Kartikeya Gupta

CEO

London, England, United Kingdom9 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Senior Vice President at D. E. Shaw Group.
Expertise in discretionary strategies and quantitative development.
Proficient in multiple programming languages including C++, Python, and Java.

Stackforce AI infers this person is a Fintech expert with strong quantitative and software development skills.

Contact

Skills

Core Skills

Software Development

Other Skills

PythonJavaBashLaTeXGitArtificial IntelligenceC#OpenCVAndroid DevelopmentSMLMatlabMicrosoft OfficeOpenGLWindows Store AppsWindows

About

I work as a developer/quant hybrid with discretionary strategy groups at D. E. Shaw & Co such as fundamental equities, credit and ABS. I have graduated from IITD with a bachelors of technology in computer science and specialization in graphics and vision. I am also a full stack engineer with special interest in Numerical Optimizations, Computer Vision and Algorithms. I am proficient in C++, C and Python.

Experience

9 yrs 9 mos

Total Experience

4 yrs 10 mos

Average Tenure

8 yrs 11 mos

Current Experience

The d. e. shaw group

3 roles

Senior Vice President

Promoted

Dec 2025 – Present · 5 mos

Discretionary strategies like fundamental equities, corporate credit, asset backed securities.

Vice President

Promoted

Dec 2021 – Dec 2025 · 4 yrs

Discretionary strategies like Fundamental Equities, M&A, Converts and Credit.

Software Developer

Jun 2017 – Dec 2021 · 4 yrs 6 mos

Discretionary Strategies like Long/Short equities and merger arbitrage.

Indian institute of technology, delhi

Convener at Computer Science Department

Jul 2016 – May 2017 · 10 mos

Representative for students of computer science department for the academic year 2016-2017.

Google

Software Engineer Intern

May 2016 – Aug 2016 · 3 mos · Mountain View, CA

Intern on Tango Factory Calibration team. Work done covered:
1) Developed a tool to visualise statistics and flag outliers on multiple calibration datasets.
2) Collected more than 2000 datasets on tango devices to obtain insights into the calibration pipeline.
3) Developed a script to control the entire calibration sequence for a device including robot motion, device capture and data processing.
4) Incorporated G-Sensitivity in the IMU Model for Tango to improve calibration and motion estimates. Performed multiple experiments to validate improvements in overall results of position and orientation estimates.