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pushpanathan User

@pushpanathanuser

Quantitative researcher and systematic trader at Pixel In, building high-frequency market data pipelines in Python and Rust.

India

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What I'm looking for

I’m seeking a Quantitative Research, Quantitative Developer, or Software Engineering role where I can apply computational finance and high-performance computing to build scalable data pipelines, robust trading and analytical systems, and high-performance software applications.

At Pixel In, I designed quantitative systems and developed low-latency analytical workflows for historical tick-level market and derivatives data. I built high-frequency data pipelines in Python and Rust, and researched market microstructure, fill behavior, and order flow latency to improve execution.

At Livewire – CADD Traning Centre Pvt LTD, I designed and delivered curricula in Python, data engineering, Linux system administration, and APIs. I also built automated ETL pipelines and monitoring dashboards, and mentored junior engineers and researchers in modular system design and software engineering practices.

Experience

Work history, roles, and key accomplishments

Technical Head / Instructor - Systems, Data & Full Stack

Livewire – CADD Traning Centre Pvt LTD

Jan 2024 - Present (2 years 10 months)

Designed and delivered production-grade curricula covering Python numerical stack, data engineering pipelines, Linux system administration, and APIs. Built automated ETL data pipelines and monitoring dashboards, and mentored junior engineers and researchers.

Python NumPy Pandas ETL Linux APIs Data Engineering Mentorship Curriculum Design

Founder / Quantitative Research / Systematic Trader

Pixel In

Jan 2019 - Present (7 years 10 months)

Designed and engineered high-performance, data-driven systems, developing low-latency data analytical workflows and statistical pipelines. Built scalable high-frequency data processing pipelines in Python and Rust, and executed rule-based systematic strategies with strict risk controls.

Python Rust JavaScript Redis Data Engineering Statistical Analysis Quantitative Modeling System Architecture ETL Pipelines Data Visualization Risk Management

Education

Degrees, certifications, and relevant coursework

Saveetha Engineering College

MBA, Business Analytics / Computational Finance

Activities and societies: Research paper on portfolio management and quantitative factor modeling; paper presentations on blockchain and decentralized applications; runner-up in portfolio management competition.

Pursued an MBA in Business Analytics and Computational Finance, with coursework in quantitative analysis, financial computation, and business research.