I am a passionate Software Engineer with a diverse skill set, currently pursuing an MS in Computer Engineering at New York University. My academic journey includes a B.Tech in Computer Science and Engineering from The LNM Institute of Information Technology in Jaipur, India. In my professional career at Samsung Research Institute, I held roles as a Software Engineer and later as a Lead Software Engineer.
My expertise spans a range of technologies, from C/C++, Java, and Python programming languages to frameworks like Android, Flask, and PyTorch. Additionally, I am well-versed in database management with MySQL, SQLite, MongoDB, and Apache Hive. My recent academic endeavors at New York University involve cutting-edge projects in machine learning, such as Crypto Pump & Dump Schemes Detection and Efficient Video Encoding with Implicit Neural Representation.
Beyond my technical skills, I have received recognition for my outstanding contributions, including the Best Project Award for the AT&T Numbersync project and the Employee of the Quarter Award at Samsung. I am driven by a curiosity for the latest advancements in technology and a commitment to solving real-world challenges through innovative solutions.
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