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MARCUS
Backend Engineer

marcus@portfolio:~$ cat about.txt
Backend engineer and infrastructure specialist. I build the systems that other systems depend on. 10 years of experience in distributed systems, cloud infrastructure, and making things that don't go down. I think in terminals, dream in YAML, and breathe in logs.

marcus@portfolio:~$ ls experience/
ROLE COMPANY PERIOD
Staff Platform Engineer CloudScale Systems Feb 2021 - Present
Senior Backend Engineer HighTraffic Inc. Jun 2017 - Jan 2021
Site Reliability Engineer ReliableOps Aug 2014 - May 2017

marcus@portfolio:~$ skills --format=bar
[Backend]
Go / Rust [██████████████████░░] 90%
Python [█████████████████░░░] 88%
Node.js [█████████████████░░░] 85%
PostgreSQL / Redis [██████████████████░░] 90%
[Infrastructure]
Kubernetes / Docker [██████████████████░░] 92%
Terraform / Ansible [█████████████████░░░] 85%
AWS / GCP [█████████████████░░░] 88%
Linux / Bash [███████████████████░] 95%
[Practices]
CI/CD Pipelines [██████████████████░░] 90%
Monitoring / Observability [█████████████████░░░] 85%
Security / Hardening [████████████████░░░░] 80%
[AI / ML Ops]
LLM Infra / RAG [████████████████░░░░] 82%
Prompt Engineering [███████████████░░░░░] 78%
Vector Databases [███████████████░░░░░] 75%

marcus@portfolio:~$ ls projects/
deploy-master [Go, Kubernetes, Helm, Prometheus]
  Zero-downtime deployment orchestrator for containerized applications. Blue-green and canary strategies, automated rollback on health check failure, Slack notifications. Used by 40+ teams internally.
api-gateway [Rust, Tokio, Redis, OpenTelemetry]
  High-performance API gateway handling 2M requests/day. Rate limiting, JWT auth, request transformation, and circuit breaker patterns. P99 latency under 15ms.
infra-as-code [Terraform, AWS, Python, GitHub Actions]
  Complete infrastructure-as-code repository managing 200+ cloud resources across 3 AWS regions. Terraform modules, automated drift detection, and cost optimization alerts.
monitoring-stack [Grafana, Prometheus, Loki, Jaeger]
  Custom observability stack with metrics, logs, and traces. Automated alerting, runbook integration, and incident timeline reconstruction. MTTR reduced from 45min to 8min.
llm-ops-gateway [Python, FastAPI, pgvector, LangChain, Kubernetes]
  Self-hosted LLM inference gateway and RAG platform for internal engineering tools. Routes prompts across models, caches embeddings in a pgvector store, and enforces token budgets and PII redaction per team. Powers an on-call assistant that drafts incident summaries from logs and traces, cutting postmortem write-up time by 60%.

marcus@portfolio:~$ cat metrics.txt
Uptime SLA 99.99%
Deployments This Year 2500+
Servers Managed 200+
Incidents Resolved 500+

marcus@portfolio:~$ contact --info
$ ./contact --init
Need someone to tame a flaky pipeline, scale a backend, or get your deploys back under control? Send me a message and I'll respond within one business day. No tickets required.
Email: me@rahul.mahadik.com
Linkedin: https://www.linkedin.com/in/rahulmahadik
Github: https://github.com/rahulmahadik
Website: https://rahulmahadik.com
Website: https://technoscripts.com

marcus@portfolio:~$ cat achievements.txt

~/certs $ ls -la

AWS Certified Machine Learning - Specialty

Amazon Web Services 2025 View credential →

Generative AI with LLMs

DeepLearning.AI 2024 View credential →

marcus@portfolio:~$

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