Anand
AI Infrastructure Engineer
Porto, Portugal · UTC+0 · 2 years of experience
Anand focuses on reliable, observable, and cost-efficient compute platforms for AI workloads.
Request a shortlistWhy this profile fits
Reliable AI compute
Runs Kubernetes and GPU platforms with workload isolation, SLOs, capacity controls, and recovery procedures.
Infrastructure as code
Makes environments repeatable through reviewed modules, GitOps, policy checks, and controlled change.
Cost and capacity discipline
Connects utilization, latency, availability, and unit economics to practical scaling decisions.
Relevant toolkit
Kubernetes
Terraform
NVIDIA GPUs
PrometheusArgo CDDelivery evidence
Selected work
Support Agent Reliability Harness
Customer-experience SaaSBuilt an offline eval harness that scores a support agent against 320 labeled transcripts on answer accuracy, tone, and policy adherence. Gating prompt and model changes on the suite raised task success from 71% to 92% and made regressions visible before release instead of after a customer complaint.
Hybrid RAG over Compliance Documents
Fintech scale-upDesigned a hybrid retrieval pipeline combining BM25 and dense pgvector search with a cross-encoder reranker over roughly 40k compliance documents. Semantic chunking and metadata filtering lifted retrieval recall@5 from 0.62 to 0.89 and sharply reduced irrelevant citations in generated answers.
Relevant experience
Career timeline
LLM Engineer
Feb 2025–PresentDevlyn (AI-native staffing) · Remote, Porto, Portugal
- Owns agent reliability workstreams for client teams, converting demo prompts into LangGraph agents with validated tool calls, retries, and tracing, then gating every change behind Braintrust eval suites.
Senior Software Engineer
Jun 2022–PresentViitorCloud Technologies · Lisbon, Portugal (Hybrid)
- Shipped the first RAG pipeline for a support copilot over roughly 40k help-center articles, using pgvector hybrid search and semantic chunking to reach recall@5 of 0.89.
Software Engineer
Jul 2019–May 2022Cybercom Creation · Porto, Portugal
- Prototyped a document-extraction agent that parsed financial PDFs into structured fields using function calling, reaching 88% field-level accuracy on a 500-document test set.
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Skill depth
Show experience in context.
Relevant experience by skill
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Languages
Frameworks
Libraries/APIs
Tools
Paradigms
Platforms
Storage
Other
Education
Formal background
BSc, Informatics Engineering
University of Porto · 2021–2024 · Final thesis on retrieval-augmented question answering, graded 18/20
Credentials
Certifications
HashiCorp Certified: Terraform Associate (004)
HashiCorp · 2022 · Certified
Communication
Languages
Portuguese
Native
English
Fluent
Spanish
Conversational
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