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Hello! I'm Harish Sundaralingam, an Applied AI / ML Engineer with a track record of delivering end-to-end ML and LLM-based solutions in regulated environments. I enjoy collaborating with product and engineering teams to translate complex problems into scalable, responsible AI systems that drive real impact. My work blends model development, feature engineering, MLOps, and production monitoring. I thrive on building maintainable codebases, optimizing training pipelines on HPC, and communicating results clearly to both technical and non-technical stakeholders.…Hello! I'm Harish Sundaralingam, an Applied AI / ML Engineer with a track record of delivering end-to-end ML and LLM-based solutions in regulated environments. I enjoy collaborating with product and engineering teams to translate complex problems into scalable, responsible AI systems that drive real impact. My work blends model development, feature engineering, MLOps, and production monitoring. I thrive on building maintainable codebases, optimizing training pipelines on HPC, and communicating results clearly to both technical and non-technical stakeholders.

Harish Sundaralingam

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hello! I'm Harish Sundaralingam, an Applied AI / ML Engineer with a track record of delivering end-to-end ML and LLM-based solutions in regulated environments. I enjoy collaborating with product and engineering teams to translate complex problems into scalable, responsible AI systems that drive real impact. My work blends model development, feature engineering, MLOps, and production monitoring. I thrive on building maintainable codebases, optimizing training pipelines on HPC, and communicating results clearly to both technical and non-technical stakeholders.…Hello! I'm Harish Sundaralingam, an Applied AI / ML Engineer with a track record of delivering end-to-end ML and LLM-based solutions in regulated environments. I enjoy collaborating with product and engineering teams to translate complex problems into scalable, responsible AI systems that drive real impact. My work blends model development, feature engineering, MLOps, and production monitoring. I thrive on building maintainable codebases, optimizing training pipelines on HPC, and communicating results clearly to both technical and non-technical stakeholders.

Available to hire

Hello! I’m Harish Sundaralingam, an Applied AI / ML Engineer with a track record of delivering end-to-end ML and LLM-based solutions in regulated environments. I enjoy collaborating with product and engineering teams to translate complex problems into scalable, responsible AI systems that drive real impact.

My work blends model development, feature engineering, MLOps, and production monitoring. I thrive on building maintainable codebases, optimizing training pipelines on HPC, and communicating results clearly to both technical and non-technical stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Customer Service Representative at CIBC

October 1, 2025 - Present

Operated in a regulated financial environment, supporting client-facing workflows with strict compliance, confidentiality, and data accuracy requirements. Collaborated with internal teams to resolve complex issues, bridging technical and non-technical stakeholders. Gained domain exposure to banking operations, risk awareness, and enterprise systems relevant to financial services ML use cases.

Applied ML Engineer / Research Associate at VIDL Lab, Lakehead University

June 1, 2023 - May 1, 2025

Designed, built, and owned end-to-end ML pipelines using PyTorch for object detection and semantic segmentation, processing 1M+ images across distributed HPC (Compute Canada). Implemented scalable training architectures with SLURM, multi-GPU parallelism, and optimized data loaders, achieving ~30% faster training throughput. Architected attention-augmented and multi-scale models (FPNs, segmentation-aware detectors), improving precision by 22–28% on benchmark datasets. Followed ML lifecycle best practices (MLflow, Weights & Biases, DVC) and produced production-ready code with strong maintainability.

Graduate Assistant at Lakehead University

September 1, 2024 - December 1, 2024

Supported instruction in machine learning, statistical modelling, and evaluation metrics for cohorts of 20–50 students. Mentored students on regularization, model evaluation, bias-variance tradeoffs, and data-centric ML workflows, improving assignment performance by 15–20%. Conducted weekly office hours and technical reviews, reinforcing a clear explanation of complex ML concepts to non-expert audiences.

Junior Biomedical Engineer at Kish Laboratories (Pvt) Ltd

August 1, 2020 - September 1, 2022

Built and maintained SQL-driven operational systems, improving order accuracy by 20% and reducing turnaround time by 30%. Supported high-reliability medical devices across hospital deployments, maintaining 99% system uptime in regulated environments. Gained early experience in data integrity, system validation, and operational risk, directly transferable to enterprise ML systems.