The Blog
Technical articles on AI agents, automation, ERP systems, and software engineering. Written by an engineer, for engineers.
DeepDse: Predicting the Dhaka Stock Exchange with Transformers, LSTMs and GRUs
How we combined a Transformer encoder with LSTM and GRU layers, added gold, oil and USD prices as inputs, and got the lowest error on all 11 DSE stocks we tested.

LSTM + GARCH + Regression: A Hybrid Model for Bangladesh’s Stock Market
Why we split stock prediction across three models (a stacked LSTM for price, GARCH for volatility, and a linear regression to combine them) and how that roughly halved the error.

Building Multi-Agent Systems with Semantic Kernel
A deep dive into creating intelligent multi-agent systems using Microsoft Semantic Kernel for orchestrating complex AI workflows.
OCR Solutions for Document Processing
Exploring various OCR techniques and best practices for building robust document processing systems with Tesseract.
Stock Market Prediction with Machine Learning
Lessons learned from publishing research on hybrid ML methods for predicting stock prices in emerging markets.
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