Harish Nair
AI Engineer at the National Research Council Canada, R&D at uOttawa, KaggleX Fellow 2024, Ex-Sr. Analyst at Capgemini
I am a Data|
Education
Master's in Applied Data Science
University of Ottawa
September 2023 - April 2025
Ottawa, Ontario, Canada
- Research focus on Large Language Models and Computer Vision
- Relevant Coursework: Fundamentals of applied data science, Data science applications, Web services, Electronic commerce technologies, Process modeling, mining and automation, natural language processing, ethics in AI
Bachelor's in Computer Engineering
University of Mumbai
August 2017 - June 2021
Mumbai, India
- Relevant Coursework: Data Structures, Advanced Algorithms, Machine Learning, Database Management, Artificial Intelligence, Operating Systems, Computer Networks, Big Data Analytics, Computer Graphics, Web Design, Data warehouse and mining
- Publications: Multi-agent driving simulation game based on Reinforcement learning published in International Journal for Research in Applied Science & Engineering Technology (IJRASET) in May, 2021
Experience
AI Engineer
National Research Council Canada
May 2024 - Present
Ottawa, Ontario, Canada
- Enhanced chatbot development through natural language understanding workflow in Semantic Kernel, Copilot Studio and LLMOps in Azure AI Studio, with retrieval augmented generation for the International Relations Office at NRC.
KaggleX Fellow
Kaggle
September 2024-Present
Ottawa, Ontario, Canada
- Developed front-end interfaces for LLM integration with Vertex AI, leveraging Groq and Gradio within a scalable RESTful architecture.
- Fine-tuned the Gemma 2B model with QLoRA, conducted post-training quantization, and applied Direct Preference Optimization with Argilla and Distillabel for medical transcripts, evaluating performance using weights & biases.
Senior Analyst
Capgemini
March 2023-August 2023
Mumbai, India
- Enhanced software efficiency by 20% through SQL scripting improvements and agile issue resolution across Canada and APAC, ensuring SLA compliance, KPI reporting, and successful go-live support.
Analyst
Capgemini
August 2021-February 2023
Mumbai, India
- Developed and maintained SQL scripts for data analysis and reporting, supporting business operations across multiple regions.
- Monitored middleware event logs in SAP MII, performed forecasting using ETL tools like Tableau, Power BI and Excel, and managed PCo modules across XML back-end systems in SOAP whilst streamlining SAP Process Integration by optimizing message distribution, creating packages, maintaining tables, scripting in SQL with HANA, and building forms with Adobe LiveCycle Designer, visualizing data using CDS views.
Skills & Technologies
Programming Languages
Frameworks
Tools
Databases
Projects
Medical Image Analysis with Deep Learning
Developed and refined deep learning, vision language foundation models using MedSAM and nnU-Net for segmenting abdominal lesions and metastasis in CT scans.
Natural Language Processing System
Applied word embeddings (N-gram, TF-IDF) on Project Gutenberg texts, utilizing stemming, lemmatization, and 10-fold cross-validation.
CNN Image Classifier
Built and deployed a CNN model for image classification utilizing the fastai library on PyTorch, Dockerfile image container and Kubernetes.