Aadhunik Sharma
Quantitative Developer | Financial Engineering, Computer Science
- Role
- Quantitative Developer at Quan Algorithms
- Location
- Winchester, KY, US
- LinkedIn followers
- 500 followers
About Aadhunik Sharma
At Quan Algorithms, contributed to the design and development of advanced quantitative trading systems, leveraging expertise in Python, C#, and C++. Integrated machine learning techniques to implement anomaly detection strategies and optimize trading performance across Forex, Futures, Options, and Cryptocurrency markets. Developed real-time dashboards using Plotly and InfluxDB, enabling data-driven decision-making. Holds an M.Sc. in Financial Engineering from WorldQuant University and a B.Tech. in Computer Science from Sant Longowal Institute of Engineering & Technology. Core competencies include quantitative research, machine learning, and algorithmic trading. Committed to delivering innovative solutions that enhance trading efficiency and client satisfaction.Check out my projects and portfolio at http://aadhuniksharma.github.io
Experience
Quantitative Developer
May 2020 — Present · IN
Developed and managed advanced quant trading systems, focusing on innovative trading technologies and strategy implementation using Python, C#, and C++. Designed anomaly detection strategies leveraging machine learning to identify irregular trading patterns. Earned recognition for delivering successful solutions and achieving high client satisfaction. Integrated machine learning techniques to optimize trading performance across multiple markets, including Forex, Futures, Options, and Cryptocurrency. Utilized C++ for low-latency computations and C# for building robust trading applications. Integrated visual dashboards using Plotly, Bokeh, and InfluxDB to present insights, enabling real-time decision-making.
Education
Sant Longowal Institute of Engineering and Technology
Bachelor of Technology
2015 — 2019
WorldQuant University
Master of Science (M. Sc.)
2019 — 2021
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.