, Make, n8n. Databases: PostgreSQL, MongoDB, Supabase, Redis. DevOps: AWS (EC2/S3), Docker, Vercel, Netlify, Render, Railway. WHY WORK WITH ME? Strict Standards: I write strict TypeScript and clean, documented code to prevent bugs. Clear Communication: I treat every project like a partnership, with daily updates and clear roadmaps. I'm Top Rated on Upwork and ready to start building. Let's chat.