About

Priyam Garg is a passionate Research Scientist with a focus on Deep Learning for Computer Vision. He is also a skilled Flutter App Developer with experience in developing chat apps. Priyam has a Bachelor of Technology degree in Computer Software Engineering from SRM University. Priyam's interest in Machine Learning started when he realized the potential of using it to solve real-world problems in the Education domain on a global scale. He has published a research paper titled "Curriculum Augmentation Framework for Self-Supervised Learning." Currently, Priyam works as a Business Technology Associate at ZS Associates, where he maintains an end-to-end undocumented Pharma Client KPI Dashboard by performing daily ETL processes. He has also handled clients' frequent technical requests over the production system and delivered prompt solutions. In the past, Priyam has worked as an On-Board Computers Member at Team SRMSAT, where he authored the Attitude Determination Algorithm (QUEST) and explored about Real Time Operating Systems (RTOS), Kernels, System Designing, etc. He has also worked as a Member Autonomous Team at Camber Racing, where he formulated the dataset for autonomous vehicle movement and explored Machine Learning algorithms like Naive Bayes, SVM, XGBoost, etc. Priyam's tech stack includes research skills such as Supervised Learning, Reinforcement Learning, AI, NLP, TensorFlow, and PyTorch. He is also proficient in Flutter, Computer Vision, Flask, Backend, ETL, Naive Bayes, SVM, XGBoost, SQL, and Mobile. Priyam believes that research itself won't be beneficial until we can provide a medium for the world to access it, for which he thinks apps would be a great fit. He has designed a chat app called qBit to explore the possibilities of Flutter. Priyam is a risk-taker who left his consulting job to pursue his vision of research jobs in Deep Learning.