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AI Engineer ✨
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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.