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I am an AI & ML engineer with 4+ years of experience building and shipping ML-powered applications end-to-end; from model development and API design through to production deployment and monitoring. I am hands-on with Python, FastAPI, REST API integration, and user-facing AI features embedded in SaaS products, with a strong MLOps foundation across Docker, Kubernetes, AWS, and CI/CD. I enjoy collaborating with product stakeholders to translate requirements into deployed, scalable systems, and I am comfortable working independently in remote contractor settings.…I am an AI & ML engineer with 4+ years of experience building and shipping ML-powered applications end-to-end; from model development and API design through to production deployment and monitoring. I am hands-on with Python, FastAPI, REST API integration, and user-facing AI features embedded in SaaS products, with a strong MLOps foundation across Docker, Kubernetes, AWS, and CI/CD. I enjoy collaborating with product stakeholders to translate requirements into deployed, scalable systems, and I am comfortable working independently in remote contractor settings.

Tannaz Mostafid

AI Engineer, Data Scientist, Cloud Developer, +1

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I am an AI & ML engineer with 4+ years of experience building and shipping ML-powered applications end-to-end; from model development and API design through to production deployment and monitoring. I am hands-on with Python, FastAPI, REST API integration, and user-facing AI features embedded in SaaS products, with a strong MLOps foundation across Docker, Kubernetes, AWS, and CI/CD. I enjoy collaborating with product stakeholders to translate requirements into deployed, scalable systems, and I am comfortable working independently in remote contractor settings.…I am an AI & ML engineer with 4+ years of experience building and shipping ML-powered applications end-to-end; from model development and API design through to production deployment and monitoring. I am hands-on with Python, FastAPI, REST API integration, and user-facing AI features embedded in SaaS products, with a strong MLOps foundation across Docker, Kubernetes, AWS, and CI/CD. I enjoy collaborating with product stakeholders to translate requirements into deployed, scalable systems, and I am comfortable working independently in remote contractor settings.

Available to hire

I am an AI & ML engineer with 4+ years of experience building and shipping ML-powered applications end-to-end; from model development and API design through to production deployment and monitoring. I am hands-on with Python, FastAPI, REST API integration, and user-facing AI features embedded in SaaS products, with a strong MLOps foundation across Docker, Kubernetes, AWS, and CI/CD.

I enjoy collaborating with product stakeholders to translate requirements into deployed, scalable systems, and I am comfortable working independently in remote contractor settings.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

German

Intermediate

Persian

Fluent

Work Experience

AI Document Pipeline (Healthcare) at GitHub

April 1, 2026 - June 1, 2026

Built a production-grade MLOps pipeline for medical document classification; covering training, versioning, CI/CD, and AWS Lambda deployment (MLflow, GitHub Actions, S3, ECR). Implemented automated drift monitoring in production operations (Evidently AI, AWS CloudWatch). Designed an LLM-based triage agent for document routing using spaCy, Tesseract OCR, and LangChain.

Cloud & DevOps Engineer (Intensive Program) at Ironhack GmbH

October 1, 2025 - January 1, 2026

Attended bootcamp to upskill in engineering and maintaining ML systems in production. Deployed cloud-native ML apps on Azure AKS and AWS EC2 with Docker and Kubernetes, including GPU-based inference, auto-scaling, and VPC networking; provisioning infrastructure with Terraform and implementing monitoring with Prometheus and Grafana.

AI Solutions Engineer / Conversational AI at Advanced Analytics - Applied Conversational AI Solutions GmbH

December 1, 2021 - January 31, 2024

Analyzed sales conversation data (speech-to-text transcripts) into customer-facing AI features, contributing to ~30% improvement in tracked sales KPIs. Partnered with Product, Engineering, and Sales in agile cycles to translate ML findings into deployable features, defining success metrics, validation strategies, and rollout criteria.

Data Science Intern at Max Planck Institute

April 1, 2019 - January 31, 2020

Built data acquisition and processing pipelines for synchronized multi-modal time-series signals, solving temporal alignment and data quality issues across heterogeneous sensor streams.