- I build backend systems that handle real-world complexity: workflows, integrations, security, observability, and scale.
- My default tool is Python. My multiplier is AI-assisted execution in Rust/Go/C/JS when needed.
- I like problems where architecture and operations matter as much as code.
- Weekends are for Android, networking, IoT, and reverse-engineering rabbit holes.
- Motto: “It’s not about ideas, it’s about making ideas HAPPEN!”
Based in India • Building with @dtechterminal (“Technology Simplified”)
Core stack
- Django + DRF → APIs, admin, domain-heavy systems
- FastAPI → performance + microservices + ML-serving
- Celery + Redis/RabbitMQ → background jobs & async pipelines
- PostgreSQL → main datastore
- Docker + Kubernetes (K3s) → packaging + orchestration
- CI/CD → Azure DevOps + Jenkins (and GitHub Actions when relevant)
I’ve shipped systems across:
- FinTech platforms (end-to-end backend workflows + integrations + reliability)
- Enterprise SaaS (legacy modernization, auth, scheduling/workforce domains)
- AI/NLP microservices (embeddings, QA, summarization, semantic search)
Sensitive details stay private — this profile focuses on craft and capability.
- Android ROM/kernel work (device trees, kernels, build automation)
- Networking deep-dives (bridge-mode puzzles, VPN tooling, ISP gear research)
- IoT local control (LAN-first utilities over cloud dependence)
- Security/RE tooling (firmware poking, traffic inspection, binary analysis)
How I like to build
- Strong defaults: tests, linting, structured logs, observability
- Secure by design: least privilege, isolation, secrets hygiene
- Systems thinking: data model → workflows → failure modes → operations
- Practical performance: measure first, optimize where it matters
- Repeatable delivery: clean builds, predictable deploys, rollback friendly
- I publish practical tools under @dtechterminal and my personal account.
- Expect utilities that solve real problems: automation, networking helpers, integrations, and experiments.
