Available for software engineering roles - backend systems, production reliability, cloud deployment, and AI-assisted workflows.
Technical field journal
Australia · Remote worldwide
33.8688° S, 151.2093° E
Identity / field record 001
Full-Stack Systems & AI Engineer
● Australia-based · Remote worldwide
The live site is my public evidence layer. Localhost is where small utilities, local models, and infrastructure experiments begin.
System architecture / high level
Build-time pipeline
Metadata, READMEs, architecture documents and curated evidence.
Source material stays linked to its public repository.
Static project notes generated from evidence.
Browser-only search grounded in public docs.
New public projects enter the pipeline on the next scheduled refresh.
About / field note
Human touch
I care about the awkward middle: incidents, handoffs, localhost experiments, and the tradeoffs between a clever idea and a useful system.
Field method
Start with the friction. Build the smallest useful system. Test the boundary, document what worked, and keep the evidence close to the code. I use AI for retrieval, drafting, and review, while consequential decisions stay human-owned.
Australia-based
Open to remote work anywhere in the world.
Working record / selected notes
I am an Australia-based full-stack systems and AI engineer, open to remote work anywhere in the world. I work across production recovery, backend and frontend delivery, technical SEO, workflow automation, and local-first AI.
My production work includes ransomware recovery, marketplace engineering, performance work that reduced load time from 25 seconds to 3 seconds, and CI/CD and deployment workflows.
Away from the public site, I maintain a private engineering layer: local models, small Python utilities, Tailscale and SSH paths, and localhost experiments that remove friction from my own work.
The useful parts become public proof through repositories, case studies, audits, and project notes. Prototypes stay labelled as prototypes; production evidence stays tied to work I can support.
Career ledger / verified work
The story is not just titles. It is recovery, performance, public-facing audits, access boundaries, and delivery under constraints.
• Support small-business client work across custom software, technical SEO, performance, integrations, and deployment troubleshooting.
• Produced a public-facing website audit covering page structure, redirects, metadata, schema, indexing, tracking, and performance checks.
• Converted findings into a practical implementation checklist for developer handoff and client review.
• Help scope work, estimate effort, and keep responsibilities clear across client, founder, and developer coordination.
• Recovered a production system from ransomware within three weeks of starting the engagement, restoring 100% of the data with zero loss and reducing page load time from 25 seconds to 3 seconds over 30 hours.
• Built a shift-booking automation bot and a three-sided Flutter marketplace for service providers, requesters, and administrators.
• Established CI/CD pipelines, GitHub Actions workflows, and production deployment practices for a greenfield stack.
• Improved MERN application frontend performance by 33% across a production application serving 200+ active users.
• Remediated 15+ OWASP Top 10 web application security vulnerabilities before production release.
• Built internal tooling with React, Node.js, Express, and MongoDB.
Next field note
Open to software engineering roles across full-stack systems, platform and reliability work, workflow automation, and applied AI.
Write to Himanshu Lade →Real work / real constraints
6 field reports · constraints included
Production recovery, responsible AI boundaries, and developer tooling. Each is labelled by what it is, what I owned, and what the evidence supports.
Case file 01
Production & Infrastructure
NDA-safe ransomware recovery case study covering data restoration, infrastructure hardening, CI/CD setup, and performance optimization for a service marketplace.
Restored 100% of production data with zero loss.
No private client screenshots, credentials, database names, or proprietary workflows are published.
Role: Incident recovery lead, Infrastructure and deployment owner
Case file 02
AI-Assisted Security Prototype
AdGuard-connected network security prototype that polls DNS traffic, runs local heuristics before AI escalation, stores tenant-aware analysis history, and exposes the results through a FastAPI + React dashboard.
Moved from passive DNS blocking toward an explainable review workflow with domain history, risk categories, summaries, and anomaly fields.
Security results are review signals, not final incident-response decisions.
Role: Full-stack prototype builder, Backend/API and analysis-pipeline implementer
Showing 1–2 of 6
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Open source / continuously building
Projects · skills · automations
One evidence system for public repositories, project-mapped skills, case-study context, and the small tools I use in daily work.
How it works: Skills are evidence filters, not self-rated badges. Select one or more to see the repositories where they appear, then open a project for its implementation notes and status.
Project mapping
Choose a technology to see the public repositories where it appears in the code or project evidence.
Public repository evidence
Generated from public, original repositories at build time.
Offline-first BackPocket OS pivot for operator-owned AI workflows, with local data ownership, approval gates, and small-business admin automation.
Alter Ego Builds
Small tools, daily use. Most start as a weekend build sprint: find one repeated annoyance, make the smallest reliable fix, and keep it close to the workflow it supports.
Small tool, daily use
A few lines of Python turn a repeated headphone adjustment into a direct -1 / +1 command.
How it works
The script stays deliberately small because the repeated action did not need another full application.
Chat as the interface
A Telegram bot exposes the command through a familiar chat window instead of adding another dashboard.
How it works
The bot translates a small command into the local action and keeps the interface lightweight.
Personal infrastructure
Termux gives me the remote terminal, while SSH reaches my main laptop through its private Tailscale network.
How it works
Termux → SSH over Tailscale → main laptop terminal → local Python utility.
Small tool, daily use
A Flutter app that uses on-device ML to process screenshots for text extraction or UI element detection.
How it works
Built to quickly extract information from screenshots without sending data to the cloud, keeping processing local and private.
Small tool, daily use
A simple script that checks stock prices and sends alerts when thresholds are crossed.
How it works
Runs periodically to monitor watchlist and sends SMS notifications via Twilio when price moves beyond set limits.
Project management tool
A lightweight kanban board for personal task management with JWT auth and Docker containerization.
How it works
Provides a simple interface for tracking tasks and projects, used for daily workflow organization.
Learning experiment
A small project to practice Retrieval-Augmented Generation techniques with local vector storage.
How it works
Experimented with chunking, embedding, and retrieval to build a context-aware Q&A system over personal notes.
Experimental sandbox
A temporary repo for testing new ideas, configurations, or code snippets before integrating elsewhere.
How it works
Used as a safe space to try out new libraries, frameworks, or architectural patterns without affecting main projects.