
AI Engineer ✨
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The University of Texas at Austin
AI Engineer
June 13, 2026 – Present
When-Less-is-More-InSAR-Phase-Unwrapping
March 16, 2026 – Present
Official code for "When Less Is More: Simplicity Beats Complexity for Physics-Constrained InSAR Phase Unwrapping" - Oral at ML4RS @ ICLR 2026 Workshop.
View ProjectAI-Digital-Twin
July 18, 2024 – July 19, 2024
Creating a lifelike digital twin of a public figure by generating AI-driven responses, converting them to realistic audio, and integrating them with video for seamless interaction.
View ProjectAI-based-Traffic-Management-System
April 28, 2024 – April 28, 2024
Optimizing traffic flow and reducing congestion through an intelligent traffic signal switching algorithm.
View ProjectDoc-QnA-using-Langchain
March 7, 2024 – July 5, 2024
Document QnA using Langchain is a powerful tool harnessing advanced NLP techniques for precise question answering on textual documents.
View ProjectGenius-AI-SaaS
September 2, 2023 – November 16, 2024
"Genius AI" is a creative content generation platform powered by advanced artificial intelligence, enabling users to effortlessly create images, videos, music, code, and text chat with innovative AI-driven tools.
View ProjectMushroom-Classification
August 18, 2023 – December 9, 2023
It is a Machine Learning model to classify mushrooms.
View ProjectMNPJ-Creations-eCommerce-website
March 6, 2023 – August 1, 2023
It is an e-Commerce Website built using Django.
View ProjectDSA-Solutions
November 28, 2022 – September 24, 2025
This repository comprises elegant C++ solutions for LeetCode and GeeksforGeeks questions.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning and applying new technologies, particularly in the AI domain. The diversity of AI-related projects (content generation, traffic management, digital twin, QnA, classification) suggests a broad interest within AI. However, the lack of team-based or professional project experience makes it difficult to assess collaboration and cultural integration in a corporate setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no psychometric or English test results available.