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This is the exact experience you get after dropping your own CV: the agents reading it, what they find, the conversation that fills the gaps, and the rewritten resume at the end. We're running it on Maya Restrepo's resume, a sample.
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Maya Restrepo
Software Development Engineer with experience building scalable distributed systems, cloud-native architectures, and data processing pipelines on AWS. Built production microservices handling millions of daily events. M.S. in AI from top UC school (4.0 GPA).
Education
M.S. in Artificial Intelligence, Top UC University2024 – 2025
GPA: 4.0/4.0 · Best Paper Award (top 5 globally)
B.E. in Computer Science, Top Engineering College2019 – 2023
GPA: 3.86/4.0 · National Hackathon Winner · ICPC Top 300
Work Experience
AI/ML Engineer (Founding Engineer) at Early-stage AI StartupJun 2025 – Present
- Designed and built scalable distributed systems: SQS-backed async task queues, Redis session persistence and two-tier caching (LRU + Redis), PostgreSQL knowledge base sync…
- Built production LLM Gateway, a pass-through proxy with streaming, multi-provider routing, observability tracing, and cost tracking.
- Architected multi-agent orchestration platform serving 100+ daily users with routing engine (100% test coverage, golden replay harness).
- Built standalone dashboard-service in Go: REST APIs, SQL query engine with two-stage rewriter…
- Implemented security hardening: RLS on 6+ database tables, default-deny ACL, SSO with dynamic roles…
- Deployed and operated production infrastructure on AWS: ECS services, Kubernetes (Argo workflows)… Participated in on-call operations.
- Authored 168-page technical documentation hub covering 57 service flows, 260+ database tables.
Software Development Engineer at Major Financial InstitutionAug 2023 – Sep 2024
- Architected event-driven microservices with Kafka processing millions of financial notification events daily.
- Built scalable data pipelines using Hadoop and Spark, cutting processing time by 25%.
- Designed hybrid ML model (SVM + XGBoost) for automated productivity scoring adopted across the org.
- Monitored, troubleshot, and resolved production issues. Demonstrated operational excellence.
NLP Engineering Intern at Stanford-backed AI StartupJun – Aug 2023
- Built customer-facing RAG application, handling 1000s of daily queries, boosting accuracy by 40%.
- Shipped and merged integration package (PR) into major open-source ML framework.
Technical Skills
Languages: Python, Java, Go, C++, Rust, TypeScript, SQL
Cloud: AWS (ECS, SQS, Lambda), Docker, Kubernetes, CI/CD
ML/AI: PyTorch, CUDA, vLLM, HuggingFace, RAG, LangChain