
Deep Learning and Generative AI enthusiast.
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SQL-Injection-Attack-Prevention-LLM
December 21, 2025 – Present
SQL-Injection-Attack-Prevention-LLM — GitHub repository
View ProjectAI-Agent-From-Scratch
May 13, 2025 – May 15, 2025
This project, "AI-Agent-From-Scratch," is a powerful AI agent built from the ground up using Python and Langchain. It's designed to function as a research assistant, capable of answering user queries, conducting web searches, accessing Wikipedia, and saving research output to files.
View ProjectAgentic-AI-Projects
January 2, 2025 – May 13, 2025
Agentic-AI-Projects — GitHub repository
View ProjectFront-End-Development
August 17, 2024 – August 17, 2024
My journey on the front-end side of things
View ProjectEnd-to-End-LLM-Resume-Guide
August 5, 2024 – August 11, 2024
End-to-End resume which takes the job description you are applying for and your resume in pdf format as inputs and provides insights as to what changes you might need to make in your resume to make it more desirable for the aforementioned job description.
View ProjectText-Summarization
July 27, 2023 – July 27, 2023
Text Summarization using the sshleifer/distilbart-cnn-12-6 model from huggingface. We used gradio for UI.
View ProjectAlpaca-Classifier
January 9, 2022 – January 9, 2022
Using transfer learning on a pre-trained CNN to build an Alpaca/Not Alpaca classifier using MobileNetv2
View ProjectPython-Curses
November 16, 2021 – November 26, 2021
The curses library supplies a terminal-independent screen-painting and keyboard-handling facility for text-based terminals; such terminals include VT100s, the Linux console, and the simulated terminal provided by various programs. Display terminals support various control codes to perform common operations such as moving the cursor, scrolling the screen, and erasing areas. Different terminals use widely differing codes, and often have their own minor quirks. In a world of graphical displays, one might ask “why bother”? It’s true that character-cell display terminals are an obsolete technology, but there are niches in which being able to do fancy things with them are still valuable. One niche is on small-footprint or embedded Unixes that don’t run an X server. Another is tools such as OS installers and kernel configurators that may have to run before any graphical support is available. The curses library provides fairly basic functionality, providing the programmer with an abstraction o
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML, which could indicate a proactive and self-driven individual. However, the projects are predominantly personal and lack details on collaboration or team dynamics. The diversity of projects, including some front-end development, suggests a broad interest, but the core focus aligns well with a Data Scientist role. The absence of professional experience or educational background makes it difficult to fully assess cultural fit beyond technical interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.