Jaidev Shah

Jaidev Shah is a Computer Science undergraduate at Columbia University with a strong focus on Software Engineering, Machine Learning, and Product Management. He has gained valuable experience as an SDE intern at Amazon in 2020.

Jaidev's competencies include proficiency in various programming languages such as Python, Java, C, and C++. He is also skilled in web technologies like JavaScript, HTML, Flask, and Node.js. His expertise extends to Natural Language Processing tools like Bert, Elmo, Gensim, nltk, IBM Watson NLU, Spacy, and Vader, as well as in Machine Learning and Deep Learning frameworks like TensorFlow, PyTorch, and scikit-learn.

Throughout his academic and professional journey, Jaidev has achieved several notable accolades, including being a National Talent Search Examination (NTSE) Scholar, a RajeevCircle Fellowship recipient, a Mensa New York member, and winning various national and international competitions in technology and entrepreneurship.

Jaidev's educational background includes a Bachelor's degree in Computer Science with a Minor in Applied Mathematics from Columbia Engineering. He also excelled in high school, achieving a remarkable 95.6% in Grade 12 and a perfect 10/10 CGPA in Grade 10 (CBSE) at Udgam School for Children in India.

In terms of professional experience and affiliations, Jaidev has served in various roles such as a Graduate Teaching Assistant and Undergraduate Researcher at Columbia University. He was also a Co-Founder at TensorPlace during the Columbia-IBM Blockchain Accelerator program. Additionally, his work history includes positions at Amazon, Crest Data Systems, and Cisco, where he honed his skills in software engineering and data science.

Jaidev Shah's diverse skill set, academic accomplishments, and professional experiences reflect a well-rounded individual with a passion for technology, innovation, and learning.