Supercharge your product by pairing Node.js microservices with OpenAI APIs. This masterclass teaches you how to design, implement, and operate LLM features—chat, summarization, extraction, semantic search, and agent-style workflows—using production-grade patterns for reliability, safety, and cost control.
- Service Architecture: API gateway to LLM microservice to vector store/tools; sync request/response flows.
- Prompt Engineering: Roles, few-shot templates, JSON/tool modes, deterministic prompts you can version.
- RAG Done Right: Chunking, embeddings, hybrid search, citations, freshness policies.
- Observability & Safety: Prompt/response logging (PII-aware), automated quality evals, toxicity/PII filters, red-team tests.
- Cost/Latency Management: Token budgets, response pruning, caching, batched requests, and smart model selection.
Nishchay is a Senior Software Engineer at Criteria Corp with over 6 years of experience in software engineering, including full-time, internship, and freelance roles across MNCs and established startups. He is an AWS and Salesforce Certified Developer with strong expertise in building end-to-end full-stack applications. A B.Tech graduate in Information Technology from JECRC, he also holds certifications in Machine Learning, Cognitive Class AI, and Google Digital Unlocked. He is passionate about leveraging technology to solve real-world problems, create social impact, and continuously learn while collaborating with diverse teams.
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