Since my childhood, I've been motivated by endeavors that have a meaningful impact. In my pursuit of discovering my true passion, I found myself deeply drawn to the field of AI. I am currently seeking an opportunity where I can wholeheartedly engage in this field, with the hope of giving back to society in my own way.

If you'd like to explore the skills and knowledge I've gathered on this journey, please feel free to delve deeper into my work below.

• Working on: Building and deploying a Language Model (LLM) into production while implementing a vector database for efficient storage and retrieval.
• Exploring: Distributed training, inference, and optimizing LLM for performance and latency.
• Passionate about: Using AI to create solutions that positively impact people's lives, whether it's through healthcare, education, or other domains.
• Collaborating on: LLMs for Knowledge Graphs using unstructured data.
• Here to help: Individuals who are starting out in AI, coding, or any related field. Feel free to reach out to me on LinkedIn!

• Medium
• LinkedIn
• YouTube

1. Graph RAG for Medical data
2. Vector Store from Scratch
3. Pretraining Transformer model from scratch
4. Webcrawl and semantic search from scratch

• Career Essentials in Generative AI by Microsoft and LinkedIn
• Generative AI with Large Language Models
• Deploying a Model for Inference at Production Scale by NVIDIA
• Building Conversational AI Applications by NVIDIA
• Generative AI with Diffusion Models by NVIDIA
• Model Parallelism: Building and Deploying Large Neural Networks by NVIDIA

1. PDF Query Bot + Web App (Generative LLM) Click here to watch the demo

Repository Link: ChatBot with PDF Query

2. Conversational Bot (ASR + Generative LLM + TTS) Click here to watch the demo

Repository Link: Jack Bot with Multiple Personality

• Description: Research project using ML to discover new drugs to treat thrombosis
• Repository Link: Master Thesis Codebase
• Inference Website: Thrombin Inhibitor Peptide Predictor

• Description: Grocery Bot that helps with choosing recipes and corresponding ingredients.
• Repository Link: Grocery Bot

• Description: Customer service-client dialogue summarization using GPT-3.5 and FLAN T5
• Repository Link: GenAI_Summarization_Customer_Service

• Description: Utilized RoBERTa for sentiment analysis and built a Q&A Bot powered by the GPT-3.5 model using LangChain to understand customer reviews.
• Repository Link: Dating App Insights

• Description: Enhanced news article search relevance with SBERT transformer using an end-to-end ML Ops project, from MongoDB data to AWS EC2 deployment via Docker.
• Repository Link: End To End ML Pipeline

• Description: Built a music recommendation using various techniques including Autoencoders, Neural Collaborative Filtering, and Deep Neural Networks
• Repository Link: Music Recommendation System

• Description: Built a movie recommendation system using TensorFlow and deep learning techniques.
• Repository Link: Movie Recommendation System

• Description: Churn Prediction using Apache's PySpark Machine Learning
• Repository: Churn Prediction

• Description: NBA data management and analysis
• Repository: NBA Data Management and Analysis