I am a passionate computer engineering student at the University of Waterloo, specializing in software engineering and artificial intelligence. Over the past several years, I have gained hands-on experience building scalable applications, developing AI-powered pipelines, and optimizing systems for real-time performance. I enjoy translating complex problems into elegant solutions using cutting-edge technologies such as AWS, React, and Python frameworks. Throughout my internships and projects, I've developed a strong focus on full-stack development, cloud-native architectures, and machine learning productionization. I am driven by a desire to make impactful contributions to technology that enhance user experiences and operational efficiencies.

Syed Muhammad Zafar Alam

I am a passionate computer engineering student at the University of Waterloo, specializing in software engineering and artificial intelligence. Over the past several years, I have gained hands-on experience building scalable applications, developing AI-powered pipelines, and optimizing systems for real-time performance. I enjoy translating complex problems into elegant solutions using cutting-edge technologies such as AWS, React, and Python frameworks. Throughout my internships and projects, I've developed a strong focus on full-stack development, cloud-native architectures, and machine learning productionization. I am driven by a desire to make impactful contributions to technology that enhance user experiences and operational efficiencies.

Available to hire

I am a passionate computer engineering student at the University of Waterloo, specializing in software engineering and artificial intelligence. Over the past several years, I have gained hands-on experience building scalable applications, developing AI-powered pipelines, and optimizing systems for real-time performance. I enjoy translating complex problems into elegant solutions using cutting-edge technologies such as AWS, React, and Python frameworks.

Throughout my internships and projects, I’ve developed a strong focus on full-stack development, cloud-native architectures, and machine learning productionization. I am driven by a desire to make impactful contributions to technology that enhance user experiences and operational efficiencies.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Software Engineering Intern at NiaHealth
April 1, 2025 - August 29, 2025
Engineered a GPT-powered parser to extract structured data from medical documents, cutting manual review time by 50% for clinicians. Developed a database-backed distributed task queue reducing API latency by 25% by offloading background jobs. Architected asynchronous pipelines to ingest and validate wearable device data, storing metrics in PostgreSQL which enabled sub-200ms updates for real-time health dashboards.
Software Engineering Intern at Genellipse, Inc.
August 1, 2024 - August 29, 2025
Rebuilt customer-facing site using React and TypeScript, improving SEO score from 56 to 92 and boosting traffic by 20%. Designed multi-tenant SaaS platform architecture on AWS EKS enabling isolated pods with role-based permissions and frontend integration. Optimized a CNN-autoencoder ensemble for anomaly detection, improving accuracy to 91% and F1 score to 89%. Productionized ML pipeline on AWS Lambda with IAM-secured roles for low-latency SaaS predictions.
Data Systems Developer at Canadian Food Inspection Agency
December 1, 2023 - August 29, 2025
Automated reporting workflows in proprietary database system, reducing report generation time from 24 hours to 2 hours. Developed mappings from external document structures to database relationships, improving integration time by 90%. Reorganized database tables and relationships enabling faster access and insights into related information.
Software Engineering Intern at Genellipse, Inc.
April 1, 2022 - August 29, 2025
Led development of a Python pipeline for insurance data calculations delivering results 10 times faster with dynamic inputs. Deployed REST API on AWS Lambda enabling secure and low-latency access to financial results. Implemented Terraform Infrastructure as Code and GitHub Actions CI/CD, accelerating deployments by 5 times.

Education

Bachelor of Applied Science in Computer Engineering at University of Waterloo
September 1, 2021 - April 1, 2027

Qualifications

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Industry Experience

Healthcare, Software & Internet, Government, Financial Services, Gaming