Summary
Hitesh Saini is a quantitative researcher and software engineer based in Bengaluru with a decade of experience building data-driven systems for finance and industry. An IIT Kharagpur dual-degree graduate in aerospace engineering, he combines strong programming skills (Python, C++, C#, MySQL, JavaScript) with hands-on ML and signal-processing experience from projects ranging from sleep-apnea detection with LSTM to real-time video facial analysis. After technical roles at Morgan Stanley and UST Global, he progressed through analytics and AVP roles at HSBC and now contributes quantitative research to MUFG’s Fixed Income e-trading team. He has a track record of building visualization tools, low-latency integrations and applied ML prototypes, and was elected to student governance at IITK—evidence of both technical leadership and cross-functional collaboration. Notably, his background spans both algorithmic research and production engineering, making him adept at turning research insights into robust trading and analytics systems.
10 years of coding experience
4 years of employment as a software developer
Basic Skills and Class X/XII, C.B.SE(Central Board of Secondary Examination), Science, Class X- CGPA 10 and Class XII- 91.8%, Basic Skills and Class X/XII, C.B.SE(Central Board of Secondary Examination), Science, Class X- CGPA 10 and Class XII- 91.8% at DMA III
Bachelor and Masters of Technology ( Hons.) Dual Degree Course, AEROSPACE ENGINEERING, Bachelor and Masters of Technology ( Hons.) Dual Degree Course, AEROSPACE ENGINEERING at Indian Institute of Technology, Kharagpur
English, Hindi