Sai Gilukara
AI Engineer | LLM Optimization, RAG Pipelines, Vector DBs | Building Robust GenAI Systems at Scale
- Role
- Machine Learning Engineer at CGI
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Sai Gilukara
Innovative AI/ML Engineer with 4+ years of experience designing, implementing, and…
Experience
Machine Learning Engineer
Feb 2024 — Present · TX, US
Led design and optimization of an LLM-powered candidate ranking system, evaluating multi-dimensional attributes for 1M+ profiles and reducing inference pipeline latency by 83%.• Architectured and optimized PostgreSQL schemas and Elasticsearch mappings for sub 50 ms query performance, including complex nested aggregations and synonym analysis.• Configured Docker containers for microservices, deploying to GCP Cloud Run and establishing blue/green deployments, reducing deployment time from 20 min to 8 min, with 99.899% uptime.• Built end-to-end CI/CD workflows in GitHub Actions: automated testing, staging deployments, and production rollouts with built-in error tolerance and rollback strategies.• Implemented AWS Lambda functions to batch-ingest and preprocess Greenhouse/Lever data, optimizing cloud costs by 40% while maintaining real-time freshness.• Delivered two major features within a two sprint: backend intelligence modules for candidate scoring and advanced APIs supporting polling, background jobs, and async event handling.• Drove Agile ceremonies—backlog grooming, sprint planning, daily standups—using Jira and Confluence; tracked progress with GitHub PRs and Linear to ensure bi-weekly deliverables.
Education
University of Maryland - A. James Clark School of Engineering
Master of Engineering - MEng, Robotics
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