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Machine Learning Engineer
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Agile Lab
Data Scientist
June 29, 2026 – Present
wedding-guest-upload
January 25, 2026 – Present
Wedding photo-sharing web app for guests to upload and browse photos and videos at the venue. Guests log in by name only, upload publicly or privately to the couple. Admin dashboard with full gallery access, user management, and private folder browsing.
View Projectc-from-basics-to-advanced
January 5, 2026 – Present
Personal notes and code exercises from Salvatore Sanfilippo's C programming course. Covers memory, pointers, data structures, file I/O, and interpreter design.
View Projectcurriculum-en-ats
September 28, 2025 – Present
English CV template optimized for automated screening systems.
View Projectproduct-categorization-engine
June 29, 2025 – July 6, 2025
A transformer-based text classification system for product categorization using fine-tuned BERT/DistilBERT/RoBERTa models. Implements multi-class prediction with PyTorch backend, FastAPI endpoints, Docker containerization, ensuring scalable, reliable, and maintainable deployment in real-world e-commerce applications.
View Projectoop-design-patterns-handbook
March 23, 2025 – Present
A comparative guide showcasing Python and Java implementations of common OOP design patterns, including creational, structural, behavioral, and Python-specific patterns, with practical examples and explanations.
View Projectcustomers-dissatisfaction-analysis
March 22, 2025 – March 22, 2025
A data-driven approach to understand and predict customer dissatisfaction through data processing, exploratory analysis, predictive modeling, rigorous evaluation, and actionable visualization.
View Projectdocument-claim-mapping
March 17, 2025 – March 19, 2025
A tool using LLMs and few-shot learning for document-claim mapping and evaluation. It extracts, ranks, and assesses relevant text from documents supporting or refuting claims. Ideal for fact-checking, legal, and financial analysis, it combines prompt-based NLP with customizable ranking and evaluation modules for accurate, context-aware retrieval.
View Projectcurriculum-en
December 4, 2024 – Present
A personal yet easily personalizable CV built with LaTeX using the moderncv style—featuring custom theming, layout enhancements, and reusable commands.
View Projectsynthetic-email-generation-and-classification
September 28, 2024 – September 29, 2024
Building and evaluating a machine learning pipeline for email classification utilizing synthetic data generated by a GPT-based email generator with Few-Shot Learning.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal development and exploration across various technical domains, from data science to web development and low-level programming. This indicates a curious and versatile individual. The current role as a Data Scientist at Agile Lab aligns well with the target role. However, the projects are predominantly personal, which, while demonstrating initiative, doesn't provide insight into collaborative work environments or contributions to larger team projects. This could be a point for further exploration regarding cultural fit in a team-oriented setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of taking on complex technical challenges independently. The variety of personal projects suggests a strong learning aptitude and problem-solving orientation. However, without specific psychometric or English test results, a detailed assessment of communication, teamwork, and stress handling is not possible.