Mohit Yadav

Software Engineer

Bhopal, Madhya Pradesh, India2 yrs 4 mos experience

Highly Stable

Key Highlights

Over 2 years in ultra-low-latency trading systems.
Expertise in C++17/20 and performance optimization.
Contributed to Deutsche Börse T7 Trading Platform.

Stackforce AI infers this person is a Fintech professional specializing in ultra-low-latency trading systems.

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Skills

Core Skills

Ultra Low LatencyC++

Other Skills

Algorithm AnalysisAlgorithm DesignAlgorithm OptimizationAlgorithmsBitwise OperationsC (Programming Language)Cascading Style Sheets (CSS)CodechefCommunicationCompetitive ProgrammingConcurrencyData StructuresDebuggingDebugging CodeDerivatives Trading

About

Over 2 years of hands-on experience in modern C++ (C++17/20) development focused on ultra low-latency trading systems. Currently contributing as a System Engineer at Tata Consultancy Services, working on the Deutsche Börse T7 Trading Platform. Skilled in ultra-low latency systems, high-frequency trading (HFT), and performance optimization. Recent efforts include optimizing order book operations, enhancing market data processing, and leveraging concurrency to improve real-time data handling. Driven to advance in the domain of electronic trading platforms.

Experience

Tata consultancy services

2 roles

System Engineer | TCS (Deutsche Börse – T7 Trading Platform)

Aug 2023 – Dec 2025 · 2 yrs 4 mos · Mumbai, Maharashtra, India

Developing ultra-low-latency trading systems using Modern C++ (C++17/20), multithreading, and lock-free data structures on Linux.
✅ Market Data Processing: Worked on the Eurex T7 EOBI (Enhanced Order Book Interface) and MDI (Market Data Interface) to handle high-frequency market updates with ultra-low latency.
✅ Order Book Management: Optimized order book handling.
✅ Low-Latency Optimizations: Improved order processing efficiency using bitwise operations and memory-efficient data structures.
✅ FAST Protocol Parsing: Worked on FAST encoding and decoding to optimize market data handling and minimize processing delays.
✅ Concurrency & Multi-Threading: Implemented multi-threaded data processing pipelines to handle real-time data feeds with minimal locking overhead.
✅ Performance Tuning: Analyzed system bottlenecks using profiling tools (perf, VTune, gprof) to optimize data structure access patterns and CPU cache utilization.
✅ High-Performance Networking: Worked with low-latency TCP/UDP socket programming for market data transmission.
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