- Designed and built production REST APIs (.NET, Django) implementing core business logic, input validation, and secure data-layer integration for internal services.
- Applied SAST tooling and threat modeling to identify and fix code-level vulnerabilities across services, improving code quality and reducing OWASP Top 10 risk.
B.Tech CS (Blockchain Technology) student at VIT Vellore, class of 2027. I build production backends, break (and fix) insecure code, and lead teams that win hackathons. Currently interning in backend & infosec at NowFloats (Reliance Industries).
# try 'help'
hint: whoami · projects · neofetch · resume — Tab autocompletes, ↑ recalls history
# git log --oneline --career
- Designed and implemented an automated Bulk IP Translator tool using efficient batch-processing logic, cutting processing time by 99% and saving 10+ engineer-hours weekly.
- Built and shipped production Flutter apps with Django REST API backends and PostgreSQL serving 1,000+ users; optimized queries, indexing, and caching, reducing API latency by 30%.
- Designed and implemented JWT authentication, RBAC authorization, and WebSocket-based real-time sync, cutting refresh latency by 40%.
- Led a 100+ member technical community; organized CTFs, hackathons, and coding sessions on software engineering practices.
- Owned operations, budgeting, and documentation for 10+ technical events, coordinating logistics across distributed teams.
# clearance required — hover to declassify
CITADEL
Secure communication protocol combining AES-256 + ECC encryption with custom message-validation logic across a distributed network of ESP32 mesh nodes. Built the protocol's state machine and retry/validation logic from scratch to prevent replay and tampering attacks under unreliable network conditions.
RePlate
ML-based demand-forecasting service with a Django + PostgreSQL backend, exposing REST APIs consumed by downstream inventory systems. Automated data pipelines and forecasting logic reduced inventory mismatch by 22%.
Nimbus
Full-stack social networking app (Flutter + Firebase) built from the ground up — data model, REST/real-time API layer, and feed logic. Engineered concurrent-user handling and real-time sync for scalable, low-latency interactions.
Fruit Ripeness Detection
Edge-AI inference pipeline (YOLOv8, 92% mAP) including data preprocessing, model optimization, and deployment logic. Ported and optimized for on-device inference on Raspberry Pi using TensorFlow Lite.
CI/CD + Monitoring Stack
Automated build-test-deploy pipeline (GitHub Actions/Jenkins) with containerized services (Docker), paired with a custom Prometheus + Grafana dashboard exposing latency, error-rate, and saturation metrics. Alerting logic catches regressions before production.
# lsmod | grep divyansh
Languages
Frameworks
Security
Core CS
Infra & Tools
# cat /var/log/wins.log
# man divyansh
# handshake initiated
I respond fast.
Internships, security work, backend systems, hackathon teams — if it's interesting, I want to hear about it.
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