Pawan Singh

Product Manager

Mumbai, Maharashtra, India2 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Expert in building low-latency trading systems.
Proficient in high-performance data storage solutions.
Strong background in algorithmic trading infrastructure.

Stackforce AI infers this person is a Fintech expert specializing in algorithmic trading systems and high-performance infrastructure.

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Skills

Core Skills

GolangNode.jsReact.js

Other Skills

.NET FrameworkANSYSAWS LambdaApache KafkaAutoCADAutoCAD MechanicalAutodesk InventorBack-End Web DevelopmentBusiness DevelopmentCATIAComputer-Aided Design (CAD)Continuous Integration and Continuous Delivery (CI/CD)CreoCreo ParametricData Structures

About

I’m a dedicated Algo Developer with expertise in building high-performance trading systems designed for low-latency environments. My work focuses on creating scalable infrastructure, enabling seamless execution of high-frequency trades using Golang, Python, Node.js, React.js, Next.js, and Linux. Working with on-premise servers, I’ve developed robust backend systems, real-time monitoring dashboards, and reliable data pipelines to support algorithmic trading at scale. Proficient in database technologies like PostgreSQL and MongoDB, I ensure optimal performance and data integrity even under high load conditions. With a passion for solving complex challenges in the fast-paced world of financial markets, I thrive in environments requiring innovation, precision, and technical excellence. Let’s connect to discuss how I can bring value to your team!"

Experience

2 yrs 7 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 11 mos

Current Experience

Anand rathi share and stock brokers ltd

Algo Developer

Jul 2024 – Present · 1 yr 11 mos · Mumbai, Maharashtra, India · On-site

Responsibilities:
1) Built low-latency, high-throughput trading systems using Golang and Node.js, enabling seamless execution of high-frequency trades worth crores.
2) Designed and optimized backend systems for algorithmic trading, ensuring scalability and fault tolerance on on-premise server infrastructure.
3) Developed intuitive, real-time dashboards for live trade monitoring using React.js and Next.js.
Leveraged PostgreSQL and MongoDB for high-performance data storage and retrieval, ensuring consistency and reliability.
4) Implemented robust risk management systems to mitigate trading risks during volatile market conditions.
5) Maintained and optimized trading systems on Linux-based environments, ensuring maximum uptime and low-latency trade execution.
Key Achievements:
1) Reduced trade execution latency to sub-millisecond levels, significantly improving performance.
Engineered a resilient infrastructure capable of handling millions of transactions daily on on-premise servers without performance degradation.
2) Collaborated closely with quants and traders to backtest and deploy profitable trading strategies.