About me:
I'm an MLE and Investor, passionate about leveraging machine learning to improve various industries, especially financial and real estate data. I aim to make these processes more efficient through innovative ML applications. If you have any questions or ideas, feel free to reach out!

Education:

• University of Toronto
  Honours, Bachelors of Science in Applied Statistics with a minor in Computer Science
  GPA: 3.59 (2016 - 2020)
  Coursework focused on applied AI/ML

Programming Skills:

• Languages: Python, R, JavaScript, TypeScript, SQL (Postgres, MySQL), MongoDB, AWS RedShift, VectorDBs, Pinecone, AstraDB, Google BigQuery
• Technologies and Frameworks: AWS, TensorFlow, PyTorch, Keras, Scikit-learn, LangChain, LlamaIndex, Pandas, NumPy, MLOps, Git, PowerBI, Tableau
• Machine Learning: Regression, Classification, NLP, LSTM, RNN, Time Series Analysis, LLM, RAG, LangChain, LlamaIndex, YOLO, MobileNet

Experience:

• Fundmore.ai, Toronto, Canada
  Product Lead - Fundmore IQ (August 2022 - January 2023)
  Conducted impactful technical product demonstrations, securing prominent institutional clients and spearheading the development of an NLP OCR-based document classification platform to streamline lending and underwriting processes. Onboarded 9 new institutional lending clients.

• Fundmore.ai, Toronto, Canada
  Data Scientist (June 2021 - August 2022)
  Developed and optimized ETL framework efficiency, enhancing data processing for client dashboards and visualizations. Data wrangling and preprocessing large corpus of unstructured client data for future predictive model creation, leading to 30% faster pipeline flows for underwriters.

Projects:

• Scraping Hospital Data powered by LLM’s
  A solution to find wait times at ER rooms around the US. This project uses web scraping via BeautifulSoup and a fine-tuned Mistral7B model to extract wait times from web pages and rank them in a Pinecone vector DB.
  GitHub Repository

• Dynamic Text-based Adventure Game
  A dynamic text-based adventure game inspired by the Pokemon series using RAG, LangChains, OpenAI API, AstraDB, and Python.
  GitHub Repository

Certifications:

• Coursera certified Deep Learning Specialization by Deeplearning.ai instructed by Andrew Ng.
• 8 short courses by deeplearning.ai on topics such as RAG’s, Prompt Engineering, Fine Tuning LLMs, and building Agentic applications.

Teaching/Leadership Experience:

• Founder, Technical Lead, Chicago, IL
  Started my own company, building in stealth (January 2023 - Present)

• Teaching Assistant, University of Toronto
  STA107: Intro to Probability and Modelling & STA215: Introduction to Applied Statistics (September 2019 - May 2020)

• 🔭 I’m currently working on building an ER wait time finder app, which you can find on my GitHub.

• 🌱 I’m currently learning about Transformers, chatbots, agent apps, and building applications using LLMs.

• 📫 How to reach me: LinkedIn