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Muntazir F. Cloud, DevOps and AI Platforms

My name is Muntazir F. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Kubernetes, Microservice, CI/CD, Software Architecture & Design, etc.. I hold a degree in Master of Engineering (MEng), Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: RedHat Certified Specialist in Containers & Kubernetes, Clarpse - polyglot code analysis tool, Production Ready LLM Inferencing on Kubernetes, Modern MLOps template for machine learning projects, Masters Thesis: "Towards Automating Code Reviews", etc.. I am based in Toronto, Canada. I've successfully completed 8 projects while developing at Softaims.

I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.

My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.

Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.

Main technologies

  • Cloud, DevOps and AI Platforms

    6 years

  • Python

    1 Year

  • Kubernetes

    3 Years

  • Microservice

    1 Year

Additional skills

  • Python
  • Kubernetes
  • Microservice
  • CI/CD
  • Software Architecture & Design
  • Infrastructure as Code
  • Terraform
  • API Development
  • DevOps
  • CI/CD Platform
  • MLOps
  • ML Automation
  • Machine Learning
  • Graph Neural Network
  • Large Language Model
  • LLM

Direct hire

Potentially possible

Previous Company

HADII Technology

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Experience Highlights

RedHat Certified Specialist in Containers & Kubernetes

RedHat Certified Specialist in Containers & Kubernetes

Clarpse - polyglot code analysis tool

Clarpse facilitates the development of tools that operate over the higher level, architectural details of source code, which are exposed via an easy to use, object oriented API.

Production Ready LLM Inferencing on Kubernetes

Deploys OpenAPI compatible API server based on the DeepSeek-R1 model for production capable inferencing workloads via vLLM on a DigitalOcean Kubernetes cluster deployed with NVIDIA H100 GPUs.

Modern MLOps template for machine learning projects

This project demonstrates a multi-stage ML pipeline (data-fetch, preprocessing, training, and model-serving) that incorporates modern cloud-native technologies tested on Digital Ocean

Masters Thesis: "Towards Automating Code Reviews"

My Master's Thesis on code review automation trained language models and probabilistic models over graph embeddings of source code to find "unnatural" code and perform human-like code inspections.

Education

  • McMaster University

    Master of Engineering (MEng) in Software Engineering

    2016-01-01-2019-01-01

  • McMaster University

    Bachelor of Engineering (BEng) in Software Engineering

    2011-01-01-2016-01-01

Languages

  • Arabic (Fluent)
  • English (Native or Bilingual)
  • Gujarati (Basic)
  • Hindi (Basic)
  • Urdu (Basic)