Ayush Ladia

CTO

Gurugram, Haryana, India11 yrs 2 mos experience

Highly Stable

Key Highlights

10+ years in high-frequency trading infrastructure.
Expert in ultra-low latency trading systems.
Led teams to optimize trading performance.

Stackforce AI infers this person is a Fintech Infrastructure Expert specializing in high-frequency trading systems.

Contact

Skills

Core Skills

Hft InfrastructureLow-latency C++High Performance Computing (hpc)

Other Skills

API GatewaysAgile DevelopmentAgile Project ManagementAlgorithmic Trading InfrastructureAlgorithmsAmazon Web Services (AWS)Analytical SkillsApache KafkaAutomation frameworksBack-End Web DevelopmentBoost C++CC++C++ ProgrammingCI/CD pipelines

About

With 10+ years of experience in high-frequency trading (HFT) infrastructure, I specialize in building ultra-low latency, high-performance trading systems that operate at nanosecond speeds. My expertise lies in: ⚡ Low-Latency C++ – Optimizing performance at the hardware and software level for speed-critical trading environments. ⚡ HFT Infrastructure – Designing and scaling resilient, high-throughput trading architectures. ⚡ Market Microstructure – Deep understanding of exchange connectivity, order book dynamics, and execution strategies. ⚡ Latency Optimization – NUMA tuning, kernel bypassing, lock-free programming, and FPGA acceleration. ⚡ Python for Trading – Automating trading infrastructure, data pipelines, and risk management. I have played a pivotal role in building and optimizing trading infrastructure at Quadeye Securities (8 years) and currently lead HFT infrastructure at Findoc Investmart. My passion lies in pushing the limits of speed and efficiency in financial markets. I am here to connect with like-minded HFT professionals, quant traders, and infrastructure experts to discuss cutting-edge trading technologies, low-latency optimization, and market-making strategies.

Experience

11 yrs 2 mos

Total Experience

4 yrs 10 mos

Average Tenure

1 yr 6 mos

Current Experience

Findoc

Head of HFT Infrastructure

Dec 2024 – Present · 1 yr 6 mos · Gurugram, Haryana, India · On-site

Quadeye

2 roles

Engineering Lead – HFT Infrastructure, Automation & Operations

Promoted

Sep 2018 – Apr 2024 · 5 yrs 7 mos

Led three high-performance teams focused on building and optimizing ultra-low latency, high-throughput trading infrastructure.
Designed and implemented low-latency, high-performance automation frameworks to enhance trading reliability, real-time monitoring, and risk mitigation.
Engineered latency-critical reconciliation and P&L tracking systems optimized for nanosecond precision in high-frequency trading environments.
Developed real-time, high-throughput alerting and anomaly detection mechanisms to ensure the integrity of trading infrastructure.
Architected scalable CI/CD pipelines designed for low-latency deployment and testing, reducing system downtime and increasing trading efficiency.
Optimized data flow, network stack, and market data handling to reduce processing times and improve system throughput.
Spearheaded exchange connectivity optimizations, ensuring the fastest possible order execution while maintaining system resilience.
Led compliance automation for trade logging, permissioning, and archival, ensuring seamless adherence to regulatory standards in HFT environments.
💡 Key Impact: Delivered high-throughput, ultra-low latency solutions that enhanced trading performance, infrastructure efficiency, and system reliability at scale.

low latency C++HFT InfrastructureAutomation frameworksLatency-critical systemsCI/CD pipelinesExchange connectivity+2

Sr Software Engineer

Sep 2015 – Apr 2024 · 8 yrs 7 mos

Developing higher performing low latency Softwares for HFT purposes.

low latency softwareHFT systemsHFT Infrastructure

Chronus

Senior Software Engineer – High Performance Systems

Jul 2014 – Aug 2015 · 1 yr 1 mo · Tamil Nadu, India

Chronus · Full-time
📍 Chennai, Tamil Nadu, India
🗓 Jul 2014 – Aug 2015 (1 yr 2 mos)
Engineered high-performance backend systems, optimizing data flow and reducing response times.
Designed and developed scalable web and enterprise applications with a focus on efficient data processing.
Enhanced system performance by implementing low-latency communication techniques and optimizing database interactions.
Delivered critical features at startup speed, ensuring rapid development while maintaining system stability.
Worked in an agile, fast-paced environment, balancing innovation with production-grade reliability.

high-performance backend systemsdata flow optimizationlow-latency communicationHigh Performance Computing (HPC)

Mypal online school

Software Engineer – Scalable Systems & Content Management

May 2014 – Jun 2014 · 1 mo · Greater Hyderabad Area

Led and mentored a team of interns, overseeing the development of an online learning platform for computer science education.
Designed and implemented efficient content management workflows, ensuring scalability and structured data processing.
Developed a lightweight Learning Management System (LMS), optimizing content delivery and user engagement.
Focused on backend performance optimization, ensuring smooth handling of high-volume course content and user interactions.
Integrated automation tools to streamline course deployment and reduce manual intervention.

content management workflowsLearning Management System (LMS)backend performance optimization

Goldman sachs

Software Analyst Intern – Trading Systems

May 2013 – Jun 2013 · 1 mo · Bengaluru, Karnataka, India

Gained hands-on experience with high-performance trading infrastructure and market data processing.
Worked on optimizing data flow and real-time processing pipelines for trading operations.
Assisted in trade lifecycle automation, improving execution speed and reducing operational delays.
Explored low-latency optimizations in financial systems, enhancing system responsiveness.
Collaborated with traders and engineers to analyze market data feeds and trade execution efficiency.
💡 Key Impact: Built a strong foundation in algorithmic trading systems, financial technology, and real-time data processing, setting the stage for a career in HFT infrastructure.

high-performance trading infrastructuredata flow optimization