Anas Baig

About

Co-op engineer at EnFi who built and maintained a multi-tenant prompt library and LLM workflow tooling used by internal teams and external enterprise clients. Led TypeScript/React package design and standardized a typed workflow abstraction across disparate implementations (React, Go, JSON), improving reliability and developer adoption. Delivered measurable performance gains (~25% latency reduction) and owned end-to-end execution including docs, demos, debugging, and deployment.

Experience

Education

Key Strengths

• Designed and owned a typed abstraction for LLM workflows (input schema, prompt, model config, output schema, version metadata)
• Standardized inconsistent implementations across React, Go services, and untyped JSON configs
• Improved runtime performance by reusing a shared HTTP client and reducing async/middleware overhead (~25% latency reduction)
• Strong developer enablement: copy-paste quickstart, editor-friendly TypeScript types, demos, and FAQ
• Systematic issue resolution: reproduces with minimal repo, traces logs, adds instrumentation, patches and adds regression tests
• Effective in unstructured environments: ships MVPs quickly and owns end-to-end delivery (design, test, code, docs, deployment)
• Led monolith-to-event-driven migration using Kafka to prevent cascading failures
• Designed financial-workflow data integrity with outbox pattern + idempotency layer (Redis)
• Delivered 70% reduction in manual review effort and improved extraction accuracy to 92%
• Cut parsing/processing costs by 82% by replacing managed service with custom Go + Kafka architecture
• Deep multi-tenant data isolation expertise using Postgres RLS and permission layers
• Risk-managed backend migration (AWS Textract to custom Go/Postgres) via parallel run, feature flags, and incremental rollout (5% to 100%)
• Production observability and rollout monitoring using OpenTelemetry traces
• Identified and fixed partial-success async failure mode with idempotency keys, moving system to self-healing behavior