Introduction

Manpreet Singh

Machine Learning Engineer

I'm an ML enthusiast who blends hands-on industry experience with deep technical expertise.
After three years of crafting ML solutions in the real world, I pursued my passion further through a Master's in Computer Science, diving deep into machine learning and NLP. At HyperMatrix Labs, I explored the fascinating world of Large Language Models, focusing on understanding their internal mechanisms and underlying behaviors.
I now work at Ross Video as a Software Developer – AI, where I explore and implement AI capabilities for next-generation broadcast and live production systems, building agentic prototypes and intelligent tooling that plug into video production infrastructure to assist operators, automate complex workflows, and make productions more adaptive.
I'm drawn to problems where the gap between a clever idea and something that actually works in production is the hardest part to close.

Journey.

Software Developer - AI

Ross Video, Canada

2026 - Present

Building AI capabilities for broadcast and live production systems, developing agentic prototypes and intelligent tooling that integrate directly into real-world video production workflows.

Machine Learning Research Engineer

HyperMatrix Labs, Canada

2023 - 2024

In my role as a ML Research Engineer, I contributed to multiple research projects focused on advancing explainable AI techniques in large language models (LLMs).

Machine Learning Engineer

Tata Consultancy Services, India

2019 - 2022

As an ML Engineer, I developed multiple innovative solutions in NLP and Computer Vision. Additionally, I trained over 100 new hires in the field of AI, guiding them through complex concepts and hands-on applications to build their expertise.

Masters of Computer Science

Dalhousie University, Canada

2023 - 2024

Master's in Computer Science strengthened my understanding of core concepts in Machine Learning, Deep Learning and NLP, providing me with a solid foundation in artificial intelligence technologies.

Bachelors of Computer Applications

Guru Nanak Dev University, India

2016 - 2019

Started my CS journey here, learning core topics such as programming languages, software development, algorithms, data structures, computer architecture and operating systems.

Projects.

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Interpreting effects of Quantization on LLMs

This research project investigates how quantization affects the behavior and internal representations of LLMs. Our analysis focuses on three key areas: (1) model confidence and calibration metrics, (2) architectural redundancy and its relationship to quantization and (3) the interpretation of individual neuron behaviors under different quantization schemes.

Manifold Learning in NLP Embeddings

This project applies manifold learning techniques, including Isomap, Locally Linear Embedding, and T-SNE, to explore biases and learning patterns in NLP embeddings. By reducing the high-dimensional space of these embeddings, we visualize and examine the patterns and biases, assessing how effectively different manifold learning methods preserve crucial information.

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Efficient Coding Assistant: A Rasa-Powered NLP Chatbot

Implemented a Rasa-based Natural Language Processing (NLP) chatbot aimed at automating various coding tasks. The chatbot was instrumental in boosting developer productivity by 25%, streamlining workflows and reducing manual overhead.

SmartSQL: GPT-3 Driven English-to-SQL Query Translator

Developed a specialized bot powered by GPT-3 that translates English text into SQL queries, with dynamic prompt engineering for optimal database interactions. Tailored to interface with a custom database schema, the bot offers a context-aware and user-friendly querying experience that streamlines database access and management.

From 2D to 3D: A Revolutionary Computer Vision Application for Architecture

Engineered a cutting-edge Computer Vision application capable of transforming traditional 2D architectural blueprints into interactive 3D visual models. This innovation has fundamentally changed the way architects and clients engage with design plans, making the visualization process more intuitive and collaborative.

MythGen: Indian Mythology Storyline Synthesizer with NLP

Developed an innovative NLP-driven application, MythGen, which utilizes the GPT-2 model to generate narrative storylines from Indian mythology. This application transforms simple prompts and genre selections into three unique story trajectories, enhancing the story creation process with AI-driven diversity and creativity.

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Manpreet Singh

Machine Learning Engineer

Journey.

Software Developer - AI

Machine Learning Research Engineer

Machine Learning Engineer

Masters of Computer Science

Bachelors of Computer Applications

Projects.

Get in touch.