Hire the Best Web Services Specialists
in Kenya

I'm a full-stack developer with 4+ years of experience, specializing in backend development with Python. I excel at building efficient APIs, optimizing databases, and solving complex backend challenges. While I can handle the full stack, my expertise shines on the backend. My core tools include Python (Django, Flask), Node.js, and PHP for backend work, paired with Vue.js and Tailwind CSS for frontend. I'm skilled in AWS, Azure, and Linux, and I'm an expert in MediaWiki development, including building custom extensions. **Core Stack**: - Backend: Python (Django, Flask), Node.js, PHP - Frontend: Vue.js, Tailwind CSS - Cloud & Tools: AWS, Azure, Linux - Special Expertise: MediaWiki Development

I design, build and operate production applications while building AI-powered systems that integrate directly into business workflows. My work spans cloud architecture, APIs, CRMs and scalable backend infrastructure with AI integrations using Claude, ChatGPT, MCP servers, Power Automate and custom automation pipelines. Core Expertise Microsoft Graph API CRMs (Go High Level, PipeDrive, Salesforce, Dynamics) Cloud Infrastructure (AWS, GCP, Azure, Hetzner, Digital Ocean) Linux server administration and automation AI integrations with Claude, ChatGPT and Power Automate MCP server development and tool-calling systems API integrations and workflow orchestration Infrastructure security, staging, backups, and production hardening Recent Projects Built a middleware application for call center sitting between Twilio, Bandwidth SMS, Salesforce and Microsoft Teams enabling real time communication between the systems. Built a production MCP server connecting ServiceM8 with Claude AI using 14 operational tools Built a restaurant POS system with inventory, POS and payments integrations Deployed and secured cloud environments with automated backups, staging systems, and CI/CD pipelines Implemented AI-powered workflows integrating external APIs, databases, and operational systems I work comfortably across the full stack of modern infrastructure and AI systems from provisioning servers and securing production environments to building intelligent integrations that automate business operations. Clients work with me when they need more than just a developer; they need an architect who understands business needs and create applications their pain points. Whether it is building custom middleware, syncing CRM processes, or developing and deploying AI-powered workflows, I focus on delivering production ready solutions that bring value to my clients and their stakeholders. If you need someone who can both architect reliable infrastructure and build production-ready AI systems on top of it, let’s discuss your project.

With 5+ years of hands-on experience as an AWS Solutions Architect and Linux System Administrator, I am dedicated to delivering robust and scalable cloud solutions. Based in Nairobi, Kenya, I specialize in crafting and managing secure AWS environments and optimizing Linux-based systems to ensure peak performance and reliability. My focus is on building lasting relationships with clients by providing expert consultation and support tailored to their specific needs. Skills: AWS Solutions Architecture: - Designing and implementing scalable, secure, and cost-efficient AWS infrastructures. - Expertise in VPC design, multi-region architectures, and disaster recovery planning. - Proficient in setting up and managing CI/CD pipelines using AWS services. Linux System Administration: - Extensive experience managing and optimizing Linux environments for performance and security. - Skilled in automating tasks with shell scripting, Ansible, and Terraform. - Proficient in configuring and managing web servers, load balancers, and databases. DevOps & Infrastructure as Code (IaC): - Advanced knowledge of Docker and CI/CD pipeline automation. - Implementing Infrastructure as Code using Terraform and AWS CloudFormation. - Expertise in configuration management tools like Ansible for automating system provisioning. Security & Compliance: - Securing AWS environments with IAM policies, security groups, and encryption. - Implementing monitoring and logging solutions using CloudWatch. - Ensuring compliance with industry standards such as GDPR, HIPAA, and PCI DSS. Consultation & Support: - Providing expert consultation for cloud migration, cost optimization, and architecture design. - Ongoing support and maintenance to ensure system reliability and uptime. - Collaborating with teams to align technology solutions with business objectives. My primary goal is to leverage my expertise to help businesses succeed by providing reliable, efficient, and scalable cloud and system administration solutions.

