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I'm Sai Chandra M, a Gen AI & ML Engineer with 10+ years delivering large-scale AI/ML, LLM, NLP, and data engineering solutions across banking, insurance, and healthcare. I specialize in production-grade GenAI platforms, RAG systems, vector search, MLOps pipelines, and cloud-native ML deployments that improve operational efficiency, reduce risk, and enable data-driven decision-making. I've led PoCs, trained teams on GenAI best practices, and translated business needs into scalable AI solutions, with a strong emphasis on governance, drift monitoring, and bias detection to ensure secure, audit-ready deployments that meet regulatory requirements.…I'm Sai Chandra M, a Gen AI & ML Engineer with 10+ years delivering large-scale AI/ML, LLM, NLP, and data engineering solutions across banking, insurance, and healthcare. I specialize in production-grade GenAI platforms, RAG systems, vector search, MLOps pipelines, and cloud-native ML deployments that improve operational efficiency, reduce risk, and enable data-driven decision-making. I've led PoCs, trained teams on GenAI best practices, and translated business needs into scalable AI solutions, with a strong emphasis on governance, drift monitoring, and bias detection to ensure secure, audit-ready deployments that meet regulatory requirements.

Sai Chandra M

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm Sai Chandra M, a Gen AI & ML Engineer with 10+ years delivering large-scale AI/ML, LLM, NLP, and data engineering solutions across banking, insurance, and healthcare. I specialize in production-grade GenAI platforms, RAG systems, vector search, MLOps pipelines, and cloud-native ML deployments that improve operational efficiency, reduce risk, and enable data-driven decision-making. I've led PoCs, trained teams on GenAI best practices, and translated business needs into scalable AI solutions, with a strong emphasis on governance, drift monitoring, and bias detection to ensure secure, audit-ready deployments that meet regulatory requirements.…I'm Sai Chandra M, a Gen AI & ML Engineer with 10+ years delivering large-scale AI/ML, LLM, NLP, and data engineering solutions across banking, insurance, and healthcare. I specialize in production-grade GenAI platforms, RAG systems, vector search, MLOps pipelines, and cloud-native ML deployments that improve operational efficiency, reduce risk, and enable data-driven decision-making. I've led PoCs, trained teams on GenAI best practices, and translated business needs into scalable AI solutions, with a strong emphasis on governance, drift monitoring, and bias detection to ensure secure, audit-ready deployments that meet regulatory requirements.

Available to hire

I’m Sai Chandra M, a Gen AI & ML Engineer with 10+ years delivering large-scale AI/ML, LLM, NLP, and data engineering solutions across banking, insurance, and healthcare. I specialize in production-grade GenAI platforms, RAG systems, vector search, MLOps pipelines, and cloud-native ML deployments that improve operational efficiency, reduce risk, and enable data-driven decision-making.

I’ve led PoCs, trained teams on GenAI best practices, and translated business needs into scalable AI solutions, with a strong emphasis on governance, drift monitoring, and bias detection to ensure secure, audit-ready deployments that meet regulatory requirements.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Gen AI/ML Engineer at First Tech Federal Credit Union

June 1, 2024 - Present

Led development of an enterprise GenAI/ML platform powering LLM-assisted member support, document search, risk analytics, and automation across banking operations. Implemented end-to-end data pipelines (Snowflake, Azure Data Lake), feature engineering on Spark/Databricks, and RAG-based retrieval with LangChain, LlamaIndex, and Pinecone. Fine-tuned domain LLMs (LoRA/QLoRA/PEFT) to reduce hallucinations and improve answer accuracy. Built LangGraph-guided multi-step workflows and established LLM observability with Langfuse and Azure Promptflow. Drove 20–35% efficiency gains through AI-driven automation and ensured governance with audit-ready deployments.

Gen AI / ML Engineer at Homesite Insurance

April 1, 2023 - May 1, 2024

Designed GenAI/ML solutions for knowledge retrieval, automation, and risk analytics across underwriting and claims. Built data pipelines into Snowflake, Azure Data Lake, and BigQuery; created RAG systems surfacing policy clauses, claims histories, and underwriting rules. Implemented domain-adapted NLP models for classification, summarization, and entity extraction; established prompt engineering standards; built MLOps pipelines with MLflow, Docker, Kubernetes, and Airflow for repeatable, governed deployments. Achieved 2–3x reduction in document retrieval/processing time and 20–30% operating efficiency gains, contributing to significant annual savings.

AI/ML Engineer at Citigroup Bank

July 1, 2021 - March 1, 2023

Developed ML solutions for fraud detection, credit risk, churn prediction, and operational reporting across risk, credit, and compliance teams. Built real-time and batch scoring pipelines using Spark and Kafka; designed explainability tooling (SHAP/LIME) for regulatory audits; deployed via APIs/microservices on cloud platforms with governance and drift monitoring. Achieved improved fraud detection accuracy, reduced false positives, and ~$1M in annual savings through automation.

Data Scientist at ElevanceHealth

February 1, 2019 - June 1, 2021

Designed ML/NLP solutions for patient-risk scoring, claims forecasting, fraud detection, and care-management insights. Built ETL workflows with Spark, SQL, and Airflow; developed clinical NLP pipelines for entities and provider notes; experimented with transformer models for clinical NER and summarization; deployed production models with scalable pipelines; built time-series forecasts for claims volume; contributed to $3-5M annual impact across fraud reduction, resource planning, and care-management optimization.

Python Developer at CA Technologies - India

August 1, 2015 - December 1, 2018

Developed enterprise Python applications, APIs, and backend processes supporting scalable products. Implemented REST APIs using Django, Flask, and FastAPI; built ETL pipelines for diverse data sources; containerized services with Docker; collaborated with product teams to deliver features and maintain CI/CD pipelines.