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Hi everyone, my Name ist Alex and I finished my studies at ETH Zurich and I am now specializing in end-to-end Software and AI Services, with a focus on designing and managing these systems securely within cloud infrastructure. Core expertise spans cloud security, real-time monitoring, and quality assurance — ensuring that every layer of a service, from development to deployment, is reliable, observable, and compliant.…Hi everyone, my Name ist Alex and I finished my studies at ETH Zurich and I am now specializing in end-to-end Software and AI Services, with a focus on designing and managing these systems securely within cloud infrastructure. Core expertise spans cloud security, real-time monitoring, and quality assurance — ensuring that every layer of a service, from development to deployment, is reliable, observable, and compliant.

Alexander Feng

AI Developer, Full Stack Developer, Web Developer, +5

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Hi everyone, my Name ist Alex and I finished my studies at ETH Zurich and I am now specializing in end-to-end Software and AI Services, with a focus on designing and managing these systems securely within cloud infrastructure. Core expertise spans cloud security, real-time monitoring, and quality assurance — ensuring that every layer of a service, from development to deployment, is reliable, observable, and compliant.…Hi everyone, my Name ist Alex and I finished my studies at ETH Zurich and I am now specializing in end-to-end Software and AI Services, with a focus on designing and managing these systems securely within cloud infrastructure. Core expertise spans cloud security, real-time monitoring, and quality assurance — ensuring that every layer of a service, from development to deployment, is reliable, observable, and compliant.

Available to hire

Hi everyone, my Name ist Alex and I finished my studies at ETH Zurich and I am now specializing in end-to-end Software and AI Services, with a focus on designing and managing these systems securely within cloud infrastructure. Core expertise spans cloud security, real-time monitoring, and quality assurance — ensuring that every layer of a service, from development to deployment, is reliable, observable, and compliant.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

German

Fluent

Russian

Fluent

Chinese

Intermediate

Work Experience

AI Dev/Ops Engineer at Pro Senectute Switzerland

April 1, 2025 - Present

Led the development of a production-grade RAG chatbot (Avina) deployed on Azure for a national elderly-care provider, with multilingual DE/FR/IT support via a React widget on prosenectute.ch. Built a LangChain-based retrieval pipeline with language detection, metadata-filtered vector search (Chroma + Azure OpenAI text-embedding-3-large), and a multi-tier routing strategy. Created a FastAPI microservice with SQLAlchemy ORM and per-session rate limiting; implemented a multi-source indexing pipeline across Magnolia CMS, PDFs, FTP course catalogs, and e-commerce products, achieving ~95% citation accuracy. Authored Bicep IaC for Azure Container Apps, SQL Database, and Application Insights; instrumented the stack with OpenTelemetry and built Azure Monitor dashboards for RAG quality monitoring and regression gating.

Technical Co-Founder at Performance Lab

January 1, 2026 - Present

Architected a cloud-native sports video analysis platform on AWS (S3, SQS, RDS, ECS Fargate, Lambda) with Terraform IaC; processed performance metrics from mobile uploads to structured analytical results within minutes. Designed a modular computer vision pipeline extracting 7+ metrics—player tracking, pose estimation (13 DOF), shot classification, and court heatmaps—using YOLOv8 and ByteTrack. Built full-stack mobile-to-cloud integration using Expo/React Native with presigned S3 URL uploads and a FastAPI/SQLModel backend; established idempotent ECS Fargate microservices enabling zero-downtime autoscaling.

AI Dev/Ops Engineer at Distributed Computing Lab, ETH Zurich

February 1, 2025 - August 1, 2025

Developed a full-stack web application for machine learning benchmarking, enabling researchers to discover, filter, and download large-scale training datasets from integrated Swiss national databases. Designed backend integrations with external Swiss research databases, providing a unified API and workflow for large-scale data processing and analysis. Built researcher-facing tooling to streamline dataset acquisition pipelines and reduce manual data-collection overhead for ETH ML research groups.