About

About Me

I am a passionate AI professional with a strong foundation in big data tools and cloud technologies, currently honing my skills in AI development at George Brown College. My experience spans across various data technologies, including Azure, Tableau, SQL Server, and more.

Profile: Data Science and AI professional
Education: Master of Computer Information
Language: English, Hindi, Gujarati
BI Tools: Microsoft Power BI & Tableau
Other Skills: Cloud, PySpark, Excel, Git & JIRA
Interest: Traveling, Singing, Spiritual reading

20 + Projects completed

Resume

Seeking a role as a Data Science and AI professional to apply expertise in machine learning, deep learning, and LLMs to real-world challenges. Experience in developing predictive models,computer vision systems, and scalable ETL pipelines.

Experience

2025-Present

AI Engineer

Herb Immortal

Developed a cloud-based Language Model pipeline on Google Cloud Platform, leveraging scalable infrastructure for training and optimization.
Performed OCR-based text extraction using Google Cloud Vision API and built Python notebooks for data preprocessing and character-level extraction.
Fine-tuning transformer-based LLMs using Hugging Face and orchestrating training workflows on Vertex AI.
Managed structured datasets in GCS buckets to enable scalable model training and evaluation.

2024-2025

Machine Learning Intern

Kinectrics

Developed and optimized YOLO-based computer vision models for real-time defect detection in industrial equipment.
Integrated LLMs for automating document processing, enhancing text generation, summarization, and extraction.
Automated data pipelines using PySpark for large-scale preprocessing, model training, and evaluation.
Leveraged TensorFlow and PyTorch to implement, fine-tune, and deploy machine learning models.

2022-2023

Data Engineer Intern

Open-path Solutions

Developed and optimized PySpark transformations to process and analyze large datasets, including data extraction, transformation, and loading (ETL) from various sources such as Azure SQL Database, PostgreSQL, MongoDB, and Snowflake.
Implemented complex data pipelines for data cleansing, aggregation, and integration using PySpark, enhancing data quality and performance.
Collaborated with cross-functional teams to design and execute scalable data solutions in a distributed environment, improving data accessibility and reducing query times.

August 2024

Software Engineer Intern

J.P. Morgan

Set up a local dev environment by downloading the necessary files, tools and dependencies.
Fixed broken files in the repository to make web application output correctly.
Used JPMorgan Chase’s open source library called Perspective to generate a live graph that displays a data feed in a clear and visually appealing way for traders to monitor.

Education

JAN 2024 - DEC 2024