Engineering notes
Long-form write-ups of how things were built. Older posts describe earlier versions of projects and are kept for reference.
2026
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Building an AI investment analyst that follows a method
1 NovHow InvestPal is built: written analysis procedures, five local services joined by MCP, memory as structured state, and brokerage access designed around real money.
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InvestPal 2.0: Brokerage Integrations, Agent Memory, and Proactive Reminders
13 AprInvestPal 2.0 adds brokerage integrations via Alpaca and Coinbase MCP servers, a dual-agent architecture with background memory management, and a tool-driven reminder system delivered through Telegram.
2025
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InvestPal: AI-Powered Investment Advisory Platform
27 DecInvestPal is a comprehensive AI-powered investment advisory ecosystem that delivers personalized financial insights and market intelligence through multiple channels.
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AI Investor Assistant API
20 JulThe AI Investor Assistant API is a plug-and-play SaaS backend that empowers any financial product
2024
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How to use langchain SQL agent
6 JulHow to use langchain to create a stock investor assistant chatbot
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How to manage a pool of machine learning models for crypto trading
3 JunUsing MLflow to train, register, batch-predict and serve a pool of crypto trading models, end to end.
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Stock Price Prediction End to End
8 JanOne stock-agnostic model that predicts whether a price will be higher in six months, served behind an API with SHAP explanations.
2022
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Investor Discovery Service
13 DecA web service that provides market aggregation data
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Moneytoring API service
4 SepAn API to fetch, categorise and aggregate bank account transactions
2021
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Google Drive Service
25 OctAn api that works on top of google drive api to provide simpler endpoints for basic operations