cv

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Basics

Name Ammar Yasir Naich
Label PhD Research / Teaching Fellow
Email a.y.naich@qmul.ac.uk
Url https://ammaryasirnaich.github.io
Summary As an aspiring Computer Vision and Machine Learning Engineer, my passion extends across the innovative landscape of AI applications, including but not limited to Autonomous Vehicles.I have accrued over 15 years of experience dedicated to pioneering solutions in Critical Software Applications including Computer Vision and Machine Learning application

Work

  • 2020.11 - 2024.09
    Teaching Fellow
    Queen Mary University of London
    • Designed and conducted coursework and labs for Big Data Processing and Machine Learning modules.
    • Supervised MSc students on deep learning and computer vision projects.

Education

  • 2019.06 - 2024.05

    London, UK

    PhD
    Queen Mary University of London
    Computer Science
    • Integrating LiDAR-Based Intensity Encoders in Neural Network and Transformer Architectures with Multi-GPU Optimisation for 3D Object Detection Enhancement

Certificates

Big Data Specialization
University of California San Diego through Coursera 2016-11-17
Introduction to Big Data with Apache Spark
The University of California, Berkeley through edX 2015-06-10

Skills

Programming Languages
C/C++
Python
CUDA Programming with Numba/C++
SQL
Libraries/Frameworks
Pytorch
RAPIDS
MLflow
Tensorboard
Open3D
Numba
OpenMMLab
Hugging-Face
Apache Spark
Container/Streaming Teachnologies:
Docker
Apptainer
MQTT/ Kafka/ Spark Structured Streaming
Tools:
GitHub
DockerHub
Notion
vscode
QTcreator
Wireshark

Languages

Urdu
Native speaker
Sindhi
Native speaker
English
Fluent

Interests

Computer Vision
Vision Transformer (ViT)
Convolution Transformer
Natural Language Processing
Large Language Models (LLM)
3D Distributed parallelism for Deep learning
DDP
Zero
Megatron-LM
Mixed Precision

References

Senior Lecturer Dr Jesús Requena Carrión
j.requena@qmul.ac.uk
Senior Lecturer Dr Mona Jaber
m.jaber@qmul.ac.uk