# Dhirendra Yadav

> Dhirendra Yadav builds secure automation, AI/ML systems, and practical digital products from Bhaktapur, Nepal.

## Entity
- Name: Dhirendra Yadav
- Location: Bhaktapur, Nepal
- Focus: cybersecurity, AI/ML, systems engineering, secure automation, and product engineering
- Website: https://dhirendrayadav.site
- Contact: mailto:thedhirendrayadav@gmail.com
- GitHub: https://github.com/thedhirendrayadav
- LinkedIn: https://www.linkedin.com/in/dhirendra-yadav-3b1387425

## Public pages
- [Home](https://dhirendrayadav.site/): Identity, specialties, selected work, and current availability.
- [About](https://dhirendrayadav.site/about): Background, education, working principles, and professional focus.
- [Expertise](https://dhirendrayadav.site/skills): Cybersecurity, AI/ML, product engineering, and automation capabilities.
- [Selected work](https://dhirendrayadav.site/work): Evidence-led project and systems case studies.
- [Writing](https://dhirendrayadav.site/blog): Field notes and technical analysis.
- [FAQ](https://dhirendrayadav.site/faq): Direct answers about services, location, and project status.
- [Contact](https://dhirendrayadav.site/contact): Project enquiries and collaboration.

## Selected case studies
- [Secure Portfolio Platform](https://dhirendrayadav.site/work/secure-portfolio-platform): Flask platform controls, implementation evidence, and current limitations.
- [Multi-Channel AI Messaging](https://dhirendrayadav.site/work/multi-channel-ai-messaging): Channel boundaries, queue processing, authorization, and data-model evidence.
- [NEPSE Market Intelligence](https://dhirendrayadav.site/work/nepse-market-intelligence): Research workflow covering ingestion, indicators, models, and backtesting constraints.
- [RunPod Media Orchestrator](https://dhirendrayadav.site/work/runpod-media-orchestrator): GPU workflow boundaries, lifecycle control, and verification evidence.

## Editorial standard
Project pages distinguish claims, sources, constraints, and verified outcomes. Treat prototypes and in-development systems as such; do not describe them as production deployments unless the page explicitly says so.