Senior Data Scientist | AI/ML Engineer | Cloud Solutions Architect | Leading Enterprise AI Solutions | Expert in Generative AI & MLOps
I am a technology leader with 13+ years of experience in enterprise AI solutions, specializing in developing production-grade ML systems, LLM applications, and cloud-native AI solutions. I have a proven track record of leading cross-functional teams to deliver impactful business solutions through advanced analytics and machine learning. Outside of work, I enjoy hiking and spending time in the outdoors, finding inspiration in nature's complexity and beauty.
Concentration: NLP | Relevant Courses: Advanced Deep Learning, ML Engineering, Cloud AI Systems
Focus: Data-Driven Decision Making, Technology Strategy
This project implements a high-performance NLP pipeline for scientific document analysis, integrating a Neo4j knowledge graph for structured storage and retrieval. The Retrieval-Augmented Generation (RAG) system enables semantic search and contextual querying of scientific literature.
The AI Fake Image & Video Detector is a powerful Streamlit-based application designed to identify whether images or videos are AI-generated or authentic. Utilizing advanced techniques, this tool helps detect synthetic media created by popular AI models such as DALL-E, Midjourney, Stable Diffusion, and others.
Embark on an intriguing journey through the implementation of three search algorithms—A*, Branch and Bound (BnB), and Dijkstra—in the context of the 4 Knights problem.
Read ArticleExplore how a healthcare staffing company can offer a platform that allows healthcare facilities to easily find pre-qualified professionals using a recommender system based on cosine similarity.
Read ArticleThis article presents an implementation of linear regression using a closed-form solution for a given dataset D.
Read ArticleDelve into the philosophical exploration of the relationship between humanity and technology, emphasizing its growing importance in modern times.
Read ArticleDiscuss the differences between AutoEncoders and Variational Autoencoders, highlighting their applications in representing data in lower-dimensional spaces.
Read ArticleAn overview of YARN, a resource management platform in Hadoop, detailing how it manages computing resources within a cluster.
Read ArticleAn exploration of the theoretical foundations of machine learning algorithms, focusing on well-established concepts in computational learning theory.
Read ArticleDiscuss how machine learning is becoming an essential tool in fusion research, aiding scientists in making new discoveries and improving experimental outcomes.
Read ArticleInsights into how neural networks expect input data in specific shapes, and methods to reshape data to match these expectations for effective model training.
Read ArticleA comparative analysis of Depth-First Search (DFS) and Breadth-First Search (BFS) algorithms, outlining their differences and use cases in graph traversal.
Read ArticleAn overview of various optimizers used in deep learning, discussing their strengths, weaknesses, and applications in training neural networks.
Read ArticleA classifier called Random Forest consists of a number of classifiers with a tree-like structure, identically distributed independent…
Read ArticleClassification and Regression Tree (CART) is a decision tree learning algorithm. It can be used for both classification and regression…
Read ArticleA fundamental goal of machine learning is generalization: the ability to draw inferences about unseen data from finite training examples…
Read ArticleA model that has learned the noise instead of the signal is considered “overfit” because it fits the training dataset but has a poor fit with new datasets. This is a common problem in machine learning which can be solved using a validation dataset. Generalization of a model to new data is ultimately what allows us to use machine learning algorithms every day to make predictions and classify data.
Read ArticleAn analysis of how AI technologies are being used to analyze financial data and SEC filings.
Listen on SpotifyExploring potential developments and impacts of artificial intelligence over the next ten years.
Listen on SpotifyAn interactive Streamlit app leveraging NLP embeddings and Gemini AI to analyze, classify, and provide insights on customer support issues.
Listen on SpotifyExploring high-performance NLP pipeline that uses a Neo4j knowledge graph for the analysis of scientific documents built on a Retrieval-Augmented Generation (RAG) architecture
Listen on SpotifyDiscussion on AlphaFold's revolutionary impact on protein structure prediction and its Nobel Prize recognition.
Listen on SpotifyExploring various dynamic programming algorithms and their applications in computer science.
Listen on SpotifyExplaining the concept of Retrieval Interleaved Generation and its implementation with Large Language Models.
Listen on SpotifyExamining how large language models are impacting medical diagnosis and clinical decision-making.
Listen on SpotifyDiscussing the mathematical principles that govern how neural language models improve with increased size and data.
Listen on SpotifyExploring the popular topic modeling technique and its applications in natural language processing.
Listen on Spotify