I am a Senior Machine Learning Engineer who designs, deploys, and optimizes production-scale AI systems across finance, healthcare, e-commerce, and blockchain. I focus on building robust models, validating them, and monitoring performance with a strong emphasis on AI safety and explainability. I enjoy turning complex data problems into scalable solutions that align with security, compliance, and measurable business outcomes. I specialize in optimizing LLMs and building retrieval-augmented generation (RAG) applications using LangChain, OpenAI APIs, and vector databases like Pinecone and Weaviate. I deliver end-to-end data and AI platforms leveraging Databricks, Apache Spark, and Delta Lake across AWS, Azure, and GCP. My work emphasizes collaboration with cross-functional teams to deliver impactful results while maintaining governance and auditability.

Sachin Suresh

I am a Senior Machine Learning Engineer who designs, deploys, and optimizes production-scale AI systems across finance, healthcare, e-commerce, and blockchain. I focus on building robust models, validating them, and monitoring performance with a strong emphasis on AI safety and explainability. I enjoy turning complex data problems into scalable solutions that align with security, compliance, and measurable business outcomes. I specialize in optimizing LLMs and building retrieval-augmented generation (RAG) applications using LangChain, OpenAI APIs, and vector databases like Pinecone and Weaviate. I deliver end-to-end data and AI platforms leveraging Databricks, Apache Spark, and Delta Lake across AWS, Azure, and GCP. My work emphasizes collaboration with cross-functional teams to deliver impactful results while maintaining governance and auditability.

Available to hire

I am a Senior Machine Learning Engineer who designs, deploys, and optimizes production-scale AI systems across finance, healthcare, e-commerce, and blockchain. I focus on building robust models, validating them, and monitoring performance with a strong emphasis on AI safety and explainability. I enjoy turning complex data problems into scalable solutions that align with security, compliance, and measurable business outcomes.

I specialize in optimizing LLMs and building retrieval-augmented generation (RAG) applications using LangChain, OpenAI APIs, and vector databases like Pinecone and Weaviate. I deliver end-to-end data and AI platforms leveraging Databricks, Apache Spark, and Delta Lake across AWS, Azure, and GCP. My work emphasizes collaboration with cross-functional teams to deliver impactful results while maintaining governance and auditability.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Senior Deep Learning Engineer and Software Engineer at Capital One
January 1, 2020 - November 12, 2025
Integrated LLMs via OpenAI APIs to automate customer service and loan underwriting workflows, reducing manual resolution time by 60%. Designed and deployed FINRA- and PCI-DSS-compliant AI solutions for a national banking network, including LLM-powered claims and credit dispute processing that automatically extracted transaction categories, merchant details, and coverage summaries, boosting accuracy to 94%. Built and fine-tuned GenAI models for financial document summarization, reducing analyst review time by 35%, and developed transaction data processing microservices on Azure AKS and GCP GKE to unify ledger, account, and risk data across 200+ institutions, improving reconciliation accuracy by 25%. Architected and scaled fraud detection and AML models using PyTorch and Spark, influencing architecture and roadmap for services protecting millions of accounts. Delivered GenAI POCs for fine-tuning, quantization, and performance benchmarking to optimize model cost efficiency. Built real-tim
Machine Learning Engineer at Tempus AI
December 1, 2019 - December 1, 2019
Delivered patient engagement, appointment scheduling, and telehealth platforms reaching millions of users across hospital networks. Automated 80% of healthcare cloud infrastructure with Terraform and AWS CloudFormation, reducing deployment time for EHR and clinical systems from days to hours. Increased test coverage from 50% to 95% and reduced production incidents by 70% through automated testing (Jest, Cypress) across critical care workflows. Built predictive analytics pipelines and real-time clinical decision support using Databricks, AWS Lambda, and PyTorch, improving diagnostic accuracy and patient outcomes. Created JavaScript SDKs with WebAssembly acceleration for client-side AI inference in patient portals. Developed AI-powered microservices with Python, FastAPI, TensorFlow, and PyTorch for predictive analytics, disease risk scoring, and claims processing automation. Implemented real-time AI safety monitoring with anomaly detection and explainability to flag data irregularities a
Full Stack AI/ML Engineer at AddStructure
June 1, 2017 - June 1, 2017
Developed AI-powered personalized shopping platforms that analyzed real-time user behavior to drive product recommendations, increasing conversion rates by 28%. Built NLP models to classify and summarize product reviews, extract sentiment, and auto-generate product descriptions, reducing content creation time by 45%. Defined a multi-year AI-driven e-commerce modernization roadmap, including microservices for inventory, order management, and blockchain-based transaction tracking. Implemented active learning feedback systems to flag model misclassifications and improve personalization retraining efficiency. Overhauled legacy applications to improve reliability and scalability, and designed scalable microservices to process nearly $500M in secure transactions. Expanded platform capabilities for 400K+ active users by integrating robust APIs with recommendation engines and dynamic pricing. Ensured PCI-DSS and GDPR compliance through collaboration with governance and risk teams. Built blockc

Education

Bachelor of Computer Science at University of Illinois at Urbana-Champaign
August 1, 2008 - May 1, 2012

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Retail, Software & Internet, Other