Shubham Ghelani

Software Engineer

Rajkot, Gujarat, India3 yrs 9 mos experience

Key Highlights

Expert in building scalable backend systems.
Proven track record in low-latency trading systems.
Strong foundation in distributed systems and backend architecture.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and scalable system architecture.

Contact

ghelanishubham@gmail.com LinkedIn

Skills

Core Skills

C++Low Latency TradingSystem DesignPythonBackend Development

Other Skills

Android DevelopmentAndroid SDKApache KafkaApplication Programming Interfaces (API)BashBlockchainBoost C++Bootstrap (Framework)C (Programming Language)Cascading Style Sheets (CSS)CommunicationCompetitive ProgrammingComputer ScienceData structures and AlgorithmsDeep Learning

About

I'm a Software Engineer focused on building scalable, efficient, and reliable backend systems. My strengths lie in problem-solving, system design, and writing high-performance code using C++, Java, and Python. I’ve worked across low-latency trading systems and large-scale backend platforms, giving me a strong foundation in both performance-critical and product-oriented environments. I value clean code, thoughtful design, and engineering with purpose. I'm deeply interested in distributed systems, backend architecture, and building tech that scales well and lasts. I believe in constant learning and love tackling challenging problems — whether through work, side projects, or simply exploring new tools and ideas. Always happy to connect with fellow engineers, builders, or anyone passionate about technology and learning.

Experience

3 yrs 9 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 2 mos

Current Experience

Spotnana

Software Engineer

Apr 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

Building backend systems at Spotnana, contributing to the next generation of travel infrastructure.

39k group

Software Engineer

May 2024 – Mar 2025 · 10 mos · Gurugram, Haryana, India · On-site

Developed and optimized low-latency C++ trading systems for Bybit, Coins.ph, and other exchanges, implementing
cross-market hedging strategies and enhancing real-time market data processing and order execution.
Redesigned the Index Server into a multi-process system with customizable shared memory and implemented modes
for socket-based data transfer and compressed data storage, improving flexibility and scalability.
Built unified gateways, dynamic local order books reducing exchange queue times, and advanced features like
conditional orders and TP/SL, achieving up to 40% performance gains and reducing latency by 4.2%.
Developed an Authentication system for QuestDB UI using Python and Flask, creating middleware and leveraging
Nginx as a reverse proxy for secure access control.

C++Low Latency TradingPythonFlaskNginx