• 📧 spl.acharya@outlook.com | https://www.linkedin.com/in/splacharya/ | St. Cloud, MN
• 🤔 I’m looking for Full time opppurtunities On Distributed Systems, Machine Learning and Embedded Systems.
• 💬 Ask me about Distributed Systems / Machine Learning / Embedded Systems

I love programming , be it software or hardware. I am currently pursuing Master’s degree in Computer Science.

In my graduate school coursework, I enjoyed distributed systems programming the most. Outside of college and work, I am doing certifications and projects to learn how Machine Learning can be used to solve problems in Computer Vision and Natural Language Processing areas.

As part of my master’s degree, I am currently researching Automated text summarization using natural language processing techniques and machine learning algorithms.

Currently I work at Eden Medical, Inc as a software engineer for computer vision applications, where I am developing containerized systems for medical image (diabetic foot ulcers) analysis which is deployed on edge device (jetson nano). This includes use of tools such as ImageJ, open-cv (for image processing), tensorflow-Keras (for object-detection, landmark detection and semantic segmentation) and docker for containerized deployment.

I am also quite familiar with embedded systems as well. As part of my undergraduate computer engineering program, I have developed several systems that use Microcontrollers, FPGA and SOC. Most of my embedded systems projects focused on developing digital signal processing applications.

• Research (current): Automated text summarization using NLP and unsupervised machine learning algorithms

• Honors: Magna Cum Laude
• Capstone Project: American Sign Langauge Letter Transalator

• Deep Learning Specialization: Neural Nets, Hyperparameter Tunning, Convolutional NNs, Recurrent NNs and Sequence Modelling.
• Machine Learning Specialization: Regression, Regularization, Classification and Clustering.
• Getting Started with AI on Jetson Nano
• FPGA Design for Embedded Systems

• Accelerated image processing pipeline used for segmentation of diabetic foot ulcer wound images by more than 80% by replacing PyImageJ APIs for color space conversion, gaussian blurring, contour detection and flood fill with similar OpenCV APIs.
• Implemented a guidance system for contour selection in thermal images, by visualizing thermal data using K-Means clustering algorithm from Scikit-Learn library.
• Reduced time taken to generate medical image analysis by more than 50% by incorporating image processing operations of ImageJ and matrix manipulation capabilities of MATLAB into a single GUI application built using TKinter, OpenCV, NumPy and Python.
• Enforced portability on 3 out 4 applications used in IR-Eyes medical device, by deploying applications within jetson nano modules in GPU optimized docker containers hosted in Nvidia’s Cloud.
• Analyze weekly thermal imaging data from patients using image analysis GUI and then update weekly patient wound documentations.
• Implemented deep learning algorithms by leveraging TensorFlow and Keras for object, landmark detection and semantic segmentation of thermal wound images using pretrained convolutional neural networks and U-Net architecture respectively.

• Mentored students on concepts of data structures, algorithms, and distributed systems programming.
• Provided weekly in-depth feedback for 40-60 students on their programming assignments which involved concepts such as Linux system calls, thread synchronization and socket communication.

• Promoted academic and personal success of 20-40 students by implementing weekly campus resource awareness events.
• Implemented weekly social and recreational events by collaborating and communicating with on campus organizations.

• Supervised 10-15 diverse student employees by scheduling staffing responsibilities, preparing payroll reports and in person meetings.