Portfolio

About memy stats

Information About me

I am a passionate Computer Science professional with a strong interest in AI, Data Science, and emerging technologies. With expertise in programming languages, particularly Python, I have honed my skills in the field of Artificial Intelligence. I have expanded my knowledge and understanding in AI through various courses and stay updated with the latest tools and techniques. I am particularly fascinated by the potential of LLMs and Generative AI, which offer exciting possibilities in natural language generation and other applications. Additionally, I explore the dynamic fields of Computer Vision and NLP, continuously broadening my skill set and striving to keep pace with the latest advancements in these areas.

I am constantly seeking opportunities to learn, collaborate, and contribute to the field of AI. Let's connect to explore potential synergies and discuss how we can leverage AI, Data Science, and related technologies.

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10+

Small & large Personal Projects
Completed

10+

Happy
Clients

My Skills

LangChain

Generative AI

Computer Vision

Large Language Models (LLM)

Natural Language Processing (NLP)

ONNX Runtime

Pytorch

Deep Neural Networks (DNN)

Data Science

Machine Learning

Scikit-Learn

Jupyter

Database Management System (DBMS) and SQL

Beautiful Soup

Data Analysis with Python

Matplotlib and seaborn

Pandas

NumPy

Java (Programming Language)

Python (Programming Language)

web programming (Html and Css)

C (Programming Language) and C++

My Timeline

Dec 2022 - Present

Machine Learning Intern - MacroInception.ai

Demonstrated a strong commitment to continuous learning, consistently undertaking projects and assignments to enhance expertise in the field.

Spearheaded data collection efforts from diverse sources, which served as a pivotal foundation for fine-tuning the stable diffusion model, resulting in the generation of customized bouquets for various occasions.

Developed robust functions for generating JSON files from hierarchical data, extracting specific sections from designated page numbers in documents, and removing noise from extracted sections using dimensions from the JSON dataset.

Conducted rigorous manual testing of over 1000 samples of generated lyrics to identify patterns and improve the model's performance, and ensuring accuracy and precision in the generated results.

Independently built a chat bot model using an open-source LLM and Langchain modules and added memory and resl query functionalities. Chat bot retrieves and provides assistance from relevant emails in a data frame, incorporating essential metadata such as sender and email topic.

Scraped and enhanced a substantial image dataset comprising 10,000+ images, effectively enhancing data quality by eliminating noise and inconsistencies. Successfully implemented diverse methodologies, including zero-shot classification, face detection, and caption generation, to attain superior outcomes.