Website: saimirbaci.github.io GitHub: saimirbaci LinkedIn: saimir-baci

Starting a venture company bringing value to teams and companies by automating the mundane and repetitive work.

Previously I have worked as team lead and engineer with over a decade of experience in computer engineering, specializing in autonomous systems, machine learning, and robotics. I have a proven track record of leading research projects from conception to completion, with a focus on developing innovative solutions for complex engineering problems.

• Research Projects Proposals
• Project management (Scrum, Agile, Kanban, Waterfall)
• Risk management in research projects
• Mentoring and talent development

• Machine Learning: Deep Learning, Data Science, Computer Vision
• Autonomous Driving: Perception, Localization, Planning
• Robotics: ROS, Embedded Systems, In-Vehicle Communication
• Networking: Ethernet, TCP/IP, CAN, LIN, FlexRay
• Cloud Computing: Azure, AWS, Google Cloud

• C/C++/CUDA, Python, C#, Java, Kotlin
• Bash/Shell, TypeScript/JavaScript, Zig

• ML/AI Libraries: Pandas, Numpy, PyTorch, Scikit-learn, TensorFlow, Transformers, Sentence Transformers
• Development Tools: Git, Docker, CMake, GDB, MSVC
• Cloud & DevOps: Docker, AWS, Google Cloud, Azure
• Database: SQLite, PostgreSQL, MS SQL

Co-Founder of Augmentifai. Building a product to help engineers solve boring problems.

Founder In Residence: Building a startup to automate boring stuff.

Tech Lead: Building AI applications using Machine Learning models and LLM to automate data analysis and reporting.

• Technologies: Python, SQL, Machine Learning, LLMs, OpenAI, NLP, Transformers, Docker

Researched and developed AI models using Large Language Models (LLMs) for various NLP tasks.

• Technologies: Python, SQL, Machine Learning, LLMs, OpenAI, NLP, Transformers, Docker

Team Lead, responsible for roadmap planning, hiring, and managing robotics projects focused on perception and localization.

• Technologies: C++, Python, Machine Learning, ROS, Docker, PostgreSQL, AWS

Led multiple projects including:

• Project KemLogistics: Logistics optimization using Operations Research.
• Project Trinity: Supply chain optimization for Flight Simulator company.
• Technologies: Python, C++, MS SQL, Azure Cloud, Machine Learning, Docker

Led advanced research projects, including:

• Project Perceptron: Deep Learning for autonomous driving.
• Project HeavyRoad: Virtual Truck platform for digital twin simulation.
• Technologies: C++, Python, Deep Learning, ROS, Docker

• SalsaNet: LiDAR Point Cloud Segmentation for Autonomous Driving – arXiv
• DNN Compression for Image Classification/Object Detection – arXiv

• IAEA Emerging Technologies Workshop (Jan 2020) – Invited as SME on Using AI for Nuclear Safety
• ICMLA Conference (Dec 2019) – Presented research on DNN compression
• Auto.AI Berlin (Sep 2018) – Panel Speaker on deep learning for autonomous software

Politecnico di Torino, Italy Bachelor of Computer Science (2008), Master of Computer Science (2011)

Chalmers University of Technology, Sweden Master Exchange Program (2009 – 2010)

• Self Driving Car Engineer Nanodegree (Udacity, 2018)
• Deep Learning Nanodegree (Udacity, 2018)
• Machine Learning (Coursera, 2016)

• Albanian: Native
• English, Italian, Swedish, Spanish: Fluent

• ISO 10681: FlexRay, ISO 14229: UDS, ISO 26262: Functional Safety

Chess, Soccer, Traveling, Reading, Swimming

For more details, check out my GitHub profile.