Portfolio
I deliver practical scalable solutions, bridging theory and application, applying domain-specific knowledge to address key challenges across sectors with industry level coding and pipeline standards.
Professional Experience
Work History
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 toxicit datasets
- •Ensuring fairness in performance aceoss 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
Academic Background
Education
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
My Tools
Tech Skill Suite
Technologies that power my projects
Programming Languages
Python
C
C++
CUDA
Visual
Basic
Frameworks
Tensor
Flow
Keras
PyTorch
Dask
PySpark
Libraries
Numpy
Pandas
Scikit
Learn
Scipy
XGBoost
OpenCV
Hugging
Face
Spacy
DBMS
MongoDB
Postgres
Front-End
ReactJS
NextJS
Tailwind
CSS
HTML
LLMs & Agentic AI
Preference Tuning
MCP
LangChain/Graph
RAG
Others
Github
Rest
Docker