Aarya Patel
AI and MLAI and ML enthusiast
IIITDelhi
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and ML enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIITDelhi
AI and ML
June 15, 2026 – Present
sn-nir
May 14, 2024 – May 26, 2025
(I3D 2025) Normal-guided Detail-Preserving Neural Implicit Function for High-Fidelity 3D Surface Reconstruction [Proceedings of the ACM in Computer Graphics and Interactive Techniques (PACMCGIT)]
View ProjectHippocampal-Volume-Quantification-in-Alzheimer-Progression
August 8, 2020 – August 8, 2020
Built an end-to-end AI system which features a deep learning algorithm that integrates into a clinical-grade viewer and automatically measures hippocampal volumes of new patients, as their studies are committed to the clinical imaging archive.
View ProjectPneumonia-Detection-From-Chest-X-Rays
July 27, 2020 – July 27, 2020
Assisting a radiologist in classifying a given chest x-ray for the presence or absence of pneumonia using Deep Learning.
View ProjectPatient-Selection-for-Diabetes-Drug-Testing
July 14, 2020 – July 14, 2020
Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.
View ProjectMotion-Compensated-Pulse-Rate-Estimation
July 6, 2020 – October 3, 2021
Built an activity-aware pulse rate estimation using PPG and Accelerometer sensors.
View Projectslam_rtab_ros
July 1, 2020 – July 1, 2020
Creating a 2D occupancy grid and 3D octomap from a simulated environment using a robot with the RTAB-Map package
View Projectamcl_obstacle_avoidance_ros
June 30, 2020 – July 1, 2020
Utilized ROS AMCL package to accurately localize a differential-drive robot inside a map in the Gazebo simulation environments and avoided obstacles using DWA local planner.
View ProjectHistopathological-Cancer-Detection
March 27, 2020 – February 12, 2021
Created an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data used for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset.
View ProjectImage-Compression-using-Huffman-Coding
August 17, 2019 – April 7, 2020
Created a new compressed bitmap format .cmpbmp to compress 24 bit bitmap files using Huffman compression algorithm.
View Projectdrone_controls
August 10, 2019 – April 3, 2020
ROS package for using steering angle and collision probability predicted via pre-trained ResNet model for drone navigation using ROS Kinetic in Gazebo 3D environment.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest and capability in AI/ML, aligning well with the target role. However, the projects are predominantly personal and academic, with only one listed professional experience (IIITDelhi, AI and ML, current). This suggests a potential lack of diverse team collaboration or industry-specific project experience, which might impact cultural fit in a fast-paced, collaborative industry setting. The breadth of skills is good within the AI/ML domain, but the lack of completed tests makes it difficult to assess practical application beyond project descriptions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and ability to execute complex AI/ML tasks independently.