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Alekhya Parimala Koppolu
Mid-level AI/ML Software Engineer specializing in data pipelines, BI dashboards, and computer vision
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About
Graduate Assistant Intern at Friends University who built and deployed a GenAI-driven requirement understanding system that automates extraction and semantic grouping of technical requirements from large unstructured documents. Demonstrates strong LLM engineering rigor (golden datasets, regression testing, post-processing validation) and production-minded delivery using LangChain/LlamaIndex orchestration, FastAPI microservices, Docker, and cloud deployment.
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Key Strengths
- Built and deployed a GenAI requirement-understanding system to production for extracting/grouping requirements from unstructured documents
- Designed end-to-end LLM + embeddings pipeline (ingestion, reasoning, clustering/retrieval) and served via FastAPI microservices
- Implemented multi-layer evaluation with gold-standard/edge-case benchmarks (precision/recall/consistency) plus automated regression testing
- Optimized LLM workflows for performance and scalability using async processing, efficient vector stores, batch processing, Docker, and cloud deployment
- Strong orchestration experience with LangChain and LlamaIndex for multi-step RAG and agentic workflows
- Effective collaboration with non-technical stakeholders (faculty/research staff) via discovery sessions, iterative feedback, and adoption-focused delivery
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