Shubhayu Brahmachari — Co-Founder
I am a Mathematics and Computing student at RGIPT, deeply passionate about the intersection of quantitative finance, machine learning, and cybersecurity. Building on my recent rigorous training at ISI Kolkata's Winter School on Data Science and Machine Learning (WSDL 2026), I am constantly expanding my analytical toolkit. My work bridges theoretical mathematics with practical financial engineering. Currently, I am applying geometric deep learning to model systemic risk, engineering robust options pricing engines using advanced stochastic models, and developing low-latency, post-quantum cryptographic solutions for high-frequency trading. I am driven by the challenge of leveraging interdisciplinary tech and finance skills to innovate within market microstructure.
Stackforce AI infers this person is a Fintech professional with strong skills in quantitative analysis and machine learning.
Location: Greater Delhi, India
Experience: 1 yr 4 mos
Skills
- Strategic Communications
Career Highlights
- Passionate about quantitative finance and machine learning.
- Developing post-quantum cryptographic solutions.
- Bridging theoretical mathematics with financial engineering.
Work Experience
IEEE RGIPT Student Branch
Co Head (6 mos)
Executive (7 mos)
E-CELL, RGIPT
Executive (8 mos)
Education
Bachelor of Technology - BTech at Rajiv Gandhi Institute of Petroleum Technology (RGIPT)
Winter School on Machine Learning at Indian Statistical Institute, Kolkata
Semiconductor Manufacturing Technology at Indian Institute of Science (IISc)
High School Diploma at Delhi Public School Noida
