Utkarsh Agarwal

CEO

Hong Kong, Hong Kong7 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Proficient in C++, Python, and SQL.
Experience in developing low latency trading systems.
Passionate about innovative solutions in computer science.

Stackforce AI infers this person is a Fintech Quant Developer with strong programming and algorithmic skills.

Contact

Skills

Core Skills

Software DevelopmentAlgorithms

Other Skills

CC++CSSData StructuresGraph AlgorithmsHTMLJavaScriptLinuxPythonSQLWeb2py

About

I am currently working as a Quant Developer at Daksh, Hong Kong. I have previously worked with Adobe Systems, Bangalore for 1.5 years. I am proficient in C++, Python, HTML, CSS and Sql and have demonstrated strong programming skills at my previous workplace. I have always been very passionate about computer science and try to come up with new solutions. I look at computer science like an art rather than science and keep looking for challenging problems to work upon.

Experience

7 yrs 6 mos

Total Experience

1 yr 10 mos

Average Tenure

4 yrs 11 mos

Current Experience

Goldman sachs

electronic market making strategist

Jun 2021 – Present · 4 yrs 11 mos · Hong Kong SAR

Working on developing trading system for low latency market making to trade equities and futures in Asian markets

C++PythonSoftware DevelopmentAlgorithmsData Structures

Daksh trading

Quant Developer

Jul 2020 – Oct 2020 · 3 mos · Hong Kong

Tata institute of fundamental research

Junior Research Fellow

Oct 2018 – May 2019 · 7 mos · Mumbai, Maharashtra, India

Adobe

Software Engineer

Jan 2017 – Oct 2018 · 1 yr 9 mos · Bengaluru Area, India

Adobe

Product Development Intern

May 2016 – Jul 2016 · 2 mos · Noida Area, India

Indian institute of science

Intern

May 2015 – Jul 2015 · 2 mos · Bangaon Area, India

Worked as a research intern under Prof. Santanu Mahapatra. Designed Particle Swarm Optimization
Technique for Graph Partitioning and Mapping in C Language. Also implemented a Heuristic
function for Graph Partitioning and compared the results for different Control Flow Graphs with
other standard Algorithms. Mapping was done onto a FPGA designed by the Professor.