Portfolio

AI Engineer

Smart Dust SystemsReno, USAFeb 2025 - Present

• •Modeling to identify page features and improve SERP ranking for content
• •Tracking web and LLM search ranking to learn algorithmic updates
• •Search & Generative Optimization (SEO & GEO) for on-page content refinement
• •Agentic AI workflow leveraging knowledge graph & integrated MCP tools

AI Research Assistant

UT Austin, USA & Wipro, IndiaJan 2022 - Dec 2023

• •Developing multi-modal toxicity detection models across languages
• •Organizing multi-level labeling schema for toxicity datasets
• •Ensuring fairness in performance across demographics

Imaging Intern

HomeAway (now Vrbo), Austin, USA(June - Aug) 2017

• •Implemented real-time algorithms to measure and improve image properties
• •Framework deployed to tag and assess all past and incoming images
• •Used AWS to score the company's images db and Mech Turk for validation

Software Intern

UT Austin, Dell Medical School(June - Aug) 2016

• •Real-time 3D image segmentation assist during facial reconstruction surgery
• •Exporting 3D models for use in various surgical planning tools and 3D printing
• •Patient-specific modeling & compliance with medical data privacy and security

University of Texasat Austin, USA

PhD in Computer Science

• •Research on scalable Machine Learning algorithms and Neural Network design
• •Content Moderation & Fairness for Group-dependent tasks
• •Advisors: Matthew Lease & Maria De-Arteaga

University of Texasat Austin, USA

MS in Computer Science

• •Specialized in Machine Learning for Computational Sciences
• •Fast pipelines for biopsy analysis using Hyperspectral Imaging
• •Advisor: Chandrajit Bajaj

IIT Kharagpur, India

MTech in Electronics & Electrical Engg.

• •Specialized in Computational Imaging & Embedded Systems
• •Computational Saliency Models & Parallel Programming
• •Advisor: Jayanta Mukhopadhyay & Ritwik K. Layek