Working Experience
• Machine Learning Engineer
July 2023 - Present
Rabot Inc, USA - Remote
Working as a Machine Learning Engineer and Researcher specializing in the Computer Vision domain
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Researched Deep Contrastive Learning approaches for Image Similarity Search to enhance
accuracy and efficiency utilizing metric learning techniques like siamese, proxy-anchor loss,
triplet loss.
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Developed and implemented a Hand Grasp Classification Model utilizing PyTorch and Mediapipe,
successfully classifying seven distinct hand grasps in packing station environments with an
accuracy of approximately 90%. This involved advanced video analysis techniques using large
set of video data to accurately recognize and differentiate between specific grasp types,
enhancing operational efficiency.
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Optimized the inference pipeline of the YOLOv7 object detection model through quantization for
specialized Hailo hardware, achieving real-time inference capabilities at 30 FPS. This enhancement
significantly reduced latency while maintaining requisite accuracy and confidence levels.
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Developed a ROS2 node that utilizes the lightweight ONNX runtime to enable efficient model inference in
resource-constrained environments. This node is specifically optimized for specialized NVIDIA GPUs, making
use of NVIDIA CUDA and NVIDIA TensorRT execution providers to maximize performance.
Technologies : PyTorch, Darknet, YOLOv7, ONNX Runtime, Hailo SW Suite, ROS2, GCP, Docker,
Gitlab, Python,C++, Mender, CUDA, TensorRT
• Google Summer of Code Contributor
May 2022 - Sep 2022
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During the summer of 2022, I worked under the mentorship of Weaviate engineers:
- Developed the text summarization module for Weaviate, which helps users to summarize search results.
- Created the inferencing engine using FastAPI and the Hugging Face Transformers library.
Technologies : PyTorch, Darknet, YOLOv7, ONNX Runtime, Hailo SW Suite, ROS2, GCP, Docker,
Gitlab, Python,C++, Mender, CUDA, TensorRT
• Software Engineering Intern
Dec 2021 - Sep 2022
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I contributed to the Sysco Warehouse Management System (SWMS) under the SWMS NewUI team,
focusing on modernizing the classic SWMS application:
- Fixed UI-related bugs using React JS.
- Improved the service layer performance by re-implementing logic and optimizing queries using
Java.
Technologies : ReactJs, Java, JavaScript, Git, PLSQL
• Software Engineering Intern
April 2021 - Sep 2021
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Developed a 3D image conversion system leveraging AWS lambda container image support.
Technologies : AWS lambda, AWS SQS, Docker, Python, JavaScript
