Resume

• —Delivered a full ML-driven call-adherence platform from the ground up, enabling automated script-compliance scoring and reducing manual QA review time by 70%+
• —Built and optimized video-processing services (sync, merge, keypoint extraction) for WebRTC recordings, increasing processing accuracy and stability in a high-volume enterprise environment requiring strict compliance, audit-ready traceability, and 100% recording integrity
• —Led the migration of a legacy desktop monolith into a microservices + micro-frontends ecosystem, improving deployment agility and reducing release cycles from monthly to weekly
• —Influenced architectural and strategic decisions, collaborating with senior leadership to shape product direction, roadmap prioritization, and long-term scalability goals

• —Designed and implemented customizable chatbots for Teams and WhatsApp, increasing user engagement and automation coverage by 40%+ across supported channels
• —Architected a data-harvesting and analytics platform for Microsoft 365 (Outlook, Calendar, Teams), enabling centralized behavioral insights and reducing manual reporting time by ~50%

• —Developed medical-workflow applications for IT&Care Netherlands, streamlining patient triage and reducing data-entry time for clinicians by 30%
• —Refactored and decomposed a large monolithic system into .NET Core 2.2 microservices, later migrating to .NET Core 3, improving system maintainability and deployment reliability
• —Boosted performance of a backend service (3 ML models, MongoDB, Node.js, Python, Kubernetes) from 60-120s → <1s per request through architectural redesign and aggressive optimization
• —Modernized a legacy Angular app into a fully responsive interface, improving mobile usability and reducing UI-related support issues
• —Set up CI/CD pipelines using TeamCity and Octopus, cutting deployment time by 40% and enabling consistent build automation

Elena-Simona Apostol, Alin-Georgian Pisică, Ciprian-Octavian Truică

Developed a face-recognition-based banking automation system using OpenCV2, Microsoft Face API, UiPath Studio, and Azure Services to enable secure account verification and transactions.

Built an AI-driven Mortal Kombat bot using Custom Vision for real-time video stream analysis, generating optimal combos and automated gameplay responses.

Created augmented reality glasses capable of identifying vehicles in real time and displaying bounding boxes along with predicted model, make, production year, and generation.

Implemented a sentiment and image analysis system using social media data to classify emotional states through automated workflows.

Developed a GDPR-compliant hospital monitoring platform featuring fall detection, face recognition, patient file management, a mobile application, and integrated database administration.

• —Developed the foundation of a B2B collaboration platform connecting clusters, companies, and domain experts

• —Mentored junior students in the Artificial Intelligence Learning Path, helping them complete projects and gain hands-on experience
• —Delivered workshops and presentations on Git, AI, and SQL, improving participants' technical skills
• —Organized a one-week remote hackathon during the COVID-19 pandemic, engaging students in collaborative problem-solving

• —Volunteered in organizing workshops, contests, and campus events, enhancing student engagement and participation
• —Designed and developed a full-stack application for a hackathon, enabling participant registration, resume uploads, and direct communication between judges, sponsors, and teams