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Alankrit Srivastava
Intern Data Engineer specializing in Snowflake pipelines and AI/ML analytics
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About
Built and operated an end-to-end TypeScript/Node AI agent platform for high-volume financial data that generates explainable investment signals and automates execution via resilient Playwright browser automation. Uses Postgres + pgvector/Prisma for RAG retrieval, Redis for async orchestration, Zod-based boundary validation as a circuit breaker, and OpenTelemetry for tracing/latency monitoring; also designed a TypeScript SDK with semver, scoped bearer-token auth, CLI key rotation, and interactive Swagger docs.
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Key Strengths
- Owned end-to-end production TypeScript full-stack system (AI agent for financial signal + automated execution)
- Designs modular backend architectures with strong domain separation and dependency injection
- Builds resilient async workflows with Redis queues, retries, and state-machine-based orchestration
- Implements correctness safeguards: idempotency keys + Postgres unique constraints
- Strong data quality controls via boundary/runtime validation (Zod) used as circuit breaker
- Deep Playwright automation expertise for complex UIs (MFA, flaky states, UI changes, checkout edge cases, anti-bot)
- Production-grade observability using OpenTelemetry tracing and latency monitoring
- External developer platform experience: TypeScript SDK, scoped bearer-token auth, CLI tooling, semantic versioning, interactive Swagger docs
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