
A dedicated and enthusiastic learner with an impressive academic record, committed to continuous knowledge acquisition and meaningful contributions. Goal-oriented and disciplined in achieving objectives, with a curious mindset driving innovative solutions. Proficient in problem-solving with a strong ability to adapt to dynamic environments, effectively leveraging expertise to address challenges in the evolving technical landscape.
Programming Languages:
Python, C, C, SQL
AI / Machine Learning:
Machine Learning, Deep Learning, CNN, LLMs, RAG, Transformers, NLP
Frameworks & Libraries:
TensorFlow, Scikit-learn, Django
Automation & Tools:
n8n, Excel Automation
Databases:
MySQL, MongoDB
Core Concepts:
Data Structures & Algorithms, Semantic Search, Embeddings, Anomaly Detection, Model Evaluation
Anomaly Detection in Healthcare Data Using Machine Learning
Scopus Indexed | ICOFE 2024
Terrain Feature Detection on Mars Using Deep Learning
Scopus Indexed | ICEAT 2025
LLM-Powered Document Query System | GitHub
Technologies: LLM, Semantic Search, Embeddings
RAG-Based AI Chatbots | GitHub
Technologies: RAG, LLM, n8n Automation
Music Genre Classification Using Deep Learning
Technologies: Python, TensorFlow, MFCC, Spectrogram
Websites
Technologies : Wix, Wordpress
Introduction to statistics- standford university - coursera