Software Engineering student at the Faculty of Automatic Control and Computers,
University Politehnica of Bucharest (UPB ACS)
I am a creative, hard-working, organised and detail-oriented Software Engineering student with strong programming skills in C, C++, Racket, Haskell, Java, MATLAB and x86 Assembly (both 32-bit and 64-bit). I am fluent in English and German, hold international certifications, and have a deep, ongoing interest in Artificial Intelligence.
My academic interests include:
Software Engineering · Computer Architecture · Embedded Systems · Algorithms and Data Structures · Artificial Intelligence · Database Systems · Computer Graphics · System Reliability
I actively consolidate knowledge from lectures, laboratories, technical documentation, books and self-created study materials — transforming information from multiple sources into structured understanding and practical solutions.
Beyond the core programming languages, my expertise bridges the gap between high-level abstraction and hardware-level precision. Whether I am optimizing x86 Assembly, architecting complex systems in C/C++, working with SQL, NoSQL and MySQL, or training neural networks using PyTorch, I approach code as a tool for solving real-world engineering puzzles.
Proficient in Embedded Systems (ARM, FPGA, VHDL) and Operating Systems, with a solid grasp of Real-Time Security and Computational Fluid Dynamics.
Actively developing in Machine Learning and Genetic Algorithms, leveraging Python, CUDA and Jupyter to build the next generation of smart software.
Certified-level knowledge in CCNA Security and Cisco Routing/Switching, ensuring that every application I build is scalable and network-aware.
I blend the rigors of Functional Programming (Haskell, Racket) with the visual creativity of OpenGL and Game Development (Fusion 360, Pygame).
I do not just write code — I refactor reality. My background in Automatic Control has trained me to see patterns where others see chaos. From Mathematical Problem Solving to Parallel Computing, I thrive in environments that demand both analytical depth and rapid adaptation.
"The best way to predict the future is to program it."
"The best solutions are often found where intuition and unconventional thinking meet."
Currently seeking challenges that push the boundaries of Artificial Intelligence and Embedded Software Engineering.
Languages
AI / ML
Systems & Hardware
Graphics & Game Dev
Networking & Tooling
A selection of recent work. Full list at github.com/AndreiValeanu22?tab=repositories.
- DL-SkinLesion-FaceEmotion-Classification — End-to-end PyTorch image classification on two imbalanced datasets (skin lesions + face emotions). MLP, CNN, ResNet-18, MobileNet-V2 and EfficientNet-B0 with RandAugment, WeightedRandomSampler, per-dataset TTA and F1-weighted ensemble.
- ML-OUALD-Classification-Regression — Classification + regression on the Open University Learning Analytics Dataset. CatBoost / XGBoost blend, multi-seed ensembling, OOF stacking. Kaggle bonus: rank 24.
- Artificial-Inteligence_CTI_Laboratories — Lab work for the AI course (CTI).
- CUDA-labs — 8 ASC labs on HPC, CPU microarchitecture, cache optimization, CUDA (tiled matmul, atomics, dynamic parallelism, GPU sort, Gaussian blur). Benchmarked on UPB HPC (NVIDIA A100/P100).
- ProiectTSC_2026 — InkTime: BLE e-paper wearable. Full hardware design in Autodesk Fusion Electronics (schematic + 4-layer PCB + manufacturing package) around an nRF52840.
- SISTEM-INTELIGENT-DE-MONITORIZARE-...-CAMERA-TEHNICA — Arduino Uno smart monitoring system with 7 sensors, priority-based state machine, RTC-timestamped CSV logging.
- Computer-Graphics-UPB — All EGC assignments: 2D OpenGL Arcade Launcher (Tema 1), 3D Train & Terrain Simulation (Tema 2), Firefly Forest with shaders (Tema 3).
- APD-Projects — Java thread-pool news article database (Tema 1) and distributed CHORD DHT in C + MPI (Tema 2).
- Ethernet Switch (MAC learning, custom 802.1Q VLANs, Poli STP) and Dataplane IPv4 Router (LPM, ARP, ICMP) — RL labs, 70/100 and 100/100 respectively.
- awesome-sql-databases — SQL database labs (2026).
- Kaggle Energy Trading Hackathon 2025 — team competition, 12th place overall. Applied ML, data analysis and predictive modeling.
- Kaggle bonus — IA Tema 1 (OUALD), 2026 — rank 24 on the public leaderboard (classification + regression).
Continuous Learning · Knowledge Synthesis · Research-Oriented Mindset · Analytical Thinking · Eye for Detail · Strong Problem-Solving · Team Collaboration · Effective Communication · Time Management · Debugging · System Design · Adaptability · Technical Curiosity
| Language | Level |
|---|---|
| Romanian | Native |
| English | Fluent (C1) |
| German | Intermediate (B2) |
- IC3 Digital Literacy Certification — June 2021
- CCNA Routing and Switching: Introduction to Networks — May 2020
- IT Essentials — June 2019
My GitHub profile is a living portfolio — it contains many of my latest projects, experiments and technical developments that may not yet be reflected in my CV. I encourage you to explore github.com/AndreiValeanu22 for the most current representation of my technical work and ongoing learning journey.
"If you're goin' hard enough left, you'll find yourself turnin' right." — Doc Hudson