About

Palash Aggrawal is a multi-talented software engineer with a passion for learning, research, and social good. With 3.36 years of relevant experience, he is currently working as an Analyst in Marquee Engineering at Goldman Sachs. Palash has a diverse range of skills and interests, including full-stack development, Android development, quantum computing, astronomy, and martial arts. Palash's main research interests are in deep learning, computer vision, and natural language processing, with a focus on using these technologies for social good. He has worked on several projects related to NLP applications for domestic abuse, computer vision for detecting poachers in wildlife surveillance, and a universal EEG encoder for learning diverse intelligent tasks. Palash has also developed an interest in quantum computing and quantum cryptography. In addition to his technical skills, Palash is also a musician, spiritual seeker, and social volunteer. He believes that education is the key to bringing positive change to society and tries to do his part to make the world a better place. Palash has worked as a developer, product manager, and project mentor, and was involved in the design, development, and user analytics of a content app called "Spiritual Awareness." He has also worked as an undergraduate researcher at Indraprastha Institute of Information Technology, Delhi, where he worked on NLP applications for pattern analysis in the domain of domestic abuse and developed an application called SPOT that augments conservation drones with the ability to automatically detect poachers and animals in near real-time. Palash holds a Bachelor of Technology (BTech) in Computer Science from IIIT Delhi and has a strong technical skillset, including experience with research, Android development, computer vision, NLP, product management, web development, machine learning, deep learning, and more. He is proficient in several technologies, including Elastic Search, AWS, CNN, Image Processing, Scikit, Big Data, Kubernetes, Docker, MongoDB, Kafka, Redux, Microservices, Flask, and Pytorch.