TRADEX7
QUANT SYSTEMA quantitative trading and backtesting platform designed around market data processing, strategy execution, risk management and account-level exposure.
I'm Anurag Khunte, a Software Engineer focused on Python backend development, data systems and real-time applications.
I enjoy designing APIs, processing large datasets, working with databases and building reliable software systems with a strong focus on performance and maintainability.
A practical stack focused on backend development, data processing, APIs and system-level engineering.
Selected projects focused on backend engineering, data processing, APIs and quantitative systems.
A quantitative trading and backtesting platform designed around market data processing, strategy execution, risk management and account-level exposure.
A Django-based application for managing, analyzing and visualizing backtesting results, strategies, trades and performance metrics.
A real-time market data system that consumes Coinbase WebSocket ticks and streams processed data to a browser dashboard with automatic reconnection and bounded buffering.
An AI-assisted question paper solving platform designed to analyze uploaded papers, identify topics and subtopics, generate metrics and provide structured answers through a chat-based interface.
I started with a background in core science, but curiosity led me from human science to computer science. The journey taught me how to learn, adapt, and keep exploring beyond what I already know.
Sharda University
Medical Imaging · Healthcare Technology · Technical & Analytical SkillsMATS University
Computer Science · Software Development · Databases · ProgrammingBuilding practical software systems using Python, APIs, databases and real-time technologies.
Python · FastAPI · PostgreSQL · WebSockets · Linux · Data ProcessingDeveloping systems for market data processing, backtesting, quantitative research and real-time financial applications.
Pandas · NumPy · Parquet · Backtesting · Real-Time DataInterested in backend engineering, data systems, real-time applications or technical collaboration? Feel free to get in touch.