Suyash Sachdeva

About Suyash Sachdeva

I am a passionate Deep Learning Researcher with a strong background in electronics, neural networks, and AI-driven solutions. Currently pursuing an integrated B.Tech and M.Tech in Electronics and Communication Engineering at NIT Hamirpur, I specialize in applying advanced deep learning, computer vision, and sequential modeling techniques to solve challenging real-world problems. During my research internship at BIT Sindri, I developed new architectures and training methods to enhance the accuracy and robustness of material defect classification models, and proposed ML-ensemble solutions for adversarial noise detection. My industry experience at Oculosense involved leading deep learning projects for facial recognition and voice-controlled pipelines, driving efficiency gains and robust model deployment. My research contributions include papers under review in top journals (Springer, Elsevier) on topics such as adversarially robust classification of metallurgical microstructures and novel neural architectures for medical diagnosis and image steganography. I am skilled in PyTorch, TensorFlow, Torchdyn, and modern MLOps tools, and have built projects from COVID-19 audio screening to deep learning-powered medical imaging platforms. Beyond research and technical work, I have strong leadership experience, having organized and managed large-scale hackathons and technical events. I am always eager to collaborate, contribute, and drive impact in cutting-edge AI and ML domains. Skills: Neural Networks | Machine Learning | Computer Vision | Adversarial Attacks | GANs | One-Shot Learning

Experience

1. Computer Vision Intern

   Arcturus Business Solutions Pvt Ltd

   Jul 2025 — Present · Noida, IN

Education

• National Institute of Technology Hamirpur

  Dual Degree

  2020 — 2025

• Christ Church Boys' Senior Secondary School

  Secondary Education

  2016 — 2018

• Christ Church Boys' Senior Secondary School

  Higher Secondary Education

  2018 — 2020