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My name is Jay P. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Python, Data Science, Deep Learning, TensorFlow, Python Scikit-Learn, etc.. I hold a degree in High school degree, Bachelor's degree. Some of the notable projects I’ve worked on include: Invoice-excreter-bot-llm, QnA With RAG, Chicken Disease Classification, Twitter Scraper Bot. I am based in Surat, India. I've successfully completed 4 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
Main technologies
Data Science, Machine Learning and AI Platforms
1 year
Python
1 Year
Data Science
1 Year
Deep Learning
1 Year
Additional skills
- Python
- Data Science
- Deep Learning
- TensorFlow
- Python Scikit-Learn
- Machine Learning
- Transfer Learning
- Flask
- Streamlit
- SQL
- Python Script
- LLM Prompt Engineering
- FastAPI
- Docker
- Data Analytics
Direct hire
Potentially possible
Previous Company
Fractal Analytics
Experience Highlights
Invoice-excreter-bot-llm
Streamlit app leveraging OpenAI's LLM for accurate invoice extraction, supporting PDF files and offering JSON/CSV outputs.
QnA With RAG
A full-stack application that enables you to turn any text document or piece of content into context that any LLM can use as references during chatting. This application allows you to add and delete documents and can create multiple knowledge bases.
Chicken Disease Classification
The objective of this project is to distinguish between two distinct categories of chicken fecal samples: those displaying symptoms of disease (specifically Coccidiosis) and those reflecting normal, healthy characteristics. Leveraging advanced computer vision techniques, this initiative involves analyzing and interpreting images of fecal samples.
Twitter Scraper Bot
- Developed a custom Twitter scraper using Python and Selenium, enabling precise extraction of user IDs, names, and profile links based on targeted keywords. - Overcame challenges posed by Twitter's ever-changing DOM elements, implementing adaptable scraping techniques to ensure consistent data retrieval.
Education
M.M.P High School - India
High school degree in
2015-01-01-2017-01-01
Parul University
Bachelor's degree in Computer science
2017-01-01-2021-01-01
Languages
- English
- Gujarati
- Hindi
Github