About

Rahul Dugar is a highly skilled Quant Trader and ICPC World Finalist for 2020 and 2021. He is currently studying Computer Science and Engineering at IIT Roorkee and is passionate about quantitative research and algo trading. Rahul is an active participant on competitive coding websites like codeforces.com and codechef.com, where he has achieved impressive rankings of 2820 and 2652 respectively. With a relevant experience of 2.19 years, Rahul is currently working as a Quantitative Trader at alphagrep. Prior to this, he has worked as a Programmer at programming and algorithms group, IIT Roorkee, and as a Summer Intern at Arcesium. During his internship at Arcesium, Rahul developed a Hybrid LSTM + N-gram based Natural Language Processing model using Tensorflow and integrated its API to an existing service to use inferences from the model in real-time. Rahul's educational background includes a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Roorkee. He has a strong tech stack that includes Research Scientist, n-grams, NLP, Tensorflow, and Software Engineer. Rahul is a highly motivated and dedicated professional who is always looking to expand his knowledge and skills in the field of quantitative trading and research. He is a great team player and has excellent communication skills. With his impressive achievements and skills, Rahul is a valuable asset to any organization.