I'm a backend and data engineer with 8+ years building production systems in Python, Node.js, Django, Flask, and FastAPI and, increasingly, the AI layer sitting on top of them: LLM integration, AI agents, RAG pipelines, and workflow automation. I move comfortably between clean API development, solid data engineering, and the kind of technical writing and QA evaluation that most engineers skip and most clients wish someone would actually do well. I love documenting my journey - From challenges, breakthroughs, and lessons learnt. This has heavily boosted my technical writing experience and documentation. overall. My work covers three tightly connected lanes: 1. Backend & API Development: - Python (Django, Django REST Framework, Flask, FastAPI), Node.js, PHP/Laravel. - REST API design and development - API integration, authentication (JWT/OAuth), webhooks (Discord, Telegram, WhatsApp, Stripe, PayPal, Ayden, M-Pesa), and third-party integrations (payments, CRM, identity, fintech, HR/Payment). - PostgreSQL, MySQL, MongoDB - database security, schema design, query optimization, data modeling, DBMS. (As I validate idempotency & Race Conditions). - Docker, AWS, CI/CD, Git/GitHub, Kubernetes - deployment pipelines that don't fall over at 2 am. - Frontend when needed: React, Next.js, TypeScript, Bootstrap, Angular. **I ensure efficiency, security, Idiomatic and tested backend Engineering.** 2. Data Engineering & Automation: - ETL pipelines, data cleaning, data pipelines, reporting dashboards.(Power BI, Azure Data Factory). - Pandas, NumPy, scikit-learn, SQL, Apache Airflow - for data processing, monitoring, and analysis. - Web scraping and data extraction (BeautifulSoup, Scrapy, Selenium, Playwright) for structured data collection at scale. - Workflow automation with n8n, Zapier, and custom Python scripts that replace hours of manual work with a scheduled cron job. ** I ensure accuracy, consistency, security and integrity of the data.** 3. AI, LLM & Automation Engineering : - LLM API integration - OpenAI API, Claude/Anthropic API, and prompt-driven AI agent development. - RAG (Retrieval-Augmented Generation) pipelines, vector databases (Pinecone, Chroma, pgvector), and semantic search. - Prompt engineering, chatbot development, and AI-powered document/data extraction workflows. - AI evaluation and QA - I've spent real hours as a paid AI evaluator (Vetto Arena, Welo Data, a Microsoft Research AI productivity study) doing rubric-based LLM evaluation, adversarial prompting, multi-turn conversation annotation, and QA auditing of other annotators' work. **If your project needs someone who can tell you why your RAG bot is hallucinating, not just wire the API together, that's where I've actually spent time.** 4. Technical Writing : Developer guides, API documentation, tutorials, product manuals - written so a non-technical stakeholder and a backend engineer both walk away with what they need. I do this because am a senior developer working with other developers who could rely heavily on how the systems work, including the creative, design and implementation process. Why this combination matters: Python developers can build the endpoint. Fewer can also build the data pipeline feeding it, wire in an LLM agent responsibly, document it clearly, and evaluate whether the AI layer is actually working before you ship it. That's the gap I sit in. Flagship project: Vantage Market - a solo-built luxury e-commerce platform covering the full stack from architecture to deployment. Backend built on Flask, PostgreSQL, and Redis, containerized with Docker, with a React frontend. Includes a data pipeline feeding product/order analytics dashboards and full API documentation for every endpoint. Currently extending it with an AI-powered shopping assistant chatbot (LLM integration with RAG-based product search) in active development. I designed, built, evaluated, and documented every layer of it myself, which is exactly the range I bring to client engagements: backend, data, AI, and the writing that ties it together. It has over 4000 active users. Tech & Toolkit Languages: - Python, JavaScript/TypeScript, PHP, SQL, C, Java. - Frameworks: Django, Django REST Framework, Flask, FastAPI, React, Next.js, Express.js, Spring Boot, Bootstrap. - Databases: PostgreSQL, MySQL, MongoDB, Redis. - AI/LLM: OpenAI API, Claude/Anthropic API, RAG, vector databases, LangChain, prompt engineering, AI agent development. - Automation: n8n, Zapier, Python scripting. - Cloud/DevOps: AWS, Docker, Render, Git, CI/CD. - Tools: VS Code, Notion, Markdown, Google Docs/Sheets, Postman. If you need a Python/Django/FastAPI backend, a data pipeline that actually runs unattended, an AI agent or LLM integration that's been properly evaluated instead of just demoed, or documentation your team will actually read, let's talk. I turn "we think it kind of works" into "here's the test suite and the docs proving it does."

My work combines creativity, strategy and performance driven marketing to help brands stand out in todays digital space. From website development and SEO optimization to social media marketing and paid advertising, I focus on building digital experiences that are both visually compelling and results driven. I also specialize in SEO and local SEO optimization, helping businesses improve their search engine visibility and attract the right audience organically. Through Google Ads and Meta Ads management, I create and optimize campaigns that increase reach, generate leads, and support long term growth. In addition, I use analytics and performance tracking tools to monitor user behavior, website traffic, and campaign performance, allowing businesses to make informed marketing decisions.

Hi, I'm Ian – a Data Engineer specializing in building reliable, scalable data pipelines and e-commerce integrations that drive business growth. With 3+ years of experience developing data solutions for e-commerce businesses, I help companies automate their operations, synchronize marketplace data, and gain actionable insights from their data. My technical expertise in Python, SQL, and AWS, combined with my understanding of e-commerce operations, allows me to deliver solutions that directly impact revenue and efficiency. How I can help you: Custom API Integrations: Connect your business with marketplaces, drop shippers, and third-party services through automated, reliable integrations ETL Pipeline Development: Build robust data pipelines that transform raw data into valuable business insights Order Management Systems: Develop automated systems that synchronize orders across platforms with real-time notifications Database Optimization: Improve query performance and data processing speeds through strategic indexing and optimization Business Intelligence Solutions: Create dashboards and analytics platforms that visualize KPIs and drive decision-making Recent achievements: Reduced data processing times by 75% through PostgreSQL optimization Increased sales by 15% with a custom marketplace integration platform Improved fulfillment speed by 99% with an automated order management system Reduced manual data processing time by 60% with AI-powered tools My Skills And Favorite Tools: Data Engineering ETL Pipeline Development API Integrations e-Commerce Systems Python (FastAPI, Flask) PostgreSQL AWS Cloud Services Airflow Data Warehousing Business Intelligence Database Optimization MongoDB NoSQL Databases PowerBI, Apache Superset I approach every project with a focus on delivering business value through technical excellence. Let's discuss how data engineering can help solve your biggest business challenges. less