Aman Agrawal, CQF — Product Engineer
Stackforce AI infers this person is a Fintech and AI specialist with strong quantitative and software engineering skills.
Location: New Delhi, Delhi, India
Experience: 7 yrs
Skills
- High-frequency Trading
- C++
- Financial Engineering
- Quantitative Finance
- Distributed Systems
- Python
- Applied Machine Learning
- Data Engineering
- Data Preparation
- Neural Networks
- Software Development
- Etl Tools
Career Highlights
- Designed a high-frequency trading platform with 20 µs latency.
- Developed chatbots automating 1500+ conversations daily.
- Achieved 90% accuracy in sarcasm detection using LSTM.
Work Experience
Shri Parasram Holdings P Limited
Quantitative Developer (3 yrs)
Goldman Sachs
Associate Software Engineer (1 yr 6 mos)
Ascendo AI
Data Science Intern (2 mos)
Illinois Institute of Technology
Research Assistant (7 mos)
NatWest Group (formerly RBS)
Software Engineer (1 yr 1 mo)
Analyst (10 mos)
Smart Joules
Android Developer and Data Analyst Intern (1 mo)
DawaiLelo.com
Android Developer Intern (1 mo)
Education
Certification in Quantitative Finance at CQF Institute
Master's degree at Illinois Institute of Technology
Bachelor of Technology - BTech at Delhi College of Engineering
High School at Somerville School, Vasundhra Enclave, Delhi-110096