Platform & AI Engineer building reliable ML/AI systems end‑to‑end — from cloud infrastructure and DevOps to intelligent agents, RAG, and model observability. Strong foundation in networking & security. Final‑year Computer Networks & Telecommunications student at INSAT (’26).
ICT/Networks engineering student about to graduate (INSAT ’26) I’m currently seeking a final‑year internship in Platform/AI Engineering. I also enjoy frontend development and I’m learning distributed systems design and LLM architectures.
- AI & DevOps Intern @ Calgra Group (May 2025 – Present) Building LLMOps for on‑prem AI: monitoring, observability, and RAG agents to boost LLM accuracy and structure.
- 3S Internship — Networks & Automation (Sep 2025 – Present) MPLS L3 VPN with HA, plus Ansible & Python for config automation and testing.
- Platform: Kubernetes, GitOps, CI/CD, IaC, service mesh, SRE practices
- AI Systems: RAG, agents, evals, vector stores, tracing/observability
- Reliability: monitoring, alerts, budgets, autoscaling, cost/perf trade‑offs
💡 Next up: Open‑source a lightweight RAG Agent template (retrievers, chunking, eval harness, and observability) + a Network Automation Playbooks pack for MPLS and HA labs.
INSAT — Computer Networks & Telecommunications (Bac+5) Sept 2021 – Sept 2026
- Designed a WLAN administration system with OpenWISP.
- Implemented a WAF on a reverse proxy to harden web services.
- Built MPLS L3 VPN with high availability and automated validation.
Leadership (GDG instructor) · Collaboration (Agile, pair programming) · Communication (workshops & docs) · Problem‑solving (perf tuning & debugging)