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Abhishek Khunt

@abhishekkhunt

Quantitative Developer at Quartiz, managing a production equity-trading pipeline from data ingestion through execution and monitoring.

India

Message

What I'm looking for

I’m seeking to use my Python development, data manipulation, and client management skills to contribute to the fintech industry.

At Quartiz, I own and manage the end-to-end pipeline for a production equity-trading product, from data ingestion and processing through execution and monitoring.

I work across development, deployment, and maintenance of production trading infrastructure, supporting reliable day-to-day operation and improving platform scalability and efficiency.

At Confidential QuantitativeTrading Firm, I built algorithmic trading pipelines spanning strategy implementation, broker integration, execution, monitoring, risk, and fund management. I also developed low-latency asynchronous infrastructure for real-time market data and order execution.

Previously, at Profitfolio, I developed and deployed live algorithmic trading systems across equity, futures, options, and forex markets. I migrated Pine Script strategies to Python, integrated broker and market-data APIs, and built backtesting and risk-management systems.

Experience

Work history, roles, and key accomplishments

Current

Quantitative Developer

Current

Quartiz

Apr 2026 - Present (7 months)

Own and manage the end-to-end pipeline for a production equity-trading product, covering data ingestion, processing, execution, monitoring, and operational workflows. Collaborate across technical and trading workflows to improve scalability, reliability, and efficiency.

Python Data Processing Trading Infrastructure Pipeline Management Monitoring Operational Workflows

Quantitative Developer

Confidential Quantitative Trading Firm

Aug 2025 - Apr 2026 (8 months)

Built end-to-end algorithmic trading pipelines spanning strategy implementation, broker integration, execution, monitoring, risk, and fund management. Developed low-latency, asynchronous trading infrastructure using ZMQ, TCP, WebSockets, and asyncio for real-time market data, order execution, tracking, and fault tolerance.

Python Algorithmic Trading ZMQ TCP WebSockets AsyncIO Low Latency Systems Risk Management Fund Management

Quantitative Developer

Profitfolio

May 2023 - Aug 2025 (2 years 3 months)

Developed and deployed live algorithmic trading systems across Equity, Futures, Options, and Forex markets for Indian, US, and Australian exchanges. Built and migrated Pine Script strategies to Python, integrated broker and market-data APIs, and implemented backtesting and risk management frameworks.