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Hi, I’m Allan Poder, a Senior AI & ML Engineer with 9+ years of experience designing, building, and deploying data-driven AI systems using Python and modern ML frameworks. I specialize in scalable architectures, predictive and generative models, and end-to-end MLOps across cloud platforms like AWS, Azure, and Google Cloud. I’ve led projects involving NLP, computer vision, and large language models, delivering production-grade pipelines and reliable AI services. I enjoy turning complex AI challenges into practical, explainable solutions that drive real business value. I thrive in collaborative teams, mentoring engineers, and continuously learning new technologies to push the boundaries of AI and ML deployment in production environments.…Hi, I’m Allan Poder, a Senior AI & ML Engineer with 9+ years of experience designing, building, and deploying data-driven AI systems using Python and modern ML frameworks. I specialize in scalable architectures, predictive and generative models, and end-to-end MLOps across cloud platforms like AWS, Azure, and Google Cloud. I’ve led projects involving NLP, computer vision, and large language models, delivering production-grade pipelines and reliable AI services. I enjoy turning complex AI challenges into practical, explainable solutions that drive real business value. I thrive in collaborative teams, mentoring engineers, and continuously learning new technologies to push the boundaries of AI and ML deployment in production environments.

Allan Poder

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Hi, I’m Allan Poder, a Senior AI & ML Engineer with 9+ years of experience designing, building, and deploying data-driven AI systems using Python and modern ML frameworks. I specialize in scalable architectures, predictive and generative models, and end-to-end MLOps across cloud platforms like AWS, Azure, and Google Cloud. I’ve led projects involving NLP, computer vision, and large language models, delivering production-grade pipelines and reliable AI services. I enjoy turning complex AI challenges into practical, explainable solutions that drive real business value. I thrive in collaborative teams, mentoring engineers, and continuously learning new technologies to push the boundaries of AI and ML deployment in production environments.…Hi, I’m Allan Poder, a Senior AI & ML Engineer with 9+ years of experience designing, building, and deploying data-driven AI systems using Python and modern ML frameworks. I specialize in scalable architectures, predictive and generative models, and end-to-end MLOps across cloud platforms like AWS, Azure, and Google Cloud. I’ve led projects involving NLP, computer vision, and large language models, delivering production-grade pipelines and reliable AI services. I enjoy turning complex AI challenges into practical, explainable solutions that drive real business value. I thrive in collaborative teams, mentoring engineers, and continuously learning new technologies to push the boundaries of AI and ML deployment in production environments.

Available to hire

Hi, I’m Allan Poder, a Senior AI & ML Engineer with 9+ years of experience designing, building, and deploying data-driven AI systems using Python and modern ML frameworks. I specialize in scalable architectures, predictive and generative models, and end-to-end MLOps across cloud platforms like AWS, Azure, and Google Cloud. I’ve led projects involving NLP, computer vision, and large language models, delivering production-grade pipelines and reliable AI services.

I enjoy turning complex AI challenges into practical, explainable solutions that drive real business value. I thrive in collaborative teams, mentoring engineers, and continuously learning new technologies to push the boundaries of AI and ML deployment in production environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI & Machine Learning Engineer at DeepVision Analytics

September 1, 2025 - October 6, 2025

Designed and deployed large-scale recommendation engines with TensorFlow and PyTorch, delivering personalized product feeds that improved CTR and AOV. Built real-time data pipelines with Apache Airflow, Spark, and Kafka to process clickstream and transaction data, supporting a feature store for low-latency personalization. Deployed deep learning models on AWS SageMaker, containerized with Docker, and orchestrated with Kubernetes, enabling models to serve millions of daily requests. Implemented MLOps workflows with MLflow and Terraform, including automated retraining and drift detection, reducing deployment cycles from weeks to days. Applied NLP models (transformers, embeddings) to optimize search relevance and product ranking. Conducted A/B testing and built Grafana/Prometheus dashboards to monitor KPIs. Collaborated with product managers, data engineers, and SaaS teams to integrate ML features into customer-facing applications, while mentoring junior ML engineers on best practices.

Machine Learning Engineer at DataForge Solutions

September 1, 2022 - October 6, 2025

Designed and implemented NLP pipelines for large-scale text classification, intent detection, and information extraction used across enterprise SaaS applications. Developed computer vision models with OpenCV, TensorFlow, and PyTorch for document image recognition, including OCR and form processing. Migrated legacy ML workflows to Google Cloud Platform (GCP), integrating with BigQuery for scalable data storage, query optimization, and analytics. Built internal ML deployment and visualization tools with Flask and Streamlit, enabling non-technical stakeholders to interact with models. Applied SHAP and LIME for explainable AI to improve interpretability and meet compliance. Containerized ML models with Docker and deployed as REST APIs. Established model monitoring and retraining workflows to track drift and ensure stable performance. Collaborated closely with data engineers, DevOps, and product managers to align ML solutions with business needs.

Data Scientist & ML Developer at NordicSoft Technologies

October 1, 2019 - October 6, 2025

Created churn prediction and fraud detection models to enhance risk management; designed time-series forecasting systems for financial trend prediction and scenario modeling. Built interactive dashboards in Tableau and SQL to monitor KPIs across fraud, credit, and customer segments. Integrated predictive models into Spring Boot APIs to provide real-time analytics within banking applications. Optimized feature engineering pipelines and collaborated with software engineers to deploy ML solutions into production with Docker and Git.

Junior Data Developer & ML Developer at Tallinn Data Systems

February 1, 2018 - October 6, 2025

Built and maintained ETL pipelines to ingest, clean, and transform millions of daily POS transactions. Developed fraud detection models to reduce chargebacks. Automated recurring reporting workflows, improving efficiency. Supported data migrations to AWS S3 and contributed to real-time dashboards for stock movement and replenishment planning.

