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AI and ML enthusiast
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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.