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Hi, I'm Sai Krishna CH, a Senior GenAI/ML Engineer with 10+ years of experience delivering AI and data solutions across airlines, retail, streaming media, telecom, pharmaceuticals, and banking. I enjoy turning complex business problems into scalable AI products, from data engineering and model development to production-grade deployments. I specialize in Retrieval-Augmented Generation (RAG) systems, fine-tuning LLMs, and building semantic search platforms using vector databases and knowledge graphs. I design multi-cloud AI architectures with responsible AI governance and leverage multi-agent workflows to solve regulated enterprise challenges.…Hi, I'm Sai Krishna CH, a Senior GenAI/ML Engineer with 10+ years of experience delivering AI and data solutions across airlines, retail, streaming media, telecom, pharmaceuticals, and banking. I enjoy turning complex business problems into scalable AI products, from data engineering and model development to production-grade deployments. I specialize in Retrieval-Augmented Generation (RAG) systems, fine-tuning LLMs, and building semantic search platforms using vector databases and knowledge graphs. I design multi-cloud AI architectures with responsible AI governance and leverage multi-agent workflows to solve regulated enterprise challenges.

Sai Krishna CH

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I'm Sai Krishna CH, a Senior GenAI/ML Engineer with 10+ years of experience delivering AI and data solutions across airlines, retail, streaming media, telecom, pharmaceuticals, and banking. I enjoy turning complex business problems into scalable AI products, from data engineering and model development to production-grade deployments. I specialize in Retrieval-Augmented Generation (RAG) systems, fine-tuning LLMs, and building semantic search platforms using vector databases and knowledge graphs. I design multi-cloud AI architectures with responsible AI governance and leverage multi-agent workflows to solve regulated enterprise challenges.…Hi, I'm Sai Krishna CH, a Senior GenAI/ML Engineer with 10+ years of experience delivering AI and data solutions across airlines, retail, streaming media, telecom, pharmaceuticals, and banking. I enjoy turning complex business problems into scalable AI products, from data engineering and model development to production-grade deployments. I specialize in Retrieval-Augmented Generation (RAG) systems, fine-tuning LLMs, and building semantic search platforms using vector databases and knowledge graphs. I design multi-cloud AI architectures with responsible AI governance and leverage multi-agent workflows to solve regulated enterprise challenges.

Available to hire

Hi, I’m Sai Krishna CH, a Senior GenAI/ML Engineer with 10+ years of experience delivering AI and data solutions across airlines, retail, streaming media, telecom, pharmaceuticals, and banking. I enjoy turning complex business problems into scalable AI products, from data engineering and model development to production-grade deployments.

I specialize in Retrieval-Augmented Generation (RAG) systems, fine-tuning LLMs, and building semantic search platforms using vector databases and knowledge graphs. I design multi-cloud AI architectures with responsible AI governance and leverage multi-agent workflows to solve regulated enterprise challenges.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Sr. GenAI/ML Engineer at Bank of America

January 1, 2025 - Present

Deployed enterprise-grade GenAI solutions supporting customer service, compliance automation, and fraud investigation workflows across regulated banking environments. Designed scalable Retrieval-Augmented Generation (RAG) pipelines indexing 5M+ internal documents with FAISS and Pinecone; implemented a hybrid BM25 + dense retrieval strategy to boost precision@5 by ~28%. Fine-tuned domain LLMs (GPT-4, Claude, LLaMA) using LoRA/QLoRA and PEFT to improve factual accuracy. Built multi-agent conversational workflows with context preservation and guardrails. Implemented monitoring with SageMaker Model Monitor and CloudWatch; established audit traces and model governance. Optimized inference costs via batching and cache strategies and developed reporting dashboards for operators and auditors.

AI/ML Engineer at Eisai

August 1, 2022 - December 1, 2024

Designed and delivered NLP/document intelligence solutions for knowledge automation. Built semantic search systems with Sentence Transformers, FAISS/Pinecone, and knowledge graphs (Neo4j) to improve retrieval and reduce hallucinations. Created RAG pipelines with LangChain and LlamaIndex; fine-tuned open-source LLMs (LLaMA family) with LoRA/QLoRA for domain alignment. Automated Azure-based infrastructure using Terraform; deployed RESTful microservices (Flask/FastAPI) and GraphQL APIs; established CI/CD pipelines; tuned Snowflake data models and ELT pipelines; built internal analytics UI and governance tooling. Implemented graph-based entity extraction and RBAC for pharma data governance.

Data Scientist at T-Mobile

May 1, 2020 - July 1, 2022

Developed end-to-end churn prediction models using Python and Scikit-learn; engineered feature pipelines from CDRs, billing history, and support logs. Achieved ROC-AUC improvement from 0.71 to 0.84 through hyperparameter tuning and feature selection. Built customer segmentation and uplift modeling to optimize campaigns; created time-series forecasts for network demand; applied NLP to support tickets for sentiment signals; deployed batch scoring for millions of records; implemented model retraining and deployment via Azure ML; established dashboards and governance; collaborated with product, marketing, and compliance teams.

Data Analyst at Netflix

June 1, 2018 - May 1, 2020

Analyzed large-scale user engagement and streaming behavior using Presto, Hive, and Spark on AWS data lakes. Built executive dashboards tracking DAU, watch time, retention, and content popularity with Tableau. Performed cohort analyses and supported A/B testing for UI and personalization features. Wrote complex SQL queries, built PySpark pipelines, and automated weekly/monthly reporting. Partnered with product and ML engineering teams to curate datasets for recommendation experiments and validate metric definitions across Iceberg-based data lakes.

Tableau Developer/Data Analyst at Walmart

April 1, 2016 - May 1, 2018

Designed and deployed enterprise Tableau dashboards monitoring sales, inventory, and customer trends; translated business requirements into scalable BI solutions. Automated KPI reporting, optimized SQL queries, and improved extract refresh performance. Built data models using joins, unions, and LODs; conducted category performance and baskets analyses to support merchandising and promotions. Collaborated with data engineering to enhance ETL reliability and delivered insights to stakeholders across marketing and operations.

Data Analyst at United Airlines

October 1, 2014 - March 1, 2016

Developed operational dashboards analyzing flight delays, cancellations, and on-time performance. Wrote SQL queries to transform flight, booking, and passenger data; built Tableau dashboards tracking load factor, turnaround time, and seat utilization. Conducted root-cause analyses of delay patterns and boarding inefficiencies; automated recurring reports; supported revenue management with demand and route-level analyses. Migrated legacy reports to Tableau and established data governance with cross-functional teams.