About

Sarv Shakti Singh is a highly skilled Quantitative Developer with over 5 years of relevant experience in the finance tech industry. He is currently working at qnance research capital llp where he is utilizing his expertise in developing quantitative models and algorithms for financial analysis. Sarv started his career as a Software Developer Intern at UnitedHealth where he developed an in-house proprietary tool that converted incoming Advanced Function Presentation (AFP) files into corresponding data (PDF) and metadata (XML) files. He implemented Structured Fields (SFs) parsers and exception handlers in Java and upgraded XM/DM to ingest files by running parallel threads on all servers. This resulted in an improvement of more than 200% in execution time with lossless conversion. After his internship, Sarv worked as a Platform Engineer at SMC Financial where he gained experience in search and software engineering. He then joined qnance research capital llp where he has been working as a Quantitative Developer and has been involved in developing and implementing quantitative models and algorithms for trading strategies. Sarv holds a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from the National Institute of Technology Hamirpur. He is highly skilled in Python, Java, C++, and has experience in infrastructure and research scientist roles. Sarv is passionate about his work and enjoys gaining experience in the finance tech industry. He is a quick learner, a problem solver, and is always looking for new challenges to tackle.