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I am an AI/ML engineer with 10+ years of experience in deep learning, computer vision, NLP, and medical imaging. I design, train, and deploy end-to-end AI systems—from data preprocessing to LLM integration, RAG pipelines, and real-time inference—delivering practical, scalable solutions. I thrive in cross-disciplinary teams, mentor engineers, and lead initiatives around MLOps, model governance, and responsible AI. I enjoy turning challenging data problems into real-world impact while maintaining ethics, reliability, and explainability.…I am an AI/ML engineer with 10+ years of experience in deep learning, computer vision, NLP, and medical imaging. I design, train, and deploy end-to-end AI systems—from data preprocessing to LLM integration, RAG pipelines, and real-time inference—delivering practical, scalable solutions. I thrive in cross-disciplinary teams, mentor engineers, and lead initiatives around MLOps, model governance, and responsible AI. I enjoy turning challenging data problems into real-world impact while maintaining ethics, reliability, and explainability.

Georgi Suikanen

Data Scientist, AI Engineer, AI Developer, +2

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I am an AI/ML engineer with 10+ years of experience in deep learning, computer vision, NLP, and medical imaging. I design, train, and deploy end-to-end AI systems—from data preprocessing to LLM integration, RAG pipelines, and real-time inference—delivering practical, scalable solutions. I thrive in cross-disciplinary teams, mentor engineers, and lead initiatives around MLOps, model governance, and responsible AI. I enjoy turning challenging data problems into real-world impact while maintaining ethics, reliability, and explainability.…I am an AI/ML engineer with 10+ years of experience in deep learning, computer vision, NLP, and medical imaging. I design, train, and deploy end-to-end AI systems—from data preprocessing to LLM integration, RAG pipelines, and real-time inference—delivering practical, scalable solutions. I thrive in cross-disciplinary teams, mentor engineers, and lead initiatives around MLOps, model governance, and responsible AI. I enjoy turning challenging data problems into real-world impact while maintaining ethics, reliability, and explainability.

Available to hire

I am an AI/ML engineer with 10+ years of experience in deep learning, computer vision, NLP, and medical imaging. I design, train, and deploy end-to-end AI systems—from data preprocessing to LLM integration, RAG pipelines, and real-time inference—delivering practical, scalable solutions.

I thrive in cross-disciplinary teams, mentor engineers, and lead initiatives around MLOps, model governance, and responsible AI. I enjoy turning challenging data problems into real-world impact while maintaining ethics, reliability, and explainability.

Skills

Experience Level

Expert

Expert

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Expert

Work Experience

Senior AI/ML Engineer at Violet AI

July 1, 2023 - Present

Architected Retrieval-Augmented Generation (RAG) systems with LangChain, Pinecone, and GPT-4; designed Transformer-augmented U-Net++ models for medical image segmentation in PyTorch Lightning; built modular FastAPI services to serve LLM inference endpoints for diagnostics and assistant features; deployed pipelines to GCP Kubernetes clusters with Docker and GitHub Actions CI/CD; implemented Airflow workflows for automatic retraining, evaluation, and versioning with DVC and MLflow; created dashboards to track prediction confidence and latency; led internal workshops on LLMOps and prompt routing; mentored four engineers.

Senior Python/AI/ML Engineer at Slimmer AI

June 1, 2023 - September 30, 2025

Designed multilingual NLP systems using BERT, LSTM, and ResNet embeddings for context-aware auto-replies; deployed as scalable FastAPI services; piloted RAG experiments with LangChain and GPT-3.5; built modular PyTorch training pipelines logged with MLflow and versioned with DVC; managed personalization workflows via embeddings and model outputs in Snowflake; developed visual analytics to monitor token drift and model health; implemented active learning loops to reduce annotation costs by 30%; conducted explainability sessions for regulatory review.

Data Scientist at DigiVikings

December 1, 2021 - September 30, 2025

Built fraud detection and facial recognition models using Siamese Networks, CatBoost, and XGBoost on large-scale video streams; supported by Airflow pipelines with SQL, Pandas, and OpenCV; delivered anomaly visualization dashboards in Power BI and Plotly; engineered ensemble services with nightly retraining and MLflow evaluation deployed via Docker; improved CNN accuracy by 11% through feature engineering; performed bias analysis to guide ethical deployment and ensured privacy compliance.

Machine Learning Engineer (AI Focus) at Mooncascade

June 1, 2018 - September 30, 2025

Developed real-time vehicle detection pipelines using YOLOv1/v2; designed U-Net models for semantic segmentation of satellite imagery; migrated legacy TensorFlow models to PyTorch; applied transfer learning to ResNet for low-light classification; researched pruning and quantization to reduce inference latency on edge devices; packaged models for deployment and created reproducible training tooling; upskilled internal teams through training sessions; collaborated on demographic bias evaluation.