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Achievements

Achievement: Pull SharkAchievement: Starstruck

Achievements

Achievement: Pull SharkAchievement: Starstruck

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Saimirbaci/README.md

Saimir BACI

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

👋 Introduction

Accomplished 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.

🛠 Skills & Expertise

Managerial Skills

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

Technical Skills

  • 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

Programming Languages

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

Tools, Technologies & Frameworks

  • 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

💼 Work Experience

Yeji Datalab (August 2024 – Present)

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

Research On LLMs (Nov 2023 – August 2024)

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

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

Avidbots (Nov 2021 – Nov 2023)

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

Ivado Labs (Sep 2019 – Nov 2021)

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

Volvo Group Advanced Technology & Research (Jan 2011 – Sep 2019)

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

📚 Publications

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

🎤 Conferences

  • 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

🎓 Education

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

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

🎓 Certifications

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

🌐 Languages

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

🛡 Practiced ISO Standards

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

🌟 Hobbies

Chess, Soccer, Traveling, Reading, Swimming

For more details, check out my GitHub profile.

Pinned Loading

  1. AutoGPT AutoGPT Public

    Forked from Significant-Gravitas/AutoGPT

    AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

    JavaScript

  2. llama.cpp llama.cpp Public

    Forked from ggerganov/llama.cpp

    LLM inference in C/C++

    C++

  3. llm.c llm.c Public

    Forked from karpathy/llm.c

    LLM training in simple, raw C/CUDA

    Cuda

  4. llm.zig llm.zig Public

    Zig 31 4

  5. ScoreTable ScoreTable Public

    Java

  6. SWE-agent SWE-agent Public

    Forked from princeton-nlp/SWE-agent

    SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.

    Python