# Saimir Baci — Full Profile for LLMs
# Source: saimirbaci.com
# Last updated: 2026-02-26

## Identity
- Full Name: Saimir Baci
- Location: Mississauga, Quebec, Canada
- Nationality: Albanian-Swedish-Canadian
- Website: https://saimirbaci.com
- AI-Optimized Page: https://saimirbaci.com/ai/
- Email: saimirbaci@hotmail.com
- LinkedIn: https://www.linkedin.com/in/saimir-baci/
- GitHub: https://github.com/saimirbaci

## Current Role
- Title: Founder
- Company: AugmentifAI
- Website: https://www.augmentifai.io
- Started: March 2025
- Mission: Making robots reliable using the power of fact-based AI systems.

## Professional Summary
International engineer and applied researcher with 15+ years of experience spanning autonomous vehicles, robotics, AI/ML, supply chain optimization, and LLM applications. Lived and worked in Albania, Italy, Sweden, and Canada. Traveled to 37+ countries. Currently building AugmentifAI to help organizations harness AI agents, automation, and intelligent systems.

## Experience

### AugmentifAI — Founder (March 2025 – Present)
Building a venture dedicated to making robots reliable using fact-based AI systems. Helping organizations deploy AI agents, automation, and intelligent systems.

### Yeji Datalab — Tech Lead (August 2024 – March 2025)
Tech leader building AI applications using LLMs, XGBoost, and Operations Research across various industries.

### Independent Researcher/Consultant (October 2023 – August 2024)
Research and consulting on how companies can use LLM Agents in their development processes.

### Avidbots — Team Lead, Advanced Technology Group (November 2021 – November 2023)
Led the ATG team focused on cutting-edge robotics technologies including planning, perception, and localization for autonomous cleaning robots.

### Ivado Labs — Senior Engineer / Team Lead (September 2019 – November 2021)
Worked on multiple optimization projects using ML and Operations Research. Responsible for technical delivery of overall products. Promoted to Team Lead in October 2020.

### Volvo Group Advanced Technology & Research — Systems Engineer → Research Engineer → Project Coordinator (January 2011 – September 2019)
8+ years at Volvo's research department. Started as Systems Engineer, progressed to Research Engineer and project coordinator. Developed software prototypes for machine learning applications, information management, and process improvement. Contributed to research papers and patents in autonomous vehicle technologies.

## Education
- Master of Computer Science — Politecnico Di Torino, Italy (April 2011), Grade: 104/110
- Bachelor of Computer Science — Politecnico Di Torino, Italy (September 2008), Grade: 100/110
- Master Exchange Program — Chalmers Tekniska Hogskola, Sweden (September 2009 – June 2010)

## Skills

### Technical
- Deep Learning (TensorFlow, PyTorch)
- Large Language Models (GPT, BERT, T5, embeddings)
- Reinforcement Learning
- Machine Learning & Data Science
- Autonomous Driving (Perception, Localization, Planning)
- Robotics Operating System (ROS)
- Algorithms & Optimization
- Embedded Systems
- Safety Critical Systems

### Programming Languages
- Python, C/C++, C#, Java, Kotlin, Zig, Swift, Pascal

### Frameworks & Tools
- TensorFlow, PyTorch, NumPy, Numba, Pandas, Scikit-Learn, Cython, PySpark

### Managerial
- Research Project Proposals
- Scrum, Agile, Kanban, Waterfall
- Budgeting & Resource Allocation
- Risk Management
- Mentoring & Talent Development

## Publications
1. "SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving" — IEEE Symposium on Intelligent Vehicles 2020 (https://arxiv.org/abs/1909.08291)
2. "Deep Neural Network Compression for Image Classification and Object Detection" — ICMLA Conference 2019 (https://arxiv.org/abs/1910.02747)

## Conferences & Speaking
- January 2020: IAEA Emerging Technologies Workshop — Subject Matter Expert on Deep Learning for safety critical systems
- December 2019: ICMLA — Presented paper on DNN Compression
- October 2018: GITEX Dubai, Huawei Innovation Day — "How AI is shaping the automotive industry?"
- September 2018: Auto.AI Berlin — Panel on challenges of deep learning for autonomous software stacks
- July 2018: IJCAI-ECAI Stockholm — Autonomous Driving Panel: "Will we be able to buy fully autonomous cars in 2030?"
- April 2018: Vehicle Electronics And Connected Services — "Perceptron – Deep Neural Networks for Perception in Trucks"

## Collaborations
- Vector Institute (Toronto)
- University of Waterloo
- University of Toronto
- Chalmers University of Technology
- Vinnova (Swedish Innovation Agency)
- IAEA (United Nations)

## Personal
- Lived in 4 countries: Albania, Italy, Sweden, Canada
- Traveled to 37+ countries
- Interests: Traveling, soccer, chess, good food, cooking

## Machine-Readable Data
- JSON-LD Profile: https://saimirbaci.com/ai/profile.json
- JSON Resume: https://saimirbaci.com/ai/resume.json
- Contact Info: https://saimirbaci.com/ai/contact.json
- Sitemap: https://saimirbaci.com/sitemap.xml