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Hi, I'm Sai Ganesh Paindla, an AI Engineer with 5+ years designing and deploying production LLM and machine learning systems for financial services. My focus is on retrieval-augmented generation, retrieval evaluation, and regulated-environment delivery. I bring end-to-end expertise across the LLM stack, including prompt engineering, hybrid retrieval, LoRA/QLoRA fine-tuning, LangGraph workflows, RAGAS-based evaluation, and FastAPI/Kubernetes inference services. I partner with credit, compliance, and research stakeholders to deliver AI systems that pass model-risk validation and InfoSec reviews, and I’ve shipped governance controls that unblock production deployments.…Hi, I'm Sai Ganesh Paindla, an AI Engineer with 5+ years designing and deploying production LLM and machine learning systems for financial services. My focus is on retrieval-augmented generation, retrieval evaluation, and regulated-environment delivery. I bring end-to-end expertise across the LLM stack, including prompt engineering, hybrid retrieval, LoRA/QLoRA fine-tuning, LangGraph workflows, RAGAS-based evaluation, and FastAPI/Kubernetes inference services. I partner with credit, compliance, and research stakeholders to deliver AI systems that pass model-risk validation and InfoSec reviews, and I’ve shipped governance controls that unblock production deployments.

Sai Ganesh Paindla

AI Engineer, Data Scientist, Data Analyst, +1

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Hi, I'm Sai Ganesh Paindla, an AI Engineer with 5+ years designing and deploying production LLM and machine learning systems for financial services. My focus is on retrieval-augmented generation, retrieval evaluation, and regulated-environment delivery. I bring end-to-end expertise across the LLM stack, including prompt engineering, hybrid retrieval, LoRA/QLoRA fine-tuning, LangGraph workflows, RAGAS-based evaluation, and FastAPI/Kubernetes inference services. I partner with credit, compliance, and research stakeholders to deliver AI systems that pass model-risk validation and InfoSec reviews, and I’ve shipped governance controls that unblock production deployments.…Hi, I'm Sai Ganesh Paindla, an AI Engineer with 5+ years designing and deploying production LLM and machine learning systems for financial services. My focus is on retrieval-augmented generation, retrieval evaluation, and regulated-environment delivery. I bring end-to-end expertise across the LLM stack, including prompt engineering, hybrid retrieval, LoRA/QLoRA fine-tuning, LangGraph workflows, RAGAS-based evaluation, and FastAPI/Kubernetes inference services. I partner with credit, compliance, and research stakeholders to deliver AI systems that pass model-risk validation and InfoSec reviews, and I’ve shipped governance controls that unblock production deployments.

Available to hire

Hi, I’m Sai Ganesh Paindla, an AI Engineer with 5+ years designing and deploying production LLM and machine learning systems for financial services. My focus is on retrieval-augmented generation, retrieval evaluation, and regulated-environment delivery.

I bring end-to-end expertise across the LLM stack, including prompt engineering, hybrid retrieval, LoRA/QLoRA fine-tuning, LangGraph workflows, RAGAS-based evaluation, and FastAPI/Kubernetes inference services. I partner with credit, compliance, and research stakeholders to deliver AI systems that pass model-risk validation and InfoSec reviews, and I’ve shipped governance controls that unblock production deployments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at JPMorgan Chase & Co.

June 1, 2024 - Present

Lead in-house LLM/RAG copilot for financial research and reporting. Replaced legacy summarization with an LLM copilot serving 60K+ credit and research analysts; deployed a hybrid retrieval stack (FAISS + BM25) with metadata filters and governance controls (PII redaction, prompt-injection filters, per-user audit logging, prompt-versioning) in MLflow. Built a LangGraph multi-agent workflow for first-draft credit memos and earnings summaries with human-review gating. Containerized as a FastAPI service on Docker and Kubernetes with token streaming and response caching; achieved p95 latency under 1.5s and supported ~50K daily queries.

Machine Learning Engineer at Credit Risk Modeling & Financial Intelligence Platform (ML Stack)

April 1, 2020 - July 1, 2023

Implemented ML models powering consumer lending decisions, fraud monitoring, and customer analytics across a 1M+ active borrower portfolio. Built XGBoost-based uplift models, introduced Isolation Forest for anomaly/fraud detection, and PyTorch sequence models for session patterns; integrated PSI/KS drift monitoring and end-to-end deployment via Docker/Kubernetes with a FastAPI inference service; developed feature pipelines spanning bureau attributes, repayment behavior, and utilization volatility; conducted quarterly drift checks and performance monitoring.