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Founder & CEO at Fibonauti Technologies Pvt. Ltd.
Algo trading market is growing ever since the emergence of new age brokerage firms who introduced trading API's. But there is lot of noise in this segment. Be it service providers or retail consumers. Unfortunately this happens to be the most un-organized sector which is emerging like never before. At FIBONAUTI, we are pioneering to build solutions to simplify the real quantitative trading ideas for the derivative market with a scientific and mathematical mindset. Our approach is to streamline this segment into a mini Hedge Fund market with scientifically accountable ideas, keeping the limitations of the retail customer abilities for fund deployments, and working with less complicated deployable models unlike Hedge Funds. Feel free to reach out to us, if you are a 1. Regulatory body in the financial markets 2. Brokerage firm who wants to understand how we can collaborate 3. Algo service provider, who wants to streamline this un-organized algo trading market Reach out to us at contact@fibonauti.com, Regards, Shivaramakrisha D. Founder & CEO at Fibonauti Technologies Pvt. Ltd.
Deep Learning
Deep Learning, Machine Learning
January 1, 2017 – January 1, 2018
MIT OpenCourseWare: Statistics and Probability
Applied Statistics
January 1, 2016 – January 1, 2016
MIT Linear Algebra
Linear Algebra
January 1, 2016 – January 1, 2017
CBIT, Osmania University.
B.E., Computer Science
January 1, 2000 – January 1, 2004
Fibonauti Technologies Pvt. Ltd.
Founder & CEO
November 1, 2024 – Present
Hyderabad, Telangana, India
Self-employed
Quantitative Algorithmic Trader & Investor
May 1, 2020 – December 1, 2024
Hyderabad, Telangana, India
OpenText
Data Scientist
January 1, 2019 – May 1, 2020
Hyderabad Area, India
Prototype building project
Coder
September 1, 2017 – January 1, 2019
Hyderabad Area, India
Verizon Data Services
Sr Consultant, Data Science
November 1, 2015 – September 1, 2017
Hyderabad Area, India
Siemens Technology & Services Pvt Ltd
Data Scientist
November 1, 2014 – June 1, 2015
Bangalore
Wipro Technologies
Data Mining Professional
April 1, 2013 – November 1, 2014
Bangalore
Impetus Infotech India Pvt. Ltd.
Big Data & Machine Learning Professional
February 1, 2012 – April 1, 2013
Bangalore
SAP Labs
Principal Software Engineer
March 1, 2007 – February 1, 2012
Bangalore
Cultural Fit Analysis
The candidate has a diverse career path, including roles in large corporations (Wipro, Siemens, Verizon, OpenText, SAP Labs) and self-employment as a quantitative trader, as well as founding a company. This indicates a blend of corporate experience and entrepreneurial spirit. The transition to quantitative trading and founding a company suggests a preference for autonomy and high-impact roles. The target role of 'Data Analyst' might be a step down in terms of complexity and autonomy compared to previous roles like 'Data Scientist' or 'Quantitative Algorithmic Trader', which could impact cultural fit if the role does not offer sufficient challenge or growth opportunities. The lack of specific project details makes it hard to assess alignment with collaborative team environments.
Soft Skills & Operational Fit
The candidate's career progression from software engineering to data science and then to quantitative trading demonstrates adaptability and a strong drive for continuous learning. The entrepreneurial role as Founder & CEO also suggests leadership and initiative. However, without specific project details or descriptions of collaboration, it is difficult to fully assess operational fit and soft skills beyond what can be inferred from role titles.