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MANOGNA VADLAMUDI
Junior AI Engineer specializing in LLM evaluation, prompt engineering, and AI orchestration
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LLM workflow builder who has deployed a personalized GPT experience (including Delphi AI-based knowledge ingestion) and built a LangChain/LangGraph job-aggregation pipeline that ingests, normalizes/dedupes, filters, then uses an LLM to rank and summarize matches. Emphasizes production reliability with structured outputs, retries/fallbacks, metric-driven evaluation, logging/prompt versioning, and A/B testing, and collaborates with non-technical stakeholders through demo-driven iteration.
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Key Strengths
- Built and integrated a personalized GPT experience for simulating conversations with public personalities
- Hands-on orchestration of multi-step LLM workflows using LangChain + LangGraph
- Designed an AI job-aggregation pipeline (ingest, normalize/dedupe, filter, LLM rank & summarize)
- Reliability-focused agent design (restricted tools, structured outputs, retries/fallbacks)
- Production-style testing and evaluation (unit tests per node, end-to-end golden dataset, metric-driven evaluation)
- Experimentation discipline (offline tests for retrieval/model choices, A/B testing before deploying changes)
- Effective collaboration with non-technical stakeholders via demos, plain-language explanations, and upfront success metrics
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