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Hi, I am Areeb Akazai, a passionate software engineer with extensive experience in developing scalable backend and full-stack applications, especially in the AI and ML domains. I enjoy working with modern technologies like Node.js, Vue.js, and Apache Spark, and have a strong focus on optimizing performance and resource management. My experience spans building advanced data pipelines, ETL processes, and machine learning model deployments, with a keen eye for improving accuracy and reducing costs. With a Bachelor of Science in Computer Science from the University of Ottawa, I have been fortunate to contribute to key projects at organizations like FINTRAC and Ross Video, where I prototyped solutions for high-volume data processing and integrated cutting-edge ML workflows. I'm passionate about leveraging AI and cloud technologies to create impactful solutions and eager to continue growing as an AI and software development professional.…Hi, I am Areeb Akazai, a passionate software engineer with extensive experience in developing scalable backend and full-stack applications, especially in the AI and ML domains. I enjoy working with modern technologies like Node.js, Vue.js, and Apache Spark, and have a strong focus on optimizing performance and resource management. My experience spans building advanced data pipelines, ETL processes, and machine learning model deployments, with a keen eye for improving accuracy and reducing costs. With a Bachelor of Science in Computer Science from the University of Ottawa, I have been fortunate to contribute to key projects at organizations like FINTRAC and Ross Video, where I prototyped solutions for high-volume data processing and integrated cutting-edge ML workflows. I'm passionate about leveraging AI and cloud technologies to create impactful solutions and eager to continue growing as an AI and software development professional.

Areeb Akazai

AI Engineer, Full Stack Developer, Back-End Developer, +1

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Hi, I am Areeb Akazai, a passionate software engineer with extensive experience in developing scalable backend and full-stack applications, especially in the AI and ML domains. I enjoy working with modern technologies like Node.js, Vue.js, and Apache Spark, and have a strong focus on optimizing performance and resource management. My experience spans building advanced data pipelines, ETL processes, and machine learning model deployments, with a keen eye for improving accuracy and reducing costs. With a Bachelor of Science in Computer Science from the University of Ottawa, I have been fortunate to contribute to key projects at organizations like FINTRAC and Ross Video, where I prototyped solutions for high-volume data processing and integrated cutting-edge ML workflows. I'm passionate about leveraging AI and cloud technologies to create impactful solutions and eager to continue growing as an AI and software development professional.…Hi, I am Areeb Akazai, a passionate software engineer with extensive experience in developing scalable backend and full-stack applications, especially in the AI and ML domains. I enjoy working with modern technologies like Node.js, Vue.js, and Apache Spark, and have a strong focus on optimizing performance and resource management. My experience spans building advanced data pipelines, ETL processes, and machine learning model deployments, with a keen eye for improving accuracy and reducing costs. With a Bachelor of Science in Computer Science from the University of Ottawa, I have been fortunate to contribute to key projects at organizations like FINTRAC and Ross Video, where I prototyped solutions for high-volume data processing and integrated cutting-edge ML workflows. I'm passionate about leveraging AI and cloud technologies to create impactful solutions and eager to continue growing as an AI and software development professional.

Available to hire

Hi, I am Areeb Akazai, a passionate software engineer with extensive experience in developing scalable backend and full-stack applications, especially in the AI and ML domains. I enjoy working with modern technologies like Node.js, Vue.js, and Apache Spark, and have a strong focus on optimizing performance and resource management. My experience spans building advanced data pipelines, ETL processes, and machine learning model deployments, with a keen eye for improving accuracy and reducing costs.

With a Bachelor of Science in Computer Science from the University of Ottawa, I have been fortunate to contribute to key projects at organizations like FINTRAC and Ross Video, where I prototyped solutions for high-volume data processing and integrated cutting-edge ML workflows. I’m passionate about leveraging AI and cloud technologies to create impactful solutions and eager to continue growing as an AI and software development professional.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Bash

Intermediate

Hadoop

Intermediate

Work Experience

Software Engineer at FINTRAC

May 1, 2024 - Present

Developed a full-stack application using Node.js, Vue.js, and SQL Server to handle 500 API calls daily on a database with over 200 million records. Designed a hash-map reference indexing solution in TypeScript that compressed large JSON payloads, significantly reducing client memory usage and load times, and avoiding hosting costs. Configured an Azure Data Factory and Apache NiFi pipeline to optimize memory management for 100 million+ large records, including authoring JSON schemas for quality assurance validation. Prototyped ETL pipelines with Apache Spark and HDFS to replace legacy scripts, enabling horizontally scalable high-volume data processing.

AI/ML Software Engineer at FINTRAC

December 1, 2024 - August 20, 2025

Enhanced precision of a custom ML-based language model from 35% to 95% by fine-tuning with progressive upsampling to address class imbalance bias. Applied GPU optimizations to reduce training time by a factor of five and VRAM usage by 70%, saving $5K monthly without accuracy loss. Led integration of ML workflows using Azure ML, PyTorch, MLflow, NumPy, and Transformers frameworks. Detected evaluation bias and incorporated custom macro-averaging methods to highlight underperforming classes, guiding targeted refinements of the model.

AI/ML Software Engineer at Ross Video

May 1, 2024 - August 20, 2025

Led production deployment of a Retrieval-Augmented Generation (RAG) pipeline in GoLang with ChromaDB, enabling improved querying of internal documents via a large language model. Integrated a speech-to-text ML model into an internal product, containerizing it with Docker for dependency-free organizational deployment. Configured and deployed a local Mixtral-8×7B LLM server optimized for GPU/CPU resources, supporting high-concurrency internal usage.

Software Engineer at FINTRAC

December 1, 2023 - August 20, 2025

Developed a Node.js service with MongoDB to generate 700 GB of synthetic data, optimizing the pipeline to speed up generation and eliminate memory leaks. Created aggregation pipelines in Python using Pandas and PyMongo to query over 70 million MongoDB records, making data querying accessible to non-technical teams. Added noise features such as encryption, randomization, and string manipulation to simulate real-world data variability.