tudorjnu

{
  "basics": {
    "name": "Tudor Jianu",
    "label": "AI & Autonomous Systems Engineer",
    "phone": "+447356033434",
    "email": "mail@tudorj.com",
    "url": "https://tudorjnu.github.io",
    "summary": "AI & Autonomous Systems Engineer specialising in scalable backend architecture, MLOps infrastructure, and applied machine learning systems. Experienced in designing secure, production-grade platforms across HealthTech, CivicTech, robotics, and scientific computing domains. Proven track record of translating complex domain challenges into validated technical solutions through cloud-native deployment, model versioning, automation pipelines, and robust data architectures. Strong background in Python, Go, PostgreSQL, and modern web frameworks, with hands-on experience delivering end-to-end systems in multi-stakeholder and publicly funded innovation environments.",
    "location": {
      "city": "Liverpool",

tudorjnu

# Compositor
sudo pacman -S picom

# Display Manager
sudo pacman -S ly

# Window Manager and Dependencies
sudo pacman -S qtile python-psutil

# Notification Server

tudorjnu

#### MATPLOTLIBRC FORMAT

## NOTE FOR END USERS: DO NOT EDIT THIS FILE!
##
## This is a sample Matplotlib configuration file - you can find a copy
## of it on your system in site-packages/matplotlib/mpl-data/matplotlibrc
## (relative to your Python installation location).
## DO NOT EDIT IT!
##
## If you wish to change your default style, copy this file to one of the

tudorjnu

set -xe

# remove any copies
rm -f testVHACD
# grab the VHACD (convex segmenter) binary
wget https://github.com/mikedh/v-hacd-1/raw/master/bin/linux/testVHACD
# check the hash of the downloaded file
echo "e1e79b2c1b274a39950ffc48807ecb0c81a2192e7d0993c686da90bd33985130  testVHACD" | sha256sum --check
# make it executable
chmod +x testVHACD

tudorjnu

def parse_tensorboard_log(path: Path):
    from tensorboard.backend.event_processing.event_accumulator import EventAccumulator
    import pandas as pd

    tag = 'rollout/ep_len_mean'
    acc = EventAccumulator(path)
    acc.Reload()
    # check if the tag exists

    if tag not in acc.Tags()['scalars']:

tudorjnu

import trimesh
from lxml import etree
import sys
import os
import shutil
import argparse
from trimesh.decomposition import convex_decomposition


_VHACD_EXECUTABLE = shutil.which('testVHACD')