Kevin AounMechatronics Engineer
Skills
Technology | Softwares | Frameworks

Python | Pytorch | CUDA | C++ | LangGraph | RAG | Docker | Neo4j | NVIDIA TensorRT | NVIDIA Triton | Azure | GCP | Ollama

Professional Experience
AI Engineer, inmind.ai
06/2025 – Present | Remote
  • •Helped clients right-size their AI infrastructure using NVIDIA tools, balancing performance needs against cost, often cutting projected hosting spend significantly
  • •Built cost models for complex AI deployments, giving leadership clear numbers to make decisions
  • •Rapidly prototyped PoCs and later deployed them to production across Azure, AWS, and GCP
  • •Built MLOps pipelines for model versioning and monitoring, with focus on rigorous evaluation of ML and agentic systems
  • •Fine-tuned language models in-house rather than relying on external services, reducing per-query costs while maintaining accuracy for client-specific use cases
    • Research Assistant, Lebanese American University & BMW Group
    01/2025 – Present
  • •In collaboration with BMW Quantum Engineers and Physicists
    • DL & Automation Engineer, BMW Group, Internship
    08/2024 – 12/2024 | Munich, Germany
  • •Solved a long-standing data challenge by building a local LLM pipeline that processes 25k+ daily queries for data analysis, collaborated with Google and BMW stakeholders, now a flagship project
  • •Reduced latency by 85% and costs by 25% by optimizing the local runtime
  • •Presented the strategic approach and secured client approval for project expansion
    • Education

    BE, Mechatronics, Robotics and Automation Engineering

    Lebanese American University
    09/2021 – 06/2026 | Byblos, Lebanon
  • •CGPA: 3.85 | Graduated with High Distinction and Honors | Dean's Distinguished List of the School of Engineering
  • •Varsity Swimming
    • Personal Projects
    HELIN, Humanity's Last Interface
    09/2025 – Present
  • •Building a brain-computer interface (BCI) for real-time motor imagery classification, epilepsy detection, and gaming
  • •Curated high-quality datasets in collaboration with RIT Dubai, project featured on LAU website⁠
    • GSE27, Graph Semantics Engine
  • •Turns your unstructured data (PDFs, URLs, YouTube..) into a structured graph for efficient retrieval
  • •Built on top of Neo4j and PGVector, using ETL pipelines like Unstructured, Firecrawl, LlamaIndex (LlamaCloud)
    • EXTRA CURRICULAR
    President, Google Developer Students Club
    08/2022 – 08/2024
  • •Hosted tech talks and speaker keynotes with engineers from Google
  • •Developed 5+ engaging workshop material delivered to 85+ university students
    • Awards
    Varsity's High Academic Athletic Achiever (AAA), LAU Athletics
    01/12/2023

    Issued to individuals with exceptional varsity season performance and top 3 academic standing

    1st place, Google Solution Challenge MENA Region, Google MENA
    01/12/2021

    Team project Khedne Maak ranked 1st among 120+ teams by Google experts in the MENA region.

    Honors Scholarship and Athletic Scholarship Recipient, LAU
    01/12/2020
    Certificates
    Languages
    Arabic

    C1

    English

    C1

    French

    C1

    German

    B1