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Hello, I'm

Navdeep Singh

Computer Science and Bioinformatics Student

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About Me

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Experience

Software Engineering
Machine Learning
Artifical Intelligence
Research

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Education

B.Sc. at University of Alberta
Computer Science
Bioinformatics
4.0 GPA

Welcome to my portfolio! I'm a Computer Science major with a minor in Bioinformatics from the University of Alberta. Proficient in Python, Java, and C#, I'm deeply immersed in the realms of Machine Learning and Artificial Intelligence. From crafting Generative AI at Huawei Technologies Canada Co. Ltd., building ChatBots at The Metabolomics Innovation Centre, to developing Convolutional Neural Networks as a researcher at UAlberta, I've honed my skills in cutting-edge technologies. Additionally, my journey includes hands-on experience in Software Engineering, having contributed as a Software Developer at My Viva Inc., crafting mobile applications, and as a Developer at the Rehabilitation Robotics Laboratory. Through these experiences and my personal projects, I'm constantly fueled by the pursuit of knowledge and challenges, eager to embark on new endeavors and make meaningful contributions.

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Explore My

Experience

My Viva Inc.

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Developing You-ARe-Ok (YARO)

Deploying a mobile application using .NET, REST, Unreal Engine, and C# that enables users to chat with an AI bot for daily wellness advice

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ChatBot Integration

Developing using a vectorized database created by dieticians and Retrieval-Augmented-Generation (RAG) alongside GPT for summarization

The Metabolomics Innovation Centre

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Large Language Models (LLMs)

Fine-tuning LLMs, including Llama3, to perfrom information extraction from scientific research articles

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Dataset Enhancements

Running Fine-Tuned model on PubMed corpus and increasing the domain and size of ChemFOnt's Knowledge Graph

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Automation Scripts

Evaluating model performance using Precion, Recall, F1-Score, and Jaro-Winkler Similarity in addition to novel metrics I developed

Huawei Technologies Canada Co. Ltd.

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Stable Diffusion Models (Generative AI)

Optimized using techniques such as pruning, knowledge distillation, and step-distillation to achieve 89% latency improvements

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Image Editing using Diffusion

Using scikit-learn and PyTorch to visualize and inject attention maps to build a novel model for cellular deployment

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Automation Scripts

Authoured scripts to prepare fine-tuning datasets (>13 million) and FID, CLIP, and HDI evaluation scripts

University of Alberta - Dr. Guohui's Lab

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Convolutional Neural Network (CNN)

Developed a CNN to predict antigenicity based on amino acid sequence of Influenza A virus using Python

Currently being used to create a system to determine the best vaccine for upcoming flu seasons

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Model Training

Scraped NCBI for 285 sequences and trained model to achieve an Accuracy and F1-score of 94 and 97 respectively

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Research Paper

Prepared analytic data for visualization using Excel and R to be used in research paper drafts

Rehabilitation Robotics Laboratory

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Developed GlenxRose - StrokeAR

Improving Patient Adherence to Therapies for Patients with Acquired Brain Injury Using Augmented Reality

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Software Development

Utilizing Photon Engine 2 and C#, engineered scripts to elevate user experience and augment application functionality, integrating essential components

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Augmented Reality Tools

Developed application using Unity and tested on a Windows Hololens 2

Heritage Youth Researcher Summer Program

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Augmented Reality Development

Used Unity and PyMol to create animations for biological processes that will be used in cell biology courses at the University of Alberta

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Videographer

Organized and filmed an advertisement video while directing 28 students and university staff

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Browse My Recent

Projects

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LinkUp

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Text-Mining System

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Overgrown

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QR-Game

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