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Machine Learning Engineer with 4+ years building and deploying predictive ML models across behavioral, conversational, and data-driven analytics products. Experienced end-to-end from feature engineering and validation to production integration, with a strong focus on measurable business outcomes. Background includes NLP-driven behavioral analytics in B2B SaaS, deep learning pipelines for classification and extraction, and MLOps infrastructure (Docker, CI/CD, AWS). Comfortable working across Product, Engineering, and Marketing to translate analytical insights into actionable decisions.…Machine Learning Engineer with 4+ years building and deploying predictive ML models across behavioral, conversational, and data-driven analytics products. Experienced end-to-end from feature engineering and validation to production integration, with a strong focus on measurable business outcomes. Background includes NLP-driven behavioral analytics in B2B SaaS, deep learning pipelines for classification and extraction, and MLOps infrastructure (Docker, CI/CD, AWS). Comfortable working across Product, Engineering, and Marketing to translate analytical insights into actionable decisions.

Tannaz Mostafid

AI Engineer, Data Scientist, Cloud Developer, +3

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Machine Learning Engineer with 4+ years building and deploying predictive ML models across behavioral, conversational, and data-driven analytics products. Experienced end-to-end from feature engineering and validation to production integration, with a strong focus on measurable business outcomes. Background includes NLP-driven behavioral analytics in B2B SaaS, deep learning pipelines for classification and extraction, and MLOps infrastructure (Docker, CI/CD, AWS). Comfortable working across Product, Engineering, and Marketing to translate analytical insights into actionable decisions.…Machine Learning Engineer with 4+ years building and deploying predictive ML models across behavioral, conversational, and data-driven analytics products. Experienced end-to-end from feature engineering and validation to production integration, with a strong focus on measurable business outcomes. Background includes NLP-driven behavioral analytics in B2B SaaS, deep learning pipelines for classification and extraction, and MLOps infrastructure (Docker, CI/CD, AWS). Comfortable working across Product, Engineering, and Marketing to translate analytical insights into actionable decisions.

Available to hire

Machine Learning Engineer with 4+ years building and deploying predictive ML models across behavioral, conversational, and data-driven analytics products. Experienced end-to-end from feature engineering and validation to production integration, with a strong focus on measurable business outcomes.

Background includes NLP-driven behavioral analytics in B2B SaaS, deep learning pipelines for classification and extraction, and MLOps infrastructure (Docker, CI/CD, AWS). Comfortable working across Product, Engineering, and Marketing to translate analytical insights into actionable decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

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.

Machine Learning Engineer at Linoglutition GmbH

May 1, 2024 - September 20, 2025

Built, validated, and deployed end-to-end deep learning pipelines for object detection and semantic segmentation using PyTorch and OpenCV for preprocessing, augmentation, and inference; improved model performance by 10–15% through reproducible experiments, hyperparameter tuning, and structured evaluation. Containerized models with Docker and served via FastAPI. Diagnosed data quality as the main performance bottleneck by separating data and model effects, quantified a 12% degradation, and defined a targeted improvement workflow. Partnered with B2B medical clients to scale requirements and audit datasets and models for bias, drift, and production readiness, setting acceptance criteria before deployment.

Machine Learning Engineer at Lingolution GmbH

May 1, 2024 - September 1, 2025

Built, validated, and deployed end-to-end deep learning pipelines for object detection and semantic segmentation using PyTorch and OpenCV for preprocessing, augmentation, and inference; improved model performance by 10–15% through reproducible experiments, hyperparameter tuning, and structured evaluation. Containerized models with Docker and served via FastAPI. Diagnosed data quality as the main performance bottleneck by separating data vs. model effects, quantifying a 12% degradation and defining targeted improvement workflows. Partnered with B2B medical clients to scale requirements and audit datasets/models for bias, drift, and production readiness, setting clear acceptance criteria before deployment.

Advanced Analytics - Applied Conversational AI at B2o Solutions GmbH

December 1, 2021 - January 1, 2024

Modeled longitudinal customer behavioral data using NLP (sentiment analysis, topic modeling) to identify engagement patterns and outcome predictors across thousands of sales interactions. Developed post-call analysis features (summarization, action points) and real-time conversational guidance embedded directly in a B2B SaaS platform. Partnered with Product, Engineering, and Sales in agile cycles to translate model outputs into deployable features, contributing to approximately 30% improvement in sales conversion KPIs.

Advanced Analytics - Applied Conversational AI (Bahos Solutions GmbH) at Bahos Solutions GmbH

December 1, 2021 - January 1, 2024

Modeled longitudinal customer behavioral data using NLP (sentiment analysis, topic modeling) to identify engagement patterns and outcome predictors across thousands of sales interactions. Developed post-call analysis features (summarization, action points) and real-time conversational guidance embedded directly in the B2B SaaS platform. Collaborated with Product, Engineering, and Sales in agile cycles to translate model outputs into deployable features, contributing to ~30% improvement in sales conversion KPIs.

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.