Harsh Tirhekar — Product Engineer
Quantitative Developer and Data Scientist with hands-on experience in low-latency trading systems, statistical modeling, and AI-driven analytics. Skilled in Python, C++, Java, and cloud infrastructure (AWS, SAP BTP). Built and deployed full-stack solutions at SAP Labs and Sectional Capital, specializing in automated trading, federated learning, and scalable APIs. Passionate about financial engineering, machine learning, and solving real-world problems at the intersection of tech and finance. Always open to new challenges and collaborations.
Stackforce AI infers this person is a Fintech expert with strong capabilities in quantitative analysis and algorithmic trading.
Location: Bengaluru, Karnataka, India
Experience: 1 yr 9 mos
Skills
- Java
- Sap Btp
- Algorithmic Trading
- Quantitative Finance
- Portfolio Management
- Api Development
- Web Application Development
Career Highlights
- Expert in low-latency trading systems and quantitative finance.
- Proficient in Python, C++, and cloud technologies.
- Passionate about financial engineering and AI-driven analytics.
Work Experience
SAP
Associate Application Engineer (4 mos)
Developer Associate (4 mos)
Sectional Capital
HFT Quant Developer (7 mos)
SAP Labs India
Software Development Engineer (IXp) (2 mos)
WorldQuant
Quantitative Research Consultant (6 mos)
Education
Master of Science - MS at The University of Texas at Austin
Bachelor of Technology (B.Tech) at Indian Institute Of Information Technology Allahabad
Intermediate (12th) at Rao Junior College of Science ,Pune
High School (10th) at MMEMPS Pune
Master of Business Administration - MBA at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Master of Science - MS at College of Natural Sciences, The University of Texas at Austin