ABOUT

About Me

I’m a passionate learner and builder , blending my interests in Web Development and Artificial Intelligence. On the web side, I enjoy crafting clean, functional, and user-friendly applications,—turning ideas into experiences that people can actually interact with. On the AI side, I’m driven by curiosity in Machine Learning, Data Science, and Large Language Models (LLMs).

“Training models and myself—both still prone to overfitting.”

SKILLS

HTML/CSS

JavaScript

TypeScript

React.js

Next.js

Python

Matplotlib

Seaborn

Numpy

Pandas

Tensorflow

Pytorch

Langchain

Langgraph

Langsmith

ASK ME ABOUT

Data Science

Data Analysis & Visualization: Exploratory Data Analysis (EDA) Data Cleaning and Preprocessing Statistical & Supervised Learning (Regression, Classification) Unsupervised Learning (Clustering, PCA) Model Evaluation & Hyperparameter Tuning.

Machine Learning

Linear & Logistic Regression, Decision Trees & Random Forests, Naive Bayes ,Support Vector Machines (SVM) K-Nearest Neighbors (KNN) Ensemble Methods (Bagging, Boosting, XGBoost, LightGBM)

Deep Learning

Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) for image recognition, Recurrent Neural Networks (RNNs) and LSTMs for sequence modeling, Transformers for modern NLP tasks, and Transfer Learning to leverage pre-trained models.

GEN AI

Generative AI (GenAI): Text Generation, Model Fine-Tuning ,Retrieval-Augmented Generation (RAG) :RAG Pipelines, Vector Embeddings, Document Search, LLM Integration.