Open to opportunities

Krys Dessolis

@krysdessolis

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Machine Learning Engineer building GenAI and computer-vision systems with strong MLOps and end-to-end delivery.

Italy

Message

What I'm looking for

I’m looking for a team where I can build and deploy GenAI and computer-vision solutions end-to-end—using strong MLOps on cloud—while owning model development, validation, and production delivery with continuous improvement.

I’m a Machine Learning Engineer (4+ years) focused on turning data and models into production-ready systems. I build across time series forecasting, anomaly detection, and GenAI—always pairing model quality with reliable deployment and iteration.

At Net Reply, I’ve worked on Vision Language Models and computer vision for object/pose detection, including VideoLLama3, CLIP, YOLO, and Qwen2-VL-2B-Instruct. I develop interfaces with FastAPI, Ngrok, and Gradio, and I’ve also delivered Generative AI for manufacturing with OpenAI, Qdrant, and FastAPI, including entity extraction and natural language querying.

I’ve led end-to-end anomaly detection for water network leakage identification at Sense Reply, selecting and validating algorithms (e.g., Isolation Forest), tuning with pressure/flow features, and deploying on AWS SageMaker with ECR containerization and scheduling via EventBridge. Earlier, at Data Reply and Retail Reply, I shipped forecasting solutions (Prophet, LightGBM) with MLOps practices in Databricks/MLflow and AWS deployment (SageMaker, Glue, Step Functions, S3, Lambda), plus CI/CD support and dashboards with Databricks and Tableau.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

MC Engineering

Sep 2021 - Present (4 years 9 months)

Developed computer vision and vision-language solutions (object/pose detection) and generative AI applications, including entity extraction and natural-language querying. Built and deployed anomaly detection and forecasting models, including AWS SageMaker deployments and MLOps workflows with Databricks and MLflow.

Junior Data Scientist

Links Foundation

Feb 2021 - Jun 2021 (4 months)

Developed deep learning models in PyTorch for image, text, and audio, including multimodal (text-image) and audio classifiers. Performed data preprocessing, hyperparameter tuning, and model evaluation using supervised and unsupervised ML algorithms.

PyTorch Deep Learning data preprocessing Hyperparameter Tuning SVM XGBoost Random Forest K Means DBSCAN

Innovation Developer

University of Turin

Feb 2018 - Feb 2019 (1 year)

Participated in a strategic research project focused on design across Big Data, high-performance computing, virtual reality, and automotive domains.

Big Data High Performance Computing Virtual Reality Automotive System Design

Research Assistant

University of Turin

Nov 2014 - Apr 2015 (5 months)

Conducted quantitative research including surveys, data collection, data analysis, reporting, and project execution. Used SPSS and supported project delivery through autonomy and goal-oriented work.

Quantitative Research Survey Data Collection Data Analysis Reporting Project Execution SPSS

Intern

UMPC

Jan 2012 - Apr 2012 (3 months)

Supported clinical monitoring and programming unit research on care pathway efficiency, including database querying and analysis of research results. Helped translate business requirements into technical solutions and collaborated with technical and business stakeholders.

Clinical Monitoring Database Queries Data Analysis Care Pathways

Education

Degrees, certifications, and relevant coursework

University of Guglielmo Marconi

Prerequisite coursework for Master's Degree in Computer Engineering, Computer Engineering

2026 -

Prerequisite coursework for admission to the Master's Degree in Computer Engineering (60 ECTS), currently in progress.

ENGIM Artigianelli

IFTS – Database Design and Management, Database Design and Management

2020 - 2021

Database Design and Management program covering Python for data work, data mining and visualization, and big data with PySpark. Includes relational and non-relational database design and management using SQL and MongoDB.

University of Turin

Master’s Degree in Science of Mind, Social Psychology, Neuropsychology, Artificial Intelligence, Data Analysis

2012 - 2015

Master’s degree in Science of Mind focused on social psychology, neuropsychology, artificial intelligence, and data analysis. Includes an experimental thesis with statistical analysis on real-world datasets.