Hamza Bilal.

Hello! My name is Hamza Bilal and I work as an AI Automation Engineer, Workflow Automation Expert, and AI Agent Developer serving startups and agencies in the USA, UK, Germany, Australia, and across Europe. I design and ship production-grade automations on n8n, Make.com, and Zapier that replace manual operations with self-healing pipelines. Read my technical blog posts for deep-dives.

As a freelance n8n developer and Make.com automation expert, my core focus is business process automation — connecting CRMs, marketing tools, and LLMs into a single coherent system. I build CRM automation for HubSpot, Close CRM, GoHighLevel, and Salesforce, design LinkedIn outreach automation with Unipile and Dripify, and ship AI workflow automation for ecommerce — Shopify integrations, order routing, and AI-powered customer-support bots. Check out my featured projects to see real client work.

On the AI side, I am a custom AI agent developer for startups. I build production agents with OpenAI, LangChain, and Agno — with tool use, memory, and multi-step reasoning — and deploy custom ML models on AWS SageMaker, using AWS Comprehend for sentiment / entity / key-phrase analysis and AWS Textract for OCR in complex PDF data-extraction pipelines.

I am a Zapier expert for business automation, a specialist in custom API integrations (webhooks, OAuth 2.0, event-driven pipelines), and handle Zapier-to-n8n migrations to cut automation cost for agencies. If it moves data between two systems — or needs an AI in the middle — I have probably already shipped it.

I've also worked on data scraping projects, extracting valuable insights from social media platforms using Apify and other advanced techniques. These projects involved comprehensive text and video analysis, leveraging ML models to derive meaningful patterns and trends from large datasets. View my complete project archive.

Social Media Assessment (End-to-End AI/ML System)

I engineered an end-to-end social media assessment pipeline that ingests creator content from TikTok, Instagram, Facebook, and YouTube using Apify crawlers. The pipeline standardizes posts, captions, thumbnails, and videos, then routes them to specialized analyzers:

• TextAnalyzer: AWS Comprehend for sentiment, key phrases, entities, and language.
• ImageAnalyzer: Custom CNN models deployed on AWS SageMaker, consumed via HTTPS endpoints.
• VideoAnalyzer: Video → frames every 3 seconds → batch image analysis → aggregate insights.
• Transcription: OpenAI Whisper for accurate multilingual speech-to-text.
• Agents: Task-specific AI agents orchestrated with Agno + OpenAI for enrichment and reporting.

Python Web Frameworks in My Workflow

I build robust backends with Django for admin, ORM, and authentication; expose clean REST APIs withDjango REST Framework for browsable APIs and permissions; use FastAPI for high-performance, async microservices (model-serving, webhooks); and leverage Flask for lightweight utilities and internal tools. Services communicate over REST/JSON, with background jobs running via Celery/Redis.

ML Stack and Operations

Models and libraries I use include: Transformers and pipelines from Hugging Face, OpenAI APIs, custom TensorFlow/Keras and PyTorch CNNs for image understanding, and Whisper for ASR. I containerize models, deploy to AWS SageMaker (real-time endpoints), and operationalize data flows with S3, CloudWatch, and IAM. Text understanding uses AWS Comprehend for scalable NER, sentiment, and topic signals.

AI Automation & No-Code Ops

For the last 3+ years on-site at Techticks, I've held two concurrent roles: AI Automation & Backend Engineer (Apr 2023 – Present) and Trainer, AI Automation & Backend Engineering (Jan 2024 – Present). As an engineer I ship production workflows in n8n, Make.com, and Zapier that replace manual operations with self-healing pipelines, connecting CRMs (Close CRM, HubSpot, Salesforce, GoHighLevel), marketing tools, databases, and LLMs (OpenAI, LangChain, Agno) into a single coherent system. As Trainer I own the in-house curriculum — mentoring junior engineers on Python backends, workflow design, LLM and agent orchestration, and AWS deployment.

• End-to-end AI workflows with OpenAI + LangChain decision-making
• CRM + marketing automation (Close, HubSpot, Salesforce, GoHighLevel)
• Complex PDF data extraction with 100% accuracy (OCR + LLM + schemas)
• Custom API and webhook integrations across the stack
• Outreach at scale with Unipile and Dripify, AI-personalized
• Notion-as-backend patterns for client-facing portals (e.g. Hostyo)

AWS Deployment & MLOps

I own deployment end-to-end on AWS: backend services run on EC2/ECS behind API Gateway, background jobs on Lambda and SQS, artifacts and data in S3, and observability through CloudWatch and structured logs. I containerize ML models with Docker, push to ECR, and deploy to AWS SageMaker real-time endpoints for image and text inference. For text understanding at scale I lean on AWS Comprehend (sentiment, entities, key phrases, topics) and AWS Textract for OCR, glued together by Django/FastAPI services and n8n orchestration.

Currently, I hold two concurrent roles on-site at Techticks — AI Automation & Backend Engineer and Trainer, AI Automation & Backend Engineering — building scalable backends and AI-driven APIs that power real-world products, and training the next generation of engineers on the same stack. I'm passionate about driving innovation through AI integration and continuously improving development processes.

Here are a few technologies I've been working with recently: