Hello! I'm
Denis-Angel Moldovan
AI Engineer
I'm a passionate software developer driven to digitize and automate the world bit by bit using the expertise I've gained along the way. Currently pursuing a Master's in Artificial Intelligence, I'm deeply focused on Deep Learning and its potential to shape the future.
Terminal
$ python train.py
[Training Started]
Epoch 1/10: 100% | Loss: 0.1234 | Accuracy: 95.67%
Epoch 2/10: 100% | Loss: 0.0987 | Accuracy: 96.45%
Epoch 3/10: 100% | Loss: 0.0765 | Accuracy: 97.12%
Epoch 4/10: 100% | Loss: 0.0654 | Accuracy: 97.78%
Epoch 5/10: 100% | Loss: 0.0543 | Accuracy: 98.23%
Epoch 6/10: 100% | Loss: 0.0456 | Accuracy: 98.87%
[ALERT] Creativity threshold exceeded!
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About Me
AI/ML Engineer and Full Stack Developer with a strong technical background rooted in a focused education in computer science, maths and AI.
I specialize in building intelligent full-stack systems that integrate artificial intelligence seamlessly into real-life workflows helping teams automate smarter, scale faster, and innovate with confidence. I believe technology should be both powerful and purposeful (and fun :D).
I'd like my work to outline the constant drive to explore how AI can enhance our digital lives and create positive change. Outside the keyboard, I find inspiration in nature and travelling. Moreover I stay grounded through sports; I find them as a way to fuel my creativity and improve my overall mindset.
Education
Master of Science in Artificial Intelligence
Babes-Bolyai University
AVG
Bachelor of Science in Computer Science
Babes-Bolyai University
AVG
Personal Projects
This section showcases some of my technical projects ranging from AI/DL to full-stack development. These projects represent creative solutions that demonstrate my passion for building solutions.
Experience
The following timeline showcases the real-world projects I’ve been involved in, along with the positions I held within them.
AI Associate Engineer
Avalere Health
- Implemented a copilot that would allow medical employees to use AI to extract reports from HTA (Health Technology Assessment) documents about various medication using the power of NLPs achieving human-in-the-loop behaviour with citations on a Pdf Viewer integrated in the UI.
- Leveraged Semantic Kernel to develop an orchestration layer that integrates multiple large language model agents (LLMs), enabling internal employees to access advanced agentic features such as image uploads, task-specific chat flows (e.g. Meeting summary), ensuring robust data privacy. Delivered a seamless and modern user experience through a Blazor-based frontend.
- Developed a microservice to intelligently extract and chunk PDF content including paragraphs, images, and tables mimicking human reading patterns for improved semantic segmentation. Integrated Tesseract OCR for accurate image extraction and provided table outputs in both HTML and Markdown formats. This custom-built solution replicated core features of Adobe's enterprise PDF processing service, resulting in substantial cost savings by avoiding licensing fees.
- Worked on PDF parsing microservice deployment infrastructure using Terraform on Azure
AI Engineer
xyxle ag
- Developed a refined script that would extract product information from xlsx and PDF files, chunk/separate it into different objects that have multiple attributes and store them into a MongoDB database.
- Designed and implemented a Retrieval-Augmented Generation (RAG) backend service for a Swiss product information management system using Nest.js. Integrated OpenAI's API via LangChain and utilized existing product data obtained using the implemented script by indexing it into a Pinecone vector database. The system functioned as an intelligent chatbot, engaging users through dynamic questioning to accurately identify their intended product.
Software Developer
University of Pennsylvania
- Worked on integration and maintenance of .NET framework with the Zoom platform on the official E-Learning website of the University of Pennsylvania allowing students to attend classes more efficiently and teachers to keep track of logistics including attendance, join time, exit time for each individual, as well as the possibility of generating timely reports.
- Worked with Jenkins on deploying on different environments to ensure the quality of the delivered product.
Software Developer Intern
BitStone
- Built a full stack shop platform using React for frontend and Node.js for backend
- Emerged in the teamwork cycle that includes version control, code review and deployment of the project
Technical Skills
This section outlines the skills I’ve developed throughout my journey as a full stack AI and software engineer.
AI & Machine Learning
Frameworks
Cloud Architecture
Programming
Contact me
If you wish to contact me, please do so via one of the links down below.
