Building the Next Gen of
Cognitive Systems
Specializing in explainable NLP, multimodal fusion, and medical computer vision. Bridging the gap between raw data and clinical/logistics solutions.
The Engineer Behind the Algorithms
I hold a Master of Science in Data Science from Saint Peter's University and a Bachelor of Technology in Computer Science & Engineering. My focus lies in architecting robust, explainable ML models that handle complex multimodal datasets.
From enhancing diagnostic pipeline explanations using Grad-CAM to building Reciprocal Rank Fusion engines for retrieval-augmented generation (RAG), I construct systems that emphasize transparency and production scalability.
M.S. Data Science
Saint Peter's University (2026)
B.Tech CSE
GITAM University (2023)
Technical Skill Matrix
Languages & Libraries
Deep Learning & NLP
Computer Vision & Graphs
Virtual ML Playgrounds
Experience my machine learning implementations running live in your browser. Interact with inputs and see real-time predictions.
ArgRAG: Argument-Aware Retrieval-Augmented Generation
My research paper project that inserts an argument filtering layer between retrieval and generation, improving factuality by 3.4% and explanation quality by 21%.
Multimodal Clinical Outcome Prediction (MIMIC-IV)
Integrates structured EHR patient statistics and BioClinicalBERT clinical note embeddings. Adjust the sliders and input patient keywords to observe the fusion model risk calculation.
Anomaly Detection & Grad-CAM Interpretability
Visualizing deep neural network decision features. Toggle the conditions and slide the opacity selector to see how Grad-CAM localizes pulmonary pathological features on the radiograph.
Neural Activation Map
Model localizes high activation intensities in the bilateral lower lung zones, consistent with bronchopneumonic infiltrates.
Graph Route Optimizer with Real-Time Constraints
Calculates optimal delivery routes using graph search algorithms. Click on the grid map to place custom delivery addresses/nodes, select your solver, and trigger the search path optimization.
Path Metrics
- Waiting for node placement...
Professional Timeline
Graduate Research Project
Architecting Advanced NLP Retrieval Solutions
- Designed and deployed ArgRAG, a modular RAG pipeline adding argument filters between BM25/DPR ensembled retrievers and generators.
- Optimized classification models (RoBERTa, DeBERTa) to filter passages by argument alignment, boosting factual accuracy by 3.4%.
Multimodal Deep Learning Architect
Deep Fusion for Clinical Predictions
- Built deep fusion architectures combining structured tabular hospital statistics and BioClinicalBERT clinical note embeddings.
- Improved mortality and triage prediction F1 metric by 7% using PyTorch deep neural networks.
MLP Neural Net Architect
Asteroid Diameter Regression
- Optimized a multi-layer perceptron neural network using TensorFlow/Keras on NASA's open datasets, estimating asteroid size with high $R^2$ scores.
ML Terminal Interface
Run commands directly against my digital twin. Query skills, fetch resume details, or trigger model training simulations.