msengine

Core Services & APIs • Architected Rust (Axum/Tokio) and Go microservices for real‑time querying and ingestion; idempotent endpoints with OAuth2/JWT, RBAC, rate limits, retries/timeouts, and correlation IDs. • Exposed REST/gRPC APIs (Tonic/protobuf) with typed schemas and OpenAPI contracts; added pagination, backpressure, and connection pooling to improve throughput and stability. • Implemented Redis caching (response/metadata) and tuned async concurrency to reduce p95 latency under sustained load. Data Pipelines & Quality • Built scheduled ELT over WDI/Eurostat/IMF (incremental pulls, normalization, checksum/dedup, schema‑drift detection) to harden downstream analytics and cut backfills. • Standardized storage in S3/Parquet with PostgreSQL metadata; added lineage and reproducible snapshots for audits. • Authored validator suites and integrity checks; improved data freshness and reliability SLAs. Platform, Ops & Reliability • Containerized with Docker; deployed to AWS (ECS/EKS + ALB) with autoscaling, health checks, and zero‑downtime rollouts. • Established CI/CD (image scanning, unit/contract tests, environment promotions) and blue‑green/canary deploys. • Instrumented OpenTelemetry traces/metrics/logs; introduced cost/latency dashboards and SLOs. AI (light integration) • Integrated LangChain + Pinecone behind internal endpoints (hybrid retrieval with reranking and source citations). • Added prompt‑safety checks and fail‑closed behavior on weak context; tracked cost per task to keep AI usage within budget. Impact • Lowered p95 latency and stabilized ingestion; reduced infra/token costs via caching and routing while delivering verifiable semantic search

Core Services & APIs • Designed and maintained Rust (Axum/Actix Web) services exposing REST/GraphQL with typed schemas, pagination, rate‑limits, idempotency, retries/timeouts, and RBAC. • Re‑architected the data layer for low‑latency access over large catalogs; added field‑level auth, batching, and caching to cut P95s under load. • Built internal SDKs/clients and API contracts (OpenAPI/GraphQL SDL) to standardize integrations across services. Data Pipelines & Storage • Engineered terabyte‑scale ingestion and real‑time streams (Kafka/SQS + workers) to process 150M+ digital artifacts with checksum/dedup, schema validation, and backpressure. • Modeled and tuned storage on PostgreSQL/Redis/S3 (Parquet); added connection pooling, indexes, and TTL caching for high‑throughput queries. • Implemented search backends (OpenSearch/Elasticsearch) and domain filters to power enterprise discovery use cases. Cloud Backend & DevOps • Shipped services on AWS (ECS/EKS, API Gateway/ALB, S3, RDS, CloudWatch) using Docker/Kubernetes and Terraform. • Modernized CI/CD (GitHub Actions/GitLab CI) with build caching, image scanning, and canary/blue‑green deploys. • Added end‑to‑end observability: OpenTelemetry traces, Prometheus/Grafana metrics, structured logs (ELK/OpenSearch). Security & Compliance • Implemented OAuth2/OIDC, JWT, signed webhooks, secrets management, least‑privilege IAM; audit logs for sensitive operations and artifact access. • Introduced content validation and malware scanning on ingest; wrote runbooks for incident response and key rotation. Impact • Increased throughput and reliability of ingest/search at scale; lowered P95 latency and cut deploy time/costs via CI/CD and image optimizations; standardized APIs and telemetry.

Core Backend (Node.js & PHP Frameworks) • Rebuilt and scaled the auto‑parts e‑commerce backend using Node.js/Express services alongside PHP/Laravel, exposing reliable ordering, accounts, and catalog APIs for 1,000+ daily users. • Implemented auth (JWT/OAuth2), rate‑limiting, idempotent webhooks, and request validation; added RBAC and audit trails for sensitive operations. APIs, Data & Performance • Designed B2B/internal APIs for real‑time data exchange (back‑office ↔ front‑office, vendor feeds), with monitoring and alerting on SLA breaches. • Tuned MySQL (InnoDB) with indexing and query plan optimizations; introduced background workers/queues for heavy tasks to improve responsiveness. Cloud, DevOps & Reliability • Migrated on‑prem workloads toward cloud‑ready architecture using Docker, then CI/CD pipelines for predictable, low‑downtime releases. • Added centralized logs/metrics and health checks; implemented backup/restore and disaster‑recovery playbooks. Frontend (light) • Modernized admin and catalog tools with React/Vue frontends over new APIs; improved UX around search, pricing, and inventory.