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NYU
Data Scientist
June 29, 2026 – Present
agentguard
April 16, 2026 – Present
Runtime guardrails for AI agent tool calls: response verification, budgets, circuit breakers, rate limiting, and tracing.
View ProjectSnippyScan
September 15, 2025 – September 15, 2025
An intelligent radiological assistance system that combines YOLOv11-L object detection with comprehensive MLOps infrastructure to help radiologists identify and localize chest X-ray abnormalities with enhanced accuracy and efficiency.
View ProjectRAGIndex
June 11, 2025 – December 7, 2025
LlamaIndex Powered RAG for PDF, TXT and DOCX files with Tesseract OCR support, Semantic chunking, Document citations with direct page display, Advanced Caching and Duplicate Detection with Redis Vector DB
View Projectece-gy-9183-group19
April 3, 2025 – May 13, 2025
AI-assisted chest X-ray abnormality detection system using YOLOv11-L to classify and localize pathologies with bounding boxes. Built on VinDr-CXR with a full ML pipeline, cloud-native infrastructure, distributed training, and production-grade serving, monitoring, and evaluation for radiology workflows.
View ProjectRed-Hen-Gesture-Classifier
October 29, 2023 – November 13, 2023
Final Pipeline for Gesture classification
View ProjectRed-Hen-project
May 18, 2023 – November 20, 2023
All the code for my project done at Red Hen Labs | Creating a multi-modal solution for the Emile Male pipeline
View ProjectYOLO-26-CAM
May 4, 2023 – Present
Wanna know what your model sees? Here's a package for applying EigenCAM (like GradCAM) and generating heatmap from the new YOLO models
View Projectrigvedrs.github.io
June 21, 2022 – September 28, 2025
rigvedrs.github.io — GitHub repository
View ProjectPneumonia-Detection-from-X-Ray-Images
May 16, 2022 – November 20, 2023
Detection of pneumonia from X Ray images using Pytorch
View ProjectCultural Fit Analysis
The candidate exhibits a strong passion for AI/ML through numerous personal projects, many of which are complex and demonstrate initiative. The projects align well with a Data Scientist role, particularly in areas like computer vision and natural language processing. The diversity of projects, from model interpretability (YOLO-26-CAM) to MLOps (SnippyScan, ece-gy-9183-group19) and RAG systems (RAGIndex), indicates a broad interest and willingness to explore different facets of data science. The current role at NYU as a Data Scientist, though with an unspecified start date in the future, suggests alignment with the target role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and hands-on approach to problem-solving. However, without specific assessment data on communication, logical reasoning, or teamwork, it is difficult to fully assess soft skills and operational fit. The experience level is listed as 0, which contradicts the depth of projects, suggesting a potential data inconsistency or a very early career stage with significant personal project investment.