Integrated into this website! (bottom right) Tech stack includes Langchain, Pinecone, OpenAI, FastAPI, and Appwrite. Deployed with AWS Lambda and S3
Built with React, JavaScript, TailwindCSS, Git and TypeScript. Deployed with AWS Amplify
Google Colab Notebook using dataset from Kaggle(1800 items). Huggingface-transformers, matplotlib, PyTorch(AdamW optimization), sklearn, pandas.
Developed on Google Colab using scikit-learn and tensorflow. Data preprocessing, data mining, data visualization and Exploratory Data Analysis (EDA) performed using matplotlib and pandas. (More of a walkthrough I went through and did on my own)
Fitness social media application. Users can post gym workouts, track progress, and share fitness-related content. React Native, Expo, Appwrite, Git and TailwindCSS.
Being Developed on Google Colab using scikit-learn and PyTorch. Data preprocessing, data mining, data visualization and Exploratory Data Analysis (EDA) performed using matplotlib and pandas.
Started position at Tasteport focusing on E-Commerce.
Worked with E-Commerce catalog information at grocery store clients. This includes scanning products and organizing database information. Collaborated with ECom Marketing professionals to shoot images, manage SKUs, and organize different product groups. Handled price synchronization and special product categorization.
Handling day to day operations.
Managed live B2B relations with million-dollar business owners and managers. Handled onboarding for inventory tools and operations fulfillment using Java-based tools at grocer client sites. Responsibilities included B2B operations communications with managers, fleet, and fulfillment staff.
Business degree but switched into life sciences in 2023.
Transferred to York University in 2024, now in the BSc. Biochemistry program with plans of pursuing bioinformatics with a focus on genetics
Started taking data science courses and working on projects.
Python - Numpy, Pandas, Matplotlib, sklearn R - tidyverse
Working on AI models for grocery product grouping.
Trained and fine-tuned foundational AI model for thousands of SKUs for grocery product grouping. Saves tens-hundreds of hours of manual grouping. Assisted in developing knowledge base databases for RAG applications. Systems include AI-powered CX, CRM, chat, and SEO capabilities.
Generative AI and LLMs NVIDIA certification
Focused on increasing my knowledge and application skills in AI and machine learning. I am also working on more personal projects on kaggle to solidify my understanding of these concepts.
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