Comet Assay Segmentation:
● Researched and applied insights from academic publications on DNA damage to understand its mechanisms and connections with genetic instability, genotoxicity testing, cancer therapies, and the evolution of degeneration in postmitotic neurons. 
● Used Mask R-CNN to segment AP sites in PBMCs, and adopted it for real-world deployment, handling custom datasets and MLOps workflows. 
● Implemented OOP principles and managed project dependencies with Poetry. 
● Handled large-scale data for genotoxicity experiments, ensuring reproducibility and scalability using Feast, DVC, and Backblaze. 
● Ensured transparency by versioning models and experiments through MLflow and Databricks CE, allowing reproducibility and traceability of model behavior and decision-making. 
● Deployed Docker images and utilized GitLab CI/CD with pre-commit hooks for continuous integration and delivery. 
● Ensured a secure storage of secrets by using Gitlab CI/CD variables. 
● Currently experimenting with GCP Vertex AI to optimize and deploy the models in cloud environments. 

Parkinson’s Progression Prediction:
● Grouped and aggregated clinical data by patient and visit month to monitor progression over time. 
● Performed correlation analysis using heatmaps, and visualized trends and relationships in patient data. 
● Performed statistical comparisons by plotting UPDRS scores against medication status using boxplots. 
● Preprocessed data by pivoting, grouping, and merging datasets, as well as encoding categorical variables, handling missing values, and scaling data. 
● Trained an MLPRegressor and experimented with different custom neural networks to optimize the model’s performance. The parameters were then tuned with a grid search. 

Alzheimer’s Prediction:
● Explored and preprocessed the dataset, including feature scaling and feature extraction with PCA. 
● Trained an SVM model and assessed its performance with cross-validation. It was then tuned with a grid search.

Machine Learning Engineer

HubForward

●	Integral member of the frontend team, quickly adapting to React and contributing code within two weeks before transitioning to API development and software design.
●	Top contributor with over 1000 commits, demonstrating a strong commitment to project success.
●	Co-led the containerization of the application using Docker, which eventually improved performance and ease of installation by 40%.
●	Managed the deployment to DigitalOcean and led the migration to DigitalOcean Spaces which sped up file I/O by 2s.
●	Co-managed the backlog to ensure well-defined user stories, leading to a 15% increase in sprint goal achievement.
●	Participated in peer code reviews with backend and frontend teams, resulting in a 20% increase in team cohesion.
●	Implemented TDD practices using PHPUnit, leading to a significant reduction in production bugs by 35% due to early identification. 
●	Mentored an intern who became a full-time employee within 1 month.
●	Co-authored and maintained comprehensive technical and non-technical documentation, facilitating clear communication and knowledge sharing within the team and with stakeholders.
	Tackled challenges with changing application requirements by predicting future changes based on past patterns and designing a scalable architecture, reducing major updates by 20%.
●    Another challenge I faced was managing time as I was working full-time and studying at the same time. This allowed me to really improve my time management skills in order to not affect my studies, work, or my colleagues.

Software Developer

I.R Chic

*   Started building the web app from scratch till a shippable version where I learned the WAMP stack, Scrum, and Security best practices. 

*   Took the lead on Scrum adoption, refined the Product Backlog, estimated user stories, broke them down into tasks, and planned sprints. This eventually cut down development time by 50%.

*   Followed Git and GitHub best practices by creating a new branch for each user story I was going to be working on, implemented it, ran manual Unit and Integration Tests to insure its proper functioning, and then merged into the main branch. In case there was a bug, I would study its severity and effect on UX to decide when to address it. I also had the most Git commits and merge requests in the team with over 300 commits.

*   Followed OWASP's security and testing guides like PHP prepared statements, strong password policies, and anti-DDoS protection using Google Recaptcha.

*   I was also in charge of the server configuration where I configured sending emails, file uploads, and ensuring only the proper errors and warnings were enabled.

Backend Developer

Innovative software engineer passionate about leveraging machine learning to drive advancements in biotechnology, healthcare, and life sciences. With diverse experience across freelancing, startups, and self-learning, I have honed my skills in designing, implementing, and deploying scalable MLOps solutions, as well as being a self-starter and a team player. Recent projects, such as developing an end-to-end solution for DNA damage segmentation, demonstrate my ability to handle complex challenges and deliver impactful results. Adaptable and committed to continuous growth, I aim to contribute positively to society.

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