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Rethvick Sriram Yugendra Babu
Junior AI/ML Software Engineer specializing in Generative AI and scalable data pipelines
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About
Built and operated large-scale biodiversity/ecological research platforms, integrating 50+ heterogeneous global datasets into a unified BIEN 3 schema on PostgreSQL/PostGIS and improving data consistency by 35%. Strong production engineering background (Linux monitoring, CI/CD performance gates, Docker on AWS/Azure) plus applied AI work building a Python RAG system (0.90 precision) and halving latency with Elasticsearch.
Experience
Education
Key Strengths
- Deployed 5 research platforms serving ~40,000 users
- Unified 50+ global datasets via BIEN 3 schema; reduced inconsistencies by 35%
- Diagnosed production slowdowns by correlating memory spikes and DB timeouts; optimized PostGIS indexing/query logic
- Implemented Linux monitoring + PostgreSQL slow-query logging and added performance checks into CI/CD to prevent regressions
- Built custom Python RAG system over 10k augmented docs achieving 0.90 precision
- Cut GPT/RAG response latency from ~1.2s to ~600ms using Elasticsearch and backend optimization
- Containerized complex R and Node.js environments with Docker to resolve dependency conflicts and enable reliable Linux cloud deployments
- Translated international researcher feedback into iterative platform features for 50k+ user usability needs
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