Work Experience
Machine Learning Research Assistant
Texas A&M University | June 2023 - Present
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Thesis: Novel Pooling Layer Integration in Deep Neural Networks
- Focused on improving recognition of biological and environmental textures in images
- Created "lacunarity pooling" technique for more effective pattern capture
- Collaborating with Baylor University Dr. Sayes group to apply lacunarity for lung cell SEM images
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Project: Quantitative Analysis of Primary Attribution Explainable AI (XAI) Methods
- Generated insights for selecting optimal XAI methods
- Published paper accepted at IEEE IGARSS 2023 conference
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Project: Data Analysis for Automated Plant Phenotyping
- Applied image processing techniques for plant phenotype measurements
- Implemented ML algorithms for automated image normalization, reducing processing time by 83%
- Optimized YOLOv8 model for image segmentation, achieving 93% IOU
Android Security Software Engineer
Ittiam Systems Pvt. Ltd. | September 2021 - June 2022
- Developed fuzzers for the Android Open Source Project (AOSP) using LLVM infrastructure and syzkaller
- Contributed to proactive vulnerability detection, bug identification, and memory crash detection
- Implemented static analysis rules for potential malware detection
Video Processing Research Intern
Indian Institute of Science (IISc) | May 2021 - August 2021
- Conducted experiments on H.264 rate control methods using FFMPEG on Linux
- Analyzed latency in network and video codec using UDP transmission over Wi-Fi
- Optimized bandwidth utilization and QoS factors for constant bitrate in real-time video transmission
Machine Learning Intern
EngineCAL | June 2020 - August 2020
- Developed real-time object detection system on Raspberry Pi using OpenCV and MobileNet-SSD v2 algorithm
- Implemented image processing techniques including edge detection and optimal thresholding
- Contributed to safer driving experience through pedestrian detection using Histograms of Oriented Gradients