Farid – Python, React, Next.js

A high-performance B2B order management system that streamlines the supply chain and automates customer intake and demand forecasting.

• Architected a high-performance order management system facilitating fast B2B flour sales.
• Integrated an AI stack using OpenAI, LangChain, and Pinecone to automate customer intake via RAG pipelines and forecast demand.
• Directed migration from monolithic architecture to serverless microservices on AWS (ECS, Lambda, DynamoDB), reducing infrastructure costs by 25%.
• Architected a TypeScript-based data visualization suite using React, D3.js, and Node.js for 10K+ active users.
• Designed a high-throughput API gateway with rate limiting, JWT authentication, and OAuth2 integration.

A digital web platform designed to help international students process and manage administrative paperwork in Konstanz, simplifying access to essential local administrative services.

• Designed, created, and published the complete web application tailored specifically to local student administrative workflows.
• Developed the application structure to support student-focused administrative processes.
• Created web interfaces aligned with local student administrative requirements.
• Published the completed web application for use by international students.

A custom B2B software ordering system designed for local restaurants, developed in conjunction with the StartUp Express PreIncubator program in Oulu.

• Established the brand identity and web presence for a digital software partner specializing in custom applications.
• Architected a B2B restaurant software ordering platform, securing acceptance into a startup pre-incubation cohort.
• Improved orders and delivery by 40%.

Large-scale intelligent automation pipelines and a secure, HIPAA-compliant EHR ingestion pipeline for healthcare data processing.

• Designed and implemented intelligent automation pipelines using Python, FastAPI, and LangChain, reducing manual claim processing time by 70%.
• Orchestrated CrewAI and RAG pipelines for autonomous agents performing document parsing and classification.
• Built a secure, HIPAA-compliant EHR ingestion pipeline using AWS Kinesis, Lambda, and S3, processing over 1M transactions daily.
• Reduced API latency by 35% through Redis caching, asynchronous job queues, and service dependency refactoring.
• Implemented MLflow, Docker, and GitHub Actions pipelines for automated model training and deployment.

Modular backend services and real-time frontend dashboards handling high-volume analytics workloads for 100K+ monthly active users.

• Built modular backend services with Python, FastAPI, Flask, and Node.js for high-volume analytics.
• Designed event-driven architectures using RabbitMQ and BullMQ, automating asynchronous analytics pipelines.
• Migrated legacy PHP/jQuery applications into React + Redux SPAs, reducing technical debt and improving feature velocity by 35%.
• Automated billing and notification workflows using AWS Lambda, Twilio, and Stripe, reducing manual intervention by 60%.
• Refactored PostgreSQL and MongoDB schemas, reducing query response times by 45%.