AI & Machine Learning Engineer at DeepVision Analytics

September 1, 2025 - October 9, 2025

Designed and deployed large-scale recommendation engines with TensorFlow and PyTorch to deliver personalized product feeds, increasing CTR by 22% and AOV by 15%. Built real-time data pipelines using Apache Airflow, Spark, and Kafka to process clickstream and transaction data, supporting a feature store for low-latency personalization. Deployed models on AWS SageMaker, containerized with Docker, and orchestrated with Kubernetes for scalable, production-grade serving. Implemented ML workflows with MLflow and Terraform, enabling automated retraining and drift detection and reducing deployment cycles from weeks to days. Applied NLP transformers and embeddings to optimize search relevance and product ranking, increasing user engagement by 18%. Monitored performance and latency with Grafana/Prometheus dashboards and led cross-functional collaboration with PMs, data engineers, and SaaS teams, mentoring junior ML engineers.

Machine Learning Engineer at DataForge Solutions

September 1, 2022 - October 9, 2025

Designed and implemented NLP pipelines for large-scale text classification, intent detection, and information extraction used across enterprise SaaS applications. Developed computer vision models for document image recognition (OCR and form processing) to automate reviews for fintech and legal clients. Migrated legacy ML workflows to Google Cloud Platform, integrating with BigQuery for scalable storage and analytics. Built internal ML deployment and visualization tools with Flask and Streamlit to enable non-technical stakeholders to interact with models. Applied SHAP and LIME for explainability to meet enterprise compliance. Containerized models with Docker and deployed as REST APIs for SaaS integration. Established monitoring and retraining workflows to track drift and maintain stable performance, collaborating closely with data engineers, DevOps, and product teams to align ML solutions with business goals.

Data Scientist & ML Developer at NordicSoft Technologies

October 1, 2019 - October 9, 2025

Created churn prediction and fraud detection models to enhance risk management. Designed time-series forecasting systems with Prophet, ARIMA, and R for financial trend forecasting and scenario modeling. Built interactive KPI dashboards in Tableau and SQL across fraud, credit, and customer segments. Integrated predictive models into Spring Boot APIs to provide real-time analytics within banking applications. Led feature engineering improvements, optimizing pipelines for scalability and maintainability, and collaborated with software engineers to deploy ML solutions to production using Docker and Git.

Junior Data Developer & ML Developer at Tallinn Data Systems

February 1, 2018 - October 9, 2025

Built and maintained ETL pipelines ingesting millions of POS transactions with Python and SQL, enabling reliable downstream analytics. Developed fraud detection models (logistic regression, random forests) to reduce chargebacks and losses. Automated recurring reporting workflows with SQL, Excel VBA, and Python, cutting manual effort by over 50%. Worked with supply chain analysts to integrate transactional and inventory data for near real-time dashboards and replenishment planning. Supported cloud migration to AWS S3 for data storage and faster querying, and performed data quality checks to ensure trustworthy reporting.

Senior AI/ML Engineer at Luminance

October 1, 2023 - Present

Led design and deployment of AI-driven document intelligence systems leveraging NLP, transformers, and FastAPI, automating large-scale contract analytics; built and maintained ML training, inference, and evaluation pipelines; designed comprehensive MLOps workflows using Azure ML, MLflow, and GitHub Actions; fine-tuned and deployed LLMs for summarization, classification, and Q&A; integrated OpenAI, LangChain, and Azure AI Search into microservices; engineered scalable FastAPI microservices for AI orchestration achieving sub-200 ms latency; GPU optimization and model quantization; mentored junior AI engineers; researched multi-agent AI and Generative AI solutions; partnered with DevOps to deploy Dockerized and Pulumi-managed AI infrastructure on Azure.

AI/ML Engineer at Valohai

September 30, 2023 - October 9, 2025

Designed and built end-to-end ML pipelines using TensorFlow, PyTorch, and Scikit-learn; developed CI/CD MLOps pipelines with Docker, Kubernetes, and GitHub Actions; created real-time dashboards for model drift detection and performance tracking using MLflow and Weights & Biases; implemented LLM fine-tuning strategies with LangChain and LoRA; built predictive time-series and network anomaly detection models; enhanced data preprocessing and feature engineering; developed automated CI/CD frameworks for retraining and deployment; benchmarked PyTorch Lightning vs TensorFlow pipelines; authored internal whitepapers on Generative AI and AI observability; contributed to Valohai’s open-source MLOps framework.

Backend Python & AI Engineer at Alphachat

January 31, 2020 - October 9, 2025

Built intelligent chatbot and conversational AI systems using Python, FastAPI, and NLP, automating multi-domain customer interaction pipelines; designed and maintained RESTful APIs to integrate AI microservices with client systems; developed intent classification, entity extraction, and semantic search models with Scikit-learn, spaCy, and PyTorch; deployed AI inference systems via AWS Lambda, Docker, and EC2 for low-latency and cost-efficient performance; collaborated with cross-functional teams to refine training datasets and improve conversation quality; integrated Google Dialogflow and OpenAI APIs for multilingual chatbot capability.

Python Engineer at DATAFOREST

July 31, 2018 - October 9, 2025

Engineered data automation systems and ETL pipelines using Python, Pandas, and NumPy, cutting manual processing time by 60%; developed predictive models and analytical dashboards with Scikit-learn, improving data accuracy and business forecasting reliability; built modular microservices for data aggregation and API integration; created internal analytics dashboards with Matplotlib, Plotly, and FastAPI; implemented CI/CD workflows using GitHub Actions and Docker, automating build, test, and deployment pipelines; partnered with data analysts to define reusable data schemas, improving compatibility between ML and business intelligence systems.