Hi there, I'm Himanshu
Software Engineer focused on backend systems, production reliability, cloud deployment, and AI-assisted workflow automation.
I'm a software engineer in Sydney building practical systems around real workflows: production recovery, CI/CD, cloud deployment, internal tools, and AI-assisted automation. My strongest work sits at the intersection of shipping features, debugging production issues, and making systems easier to operate.
Recent experience includes ransomware recovery, automation, and marketplace engineering at Ask Jay Services, where I restored 100% of production data with zero loss, reduced page load time from 25 seconds to 3 seconds, and established CI/CD and production deployment practices.
I also build prototypes and open-source tools to explore responsible AI workflows, developer tooling, and small-business automation. I label these clearly as MVPs, prototypes, or experiments when they are not production systems.
Hosting and optional AWS backend
The public website is hosted with GitHub Pages + Cloudflare, not AWS, and uses https://www.himanshulade.com/ as its canonical domain. AWS is used only for the optional chatbot/Synthetic RAG backend. See AWS_CURRENT_ARCHITECTURE.md for the current resource inventory, recovery checklist, and intentionally unused services.
🛠️ Technologies & Tools I Use
Languages & Frameworks:
Cloud & DevOps:
Databases & Storage:
Specialties & Methodologies:
Recent Experience Highlights
- Ask Jay Services: Software Engineer, May-Oct 2025. Recovered a production system from ransomware with 100% data restored and zero loss, reduced page load time from 25 seconds to 3 seconds, built a shift-booking bot and three-sided Flutter marketplace, and established CI/CD practices.
- Australian Computer Society: Web Developer Intern, Sep 2023-Feb 2024. Improved MERN frontend performance by 33% for a production application serving 200+ active users, remediated 15+ OWASP Top 10 vulnerabilities, and built internal tooling.
💻 Projects
The portfolio separates flagship case studies from the broader GitHub project feed:
- Production Recovery & Performance Rebuild - NDA-safe case study for production recovery, cloud hardening, CI/CD, and performance work.
- Pilly / MediMate Voice - Firebase-backed responsible-AI medication support MVP. Not a medical product; no diagnosis, dosage advice, or real patient data.
- codeflow-hook - Open-source AI-assisted code review CLI published as an npm package with early usage traction.
The website project feed is automated from public, non-fork GitHub repositories owned by Sharv619. By default it uses PORTFOLIO_GITHUB_TOPIC=all; set this to a specific topic such as portfolio if the feed should be curated. Keep repo descriptions/READMEs useful, and the next GitHub Pages rebuild will refresh the portfolio pages. The deploy workflow also runs on a daily schedule so project metadata updates without manually editing src/lib/data.ts. Set the GitHub Actions variable NEXT_PUBLIC_ASSISTANT_API to the RAG Lambda endpoint when the deployed chatbot should use the live optional AWS assistant instead of demo mode.
Automation details for repo push refreshes and certifications live in docs/automation.md.
📫 Let's Connect
I'm always open to connecting with fellow builders and exploring new opportunities: