Referral_Decision_Packet
A work-authorized 2026 Honours BCS graduate focused on backend, platform, and infrastructure engineering, with four live systems and architecture documentation a referrer can review before making a decision.
60_Second_Review
These are the strongest artifacts to inspect. Each card states what the system proves and links directly to the live deployment and design documentation.
Distributed Systems & Cloud APIs
Reliability, queueing, incident lifecycle, database pooling, and secure checker communication.
mTLS regional checkers -> queue -> monitoring engine -> PgBouncer + Postgres/Redis -> status dashboard + incident lifecycle.
Scaling & Messaging Systems
Sandbox isolation, durable jobs, scale-to-zero workers, readiness-gated recovery, and DLQ handling.
cloudsandbox.space -> always-available control API -> durable queue/DLQ -> queue-depth scaling policy -> 0-to-N ECS/Fargate worker pool -> readiness-gated execution -> result store.
Scaling & Messaging Systems
Java/Kubernetes orchestration, workload eligibility, 0-to-N scaling, cooldown, and operational metrics.
autoscale-os.dev -> React operations UI -> Java orchestration API -> Redis state -> idle/backlog control loop -> 0-to-N Kubernetes worker scheduler -> Prometheus metrics + readiness.
Distributed Systems & Cloud APIs
Zero-trust policy decisions, audit trails, service topology, denied traffic, and security observability.
sentinel-mesh.cloud -> mesh dashboard -> gateway audit stream -> policy bundle evaluator -> service trust map -> alerts + metrics summary -> AutoScaleOS export link.
Internal_Referral_Note
I reviewed Mohammed Vepari's resume and engineering portfolio for an SWA or new-grad software engineering opportunity. He completed an Honours Bachelor of Computer Science in 2026, including Operating Systems, Distributed Systems (85%), and Theory of Computing, and he is legally authorized to work in Canada without sponsorship. His strongest work is in backend and platform engineering: NetPulse, Cloud Sandbox, AutoScale OS, and SentinelMesh each include a public deployment and system-design documentation. His scale-to-zero work explains durable queueing, workload eligibility, 0-to-N recovery, readiness gates, and cold-start tradeoffs. I am referring him for assessment through the standard coding and interview process based on this reviewable evidence.
Use this as a starting point, not as a claim of personal working experience.
Referrer_Risk_Check
Yes. The packet links an Honours BCS degree proof and lists completed systems coursework, including Operating Systems and Distributed Systems (85%).
Yes. Four core systems have public endpoints and architecture pages; NetPulse and Cloud Sandbox also link source repositories.
The scale-to-zero writeup explains why CPU metrics cannot wake zero workers, why durable queue signals are needed, and when a warm replica is the better choice.
Refer Mohammed for evaluation as an early-career backend/platform candidate. Do not claim senior production ownership or a past working relationship unless it is true.
Best_Fit
SWA and new-grad software engineering programs, backend engineering, enterprise SaaS, platform engineering, cloud infrastructure, reliability tooling, and Java-oriented application or systems teams. Mohammed is available for on-site, hybrid, or remote roles aligned with EST/EDT working hours.