Sai Chandra Palle
Machine Learning Engineer with 5+ years of experience building scalable, production-grade AI systems, including LLM-powered recommendation and multilingual NLP platforms across high-impact environments.
About
Machine Learning Engineer with 5+ years of experience building scalable, production-grade AI systems, including LLM-powered recommendation and multilingual NLP platforms across high-impact environments. Proven track record of improving retrieval diversity, engagement, and latency using generative AI techniques, transformer architectures, and ANN-based semantic search at scale.
Strong expertise in end-to-end ML and GenAI systems, from data pipelines and model training to real-time inference and cloud-native deployment on AWS infrastructure. Adept at designing distributed, high-throughput systems that combine AI/ML with robust backend engineering to deliver measurable business impact.
- 5 years' experience
- Joined June 2026
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Media & Entertainment
- Professional Services
- Computers & Electronics
More experts in San Francisco, United States
Work experience
Led LLM-powered generative retrieval and semantic ranking initiatives to boost diversity and engagement; implemented dense embedding pipelines for semantic search and RAG-based retrieval; developed ANN-based candidate generation with Faiss (IVF-HNSW) for scalable, high-quality recommendations; designed distributed data pipelines on AWS EMR with Spark; built scalable multi-stage inference workflows and microservice-based ML architectures (TorchScript deployment) to improve throughput and latency; leveraged AWS S3 and Iceberg on S3 for feature storage and experiment tracking.
Enhanced multilingual query understanding by 34% for code-mixed inputs; reduced API latency by 29% via optimized real-time inference pipelines and caching; increased data processing efficiency by 38% with scalable ETL on AWS Glue and S3 for multilingual datasets. Built and fine-tuned transformer-based models (XLM-R, mT5) for multilingual NLP tasks, deployed on AWS (EC2, SageMaker) with monitoring (CloudWatch) and robust backend services.
Education· 6
Certifications and awards
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