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Shreya Sivakumar
Mid-level Machine Learning & Generative AI Engineer specializing in AI agents and LLM workflows
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Customer-facing AppSec/solutions engineer with experience securing cloud-native AI/LLM deployments on Azure and Kubernetes. Led threat modeling and production hardening (Key Vault secrets migration, least-privilege IAM, rate limiting, structured logging/monitoring, LLM guardrails) and has supported retail search/catalog platforms using Elasticsearch, including performance triage and rollout playbooks that improved customer trust and enabled engagement expansion.
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Key Strengths
- Identifies and mitigates cloud/LLM appsec risks moving from POC to production (secrets in .env, permissive IAM, weak logging/rate limits)
- Translates technical security risks into business/financial impact for non-technical stakeholders
- Balances security vs latency/operational overhead using benchmarking and phased rollouts prioritized by risk reduction
- End-to-end customer-facing delivery: onboarding, architecture alignment, remediation guidance, and post-deployment monitoring
- Strong troubleshooting and escalation: uses Elasticsearch/Kubernetes logs and cluster metrics to isolate root cause and document evidence for engineering
- Builds preventive operational practices (performance standards, alerts, pre-deployment checklists) to reduce recurrence
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4 publications
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