Engineered by a proven builder
From processor logic to a national newsroom to the markets — the same engineering discipline, applied to your trading.
15+ yrs
Across hardware, data, and high-traffic production systems
National
Optimization & scaling for national newsrooms read by senior federal officials
M.S. + B.E.
Computer Science (Big Data) & Electronics Engineering
Since 2013
Applying ML to markets — NEPSE index via ANN & game theory
TradeKarma is built by an engineer with 15+ years spanning silicon to software — from processor architecture, digital logic, and robotics to optimizing and scaling national newsroom platforms — high-traffic news systems relied on daily at the highest levels of the U.S. federal government. The pull toward markets goes back to 2013, forecasting the Nepal Stock Exchange (NEPSE) index with artificial neural networks and game theory. That same rigor now drives the product: machine-learning signal models (Random Forest, XGBoost), real-time data pipelines, and exhaustive backtesting behind every strategy. Credentials: a B.E. in Electronics and Communication Engineering and an M.S. in Computer Science (Big Data).
PythonMachine LearningNeural NetworksRandom Forest & XGBoostStrategy BacktestingReal-time Data PipelinesSignal ProcessingAWS (EC2 · S3 · RDS)SQL & PostgreSQLCI/CD & AutomationData Visualization