MS(R), CSE @ IIT Delhi | AI Scientist @ Naukri.com Building LLM and Agentic AI systems in industry, while actively researching Computer Vision and Scene Graph
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DINOv3-ActionGenome-Detector
May 7, 2026 – Present
Research-oriented Faster R-CNN style object detector using DINOv3 backbones for Action Genome, designed for scene graph generation and spatio-temporal visual understanding pipelines.
View ProjectWorldSceneGraphAnnotationTool
February 4, 2026 – Present
Tool for creating annotations for world scene graphs.
View ProjectImparTail
October 3, 2024 – July 14, 2025
[CVPR 2025 (Highlight)] Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
View ProjectSceneSayer
February 2, 2023 – Present
[ECCV 2024 (Oral)] Towards Scene Graph Anticipation
View ProjectCultural Fit Analysis
The candidate's projects are exclusively research-oriented and academic, focusing on advanced computer vision and scene graph generation. While highly specialized, this might indicate a strong preference for research environments over typical industry data science roles that often involve broader data analysis, model deployment, and business impact. The lack of diverse project types (e.g., business intelligence, A/B testing, production ML systems) suggests a potential mismatch for a general Data Scientist role, though it could be a strong fit for a research-focused Data Scientist or ML Scientist position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical research achievements.