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Avinash K
Mid-level Software Engineer specializing in AI/LLM and distributed systems
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Recent internship project at Google Workspace building an LLM-driven Python backend pipeline to extract/enrich NLP features from messy customer web domains and integrate them into a Domain Feature Store for personalization and promotions. Also has hands-on Kubernetes/Docker deployment experience for a Digital Signage SaaS backend with GitHub Actions CI, plus strong streaming-systems knowledge (Kafka exactly-once, schema evolution, Flink scaling) and built an information retrieval system handling 30,000+ cases.
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Key Strengths
- Owned end-to-end Python backend pipeline for LLM-based feature extraction and enrichment
- Practical web-data preprocessing (HTML tag/content extraction) to improve LLM accuracy and reduce token usage
- Deployed Kubernetes-based backend for a Digital Signage SaaS platform using Docker
- Implemented CI automation for build and push stages with GitHub Actions
- Deep understanding of streaming reliability patterns (exactly-once via idempotent producers and transactions)
- Scalability planning for streaming systems (partitioning, horizontal scaling with Flink)
- Built scalable information retrieval system processing 30,000+ cases, replacing manual curation
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