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Algorithmic Trading, Financial Analytics, and Payment Infrastructure
Our FinTech domain combines deep financial domain knowledge with cutting-edge technology. From algorithmic trading engines that run entirely on your machine (no cloud latency) to cross-platform financial analysis suites with subscription billing — we build financial tools that are powerful, private, and production-ready.
Walk-forward backtesting, paper/live trading modes, broker adapters for Zerodha/Upstox, and configurable risk management.
EMI calculation, credit score monitoring, budget optimization, AI-powered document analysis, and comprehensive reporting.
Razorpay integration for subscription billing, plan management, payment webhooks, and revenue analytics dashboards.
Intel Core Ultra NPU acceleration via OpenVINO for real-time market analysis and DeepSeek-R1 inference.
DuckDB + Parquet storage for time-series data, Apache Arrow for zero-copy sharing, and real-time data streaming.
Position sizing, sector exposure limits, correlation analysis, daily loss limits, and automated stop-loss execution.
Build an algorithmic trading platform for Indian equities (NSE) that runs entirely on the user's machine — no cloud dependency, no subscription fees, no strategy exposure.
Designed a modular Python architecture with DuckDB for columnar data storage, walk-forward backtesting engine, pluggable strategy framework, and broker adapters for Zerodha/Upstox. Risk management module enforces position limits, sector exposure, and daily loss caps.
Enterprise Cross-Platform Finance Suite
Subscription-based financial intelligence platform spanning Web, Mobile, and Desktop. Features AI-powered document analysis, EMI tracking, credit score monitoring, budget optimization, and Razorpay subscription billing with a full admin portal and Firebase Cloud Functions backend.
Modular Quantitative Trading Engine
Local-first algorithmic trading agent for Indian equities (NSE). Walk-forward backtesting, paper and live trading modes, broker adapters for Zerodha/Upstox, DuckDB/Parquet data management, and configurable risk management modules.
Multi-Agent Algorithmic Trading
Enterprise local-first multi-agent algorithmic trading platform targeting 50K+ LOC. DuckDB and Apache Arrow for zero-copy data sharing, shared memory IPC between agents, Tauri 2.0 + React 19 native desktop UI, and OpenVINO/MLX hardware-accelerated inference.
NPU-Accelerated Stock Trading
Autonomous stock trading agent optimized for Intel NPU hardware. DeepSeek-R1 inference via OpenVINO, real-time market data piping, risk guard rails, and native PySide6/Qt desktop GUI with PDF report generation.