Aishwarya Nayak professional portrait

Aishwarya Nayak

AI Engineer • 4+ yrs • Shipping reliable LLM features — agentic workflows, RAG, evaluation & guardrails

Explore My Work

About Me

I’m an AI Engineer with 4+ years in software and an M.S. in Data Science (SUNY Buffalo). I turn LLM ideas into dependable product features: agentic automations, RAG with tight grounding, and lightweight evaluation + guardrails so behavior is predictable in production. I optimize for clarity, safety, and speed— small iterations, measurable outcomes, and features that stand up to real users.

  • AI Engineering: Prompt design, function/tool calling, RAG, agentic workflows, sensible fallbacks.
  • Reliability: Deterministic schemas, multi-run checks, rubric-based error tagging, observability.
  • Recent focus: n8n orchestration, Postgres + pgvector retrieval, OpenAI/Claude integrations.

Experience

Handshake — AI Engineer

2025 - 2026 • Buffalo, NY
  • Built evaluation & guardrail harnesses for multimodal tasks: deterministic answer schemas, multi-run checks, and rubric tagging to cut variance and shorten review loops.
  • Designed and shipped prompt libraries & test cases (text + image) targeting reasoning failure modes; documented provenance and stepwise solutions for reproducibility.
  • Prototyped agentic automations and RAG flows with metrics for task success, latency, and cost.

Reality AI Lab — AI Engineer (Projects)

2025 • Buffalo, NY
  • Prototyped LLM features (summarization, Q&A) with prompt templates and retrieval; iterated with human-in-the-loop checks.
  • Added lightweight observability and acceptance criteria to catch regressions early.
  • Orchestrated multi-step automations (n8n) and tuned retrieval to improve accuracy and latency.

Mocapay — Software/Data Engineer

2021 – 2023 • Delhi, IN
  • Developed Scala services; implemented Kafka-based event flows and data processing for downstream features.
  • Containerized and automated deployments with Docker to improve release reliability.
  • Added metrics/logging and lightweight runbooks to speed up issue triage and reduce regressions.

TCS — Software Engineer

2020 – 2021 • Indore, IN
  • Built Java/SQL modules and added unit/integration tests and CI checks to improve code quality.
  • Translated finance requirements into scoped deliverables; partnered with QA to close defects.
  • Documented components and supported handoffs across three functional teams.

Top Skills

Python
FastAPI
OpenAI
RAG (LlamaIndex)
Postgres
LangChain
n8n orchestration
Eval & Guardrails

Get In Touch

Let’s connect to build reliable, auditable AI systems.

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