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You will get I will build an AI automation system for your business workflow
Rising Talent
Project details
You will get a practical AI automation system that connects your business workflow to Python backend logic, APIs, data processing, and optional LLM/AI steps.
This is not a generic chatbot or one-off script. I build production-minded automation workflows with clear inputs, validated outputs, error handling, documentation, and handover so your team can actually use the system after delivery.
Typical use cases include automating document intake, emails, forms, CRM/ERP updates, reporting, customer workflows, internal operations, data transformation, API-based processes, and repetitive manual tasks.
The goal is simple: reduce manual work, connect your systems, improve speed, and create a reliable workflow that fits your real business process.
This is not a generic chatbot or one-off script. I build production-minded automation workflows with clear inputs, validated outputs, error handling, documentation, and handover so your team can actually use the system after delivery.
Typical use cases include automating document intake, emails, forms, CRM/ERP updates, reporting, customer workflows, internal operations, data transformation, API-based processes, and repetitive manual tasks.
The goal is simple: reduce manual work, connect your systems, improve speed, and create a reliable workflow that fits your real business process.
Machine Learning Tools
AnyLogic, Apache Mahout, Apache Spark, Apache Spark MLlib, Azure Machine Learning, Caffe, ChatGPT, Cloudera, Databricks MLflow, deeplearn.js, fastText, Fiddler.ai, GitHub Copilot, Google Data Studio, H2O, Hortonworks, Kubeflow, OpenCV, PyTorch, QlikView, RapidMiner, Sonnet, SQL, Stanford CoreNLP, XGBoostWhat's included
| Service Tiers |
Starter
$750
|
Standard
$2,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 0 | 1 | |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Ahmed
Ex-Google Tech Lead | AI, Quant, Java/Python Systems
Stockholm, Sweden - 4:21 am local time
New to Upwork, not new to elite production engineering.
I’m a Sweden-based software engineer and technical lead with nearly 10 years of experience across Google-scale engineering, banking/payment systems, quant strategy tooling, public-sector platforms, telecom, transport, cloud-native backend systems, and applied AI/data automation.
My strongest work sits at the intersection of:
• Backend engineering
• Java / Spring Boot systems
• Python engineering
• AI automation and applied machine learning workflows
• Quantitative strategy tooling
• Prediction-market analytics
• Cloud-native architecture
• Distributed systems
• REST APIs and integrations
• Production hardening
• Technical leadership
I have worked as a Tech Lead at Google, built quant developer tooling for Polymarket weather-market strategies, and currently work as a Lead Software Developer in banking, where I support time-sensitive payment flows, high-volume customer communication, and an AWS microservice estate of around 60 services.
I am the kind of engineer you bring in when the system is complex, the requirements are messy, the stakes are high, and you need someone who can think like an architect, build like a senior engineer, and execute like an owner.
What I can help you with:
• Java / Spring Boot backend development
• Python backend development
• AI-powered automation systems
• LLM integrations and internal AI tools
• REST API design and implementation
• Microservices architecture
• AWS backend systems
• Docker, Kubernetes, and CI/CD
• Data pipelines and analytics backends
• Quantitative research tooling
• Prediction-market data ingestion and strategy infrastructure
• Trading/forecasting dashboards and automation
• Kafka, RabbitMQ, MQTT, and integration-heavy services
• Elasticsearch-backed search and analytics
• Legacy system refactoring
• Performance optimization
• Production hardening and incident follow-up
• Technical leadership, code reviews, mentoring, and delivery ownership
Why clients hire me:
• I do not just complete tickets. I clarify the business goal, identify edge cases, design the technical path, implement, test, ship, and follow up.
• I can work across Java, Python, cloud, APIs, AI workflows, data, and complex backend systems.
• I have operated in environments where correctness matters: Google-scale engineering, banking, payments, public-sector systems, telecom platforms, quant tooling, and prediction-market analytics.
• I communicate clearly with founders, CTOs, product owners, architects, and engineering teams.
• I care about production quality: clean service boundaries, predictable runtime behavior, observability, maintainability, useful tests, and systems another senior engineer can safely own later.
• I can move fast without creating chaos.
Strong fit for:
• Startups that need a senior engineer who can build the first serious version of a product
• SaaS companies that need backend, AI, automation, or API delivery
• Fintech/payment companies that need reliability and integration depth
• Quant, trading, forecasting, or prediction-market teams that need software infrastructure
• Companies modernizing fragile Java/Spring or Python systems
• Teams adding AI/LLM automation to real business workflows
• CTOs who need someone who can own architecture and implementation
Selected background:
• Tech Lead at Google — engineering leadership, system design, execution quality, and production-grade delivery
• Quant Developer for Polymarket weather-market strategies — forecasting infrastructure, market analytics, data pipelines, and strategy tooling
• Lead Software Developer at Resurs Bank — Java, Spring Boot, AWS, payments, high-volume communication flows, Docker, Kubernetes, and 60+ microservices
• Backend/public-sector systems at Ida Infront, Jordbruksverket, and Tullverket
• Telecom platform experience with Ericsson via Cybercom
• M.Sc. in Computer Security / Information Technology
• Published research experience in simulation-based fraud-detection datasets
• Creator of PaySim, a Java-based financial transaction simulator for fraud-detection research
If you need a serious software engineer who can build, stabilize, automate, scale, or modernize complex systems across backend, AI, cloud, data, quant, or Java/Python engineering, send me your project context and I’ll tell you exactly how I would approach it.
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Understand workflow and success criteria
I review your workflow, inputs, outputs, systems, edge cases, and business goal so the automation solves the real operational problem.