People / Students / Class of 2024
Ayush’s educational background demonstrated a strong foundation in Electronics and Communication Engineering, earning a Bachelor of Technology from Motilal Nehru National Institute of Technology, with an outstanding CGPA of 9.2. Ayush proved his technical capabilities through various academic projects, including the implementation of a Message Queue system with Python, SQLite, and Jenkins, and the development of an AI-based Brain Tumor Detection network utilizing Densenet-121 architecture and MRI scans with Python, Keras, and OpenCV etc. In the professional realm of 2 years, Ayush held the position of Senior AI Engineer at Sixsense Pvt. Ltd., where he showcased exceptional leadership skills. As a leader, he spearheaded the Data Science division, delivering multiple proof-of-concepts (POCs) and a production system for clients across APAC and Europe. His responsibilities spanned Data Science delivery, MLOps Pipeline, and E2E Stakeholder Management. Ayush's leadership qualities were evident in his ability to engage and manage stakeholders effectively, ensuring seamless project execution and client satisfaction. Moreover, he played a pivotal role in team-building, successfully hiring and onboarding 5+ data scientists and interns, fostering a collaborative and productive work environment. Additionally, Ayush's proficiency in automation, ML infrastructure, and key techniques like Attention and Open Set learning led to remarkable achievements, including a 93% automated production workflow for 40+ use cases and a 5x cost reduction on AWS. His ability to strategize and implement advanced technologies drove significant advancements in the live inspection platform, which enabled auto-scalable and cost-optimized inspection of 100k images per day. Ayush's technical skills extended to driving feature engineering and leveraging AWS services like Sagemaker, Fargate, ECS, EC2, EFS, and S3, contributing to the organization's success in deploying cutting-edge solutions. During his tenure as a Machine Learning Intern at Niramai Healthcare Analytics, Ayush’s technical capabilities were further honed, as evidenced by the development of an algorithm for Covid-19 detection from lung X-ray images with an accuracy of over 80%. He employed DenseNet-121 and SVM with the rbf kernel to design a two-stage classification network, showcasing his skills in AI modeling. Additionally, Ayush's research internship at Indian Institute of Technology, BHU, reflected his expertise in computer vision-based generative approaches for face de-identification and his contributions to improving deep learning-based image de-noising algorithms through the introduction of the novel Canny Loss function. Ayush’s impressive research contributions were documented through publications in prominent conferences and workshops. He co-authored works on Gait Recognition, Privacy Preservation through Facial De-Identification, and Image Enhancement and De-Noising. Ayush's technical skills encompass a wide array of programming languages, frameworks, tools, and platforms, including Python, C++, SQL, Scikit, TensorFlow, Keras, Django, Flask, Pytorch, Kubernetes, Docker, GIT, PostgreSQL, MySQL, SQLite, Linux, Web, Windows, Arduino, Raspberry, AWS, and GCP. Ayush's achievements, leadership, research, and technical prowess demonstrated his versatility and proficiency in the field of technology, making him an exceptional candidate for any challenging role.
