About

Samanvya Tripathi is a highly skilled and motivated Machine Learning Engineer actively seeking Summer 2023 Internships. She is currently pursuing her CS Grad ‘24 degree at Northeastern University and has won the HackHarvard '22 competition. With 2.86 years of relevant experience, Samanvya has worked on various projects related to Machine Learning Operations and has a strong background in AI, ML, Deep Learning, AWS, Object detection, Sagemaker, Object Detection, Python, Azure, Docker, Search, Flask, Software Engineer, Android, Javascript, Mobile, and Web technologies. Samanvya is currently working as an AI Intern at edgeneural.ai, where she has designed and developed an Android application that uses Augmented Reality Core (ARCore) library for a POC in the retail industry. She has also developed the Optimization-API used by ENAP Studio, which handles incoming optimisation requests and starts the device-specific DL model optimization using Python, boto3, flask, and docker. Samanvya has performed training and optimization of existing SOTA Object Detection Models (SSD7) using Optuna and has researched effective Neural Architecture Search (NAS) frameworks like ‘Once-For-All’ to find and train the most optimum architecture given latency constraints. In her previous role as a Product Engineer - AI and Deep Learning at myelin foundry, Samanvya developed and evaluated novel Super-Resolution (SR) Deep Learning (DL) Model architectures for low compute mobile devices, which improved quality (VMAF, PSNR, SSIM metrics) and performance (fps). She also designed and developed an internal Machine Learning(ML)-Operations pipeline with a central dashboard to track and compare ML/DL experiments and archive its metadata on Azure Cloud Storage, thereby eliminating any possible human error while recording experiments. Samanvya automated and simplified repetitive tasks with Python, Bash, and containerized applications, which decreased model development life-cycle by 40%. Samanvya holds a Bachelor's degree in Computer Science from SRM University and has completed Higher Secondary (12th) from FIITJEE and Higher Secondary from Bharatiya Vidya Bhavan's Public School, Jubilee Hills, Hyderabad. She has a strong TechStack background in AI, ML, Deep Learning, AWS, Object detection, Sagemaker, Object Detection, Python, Azure, Docker, Search, Flask, Software Engineer, Android, Javascript, Mobile, and Web