Amrutha Ch

About Amrutha Ch

AI/ML Gen AI Developer with 12+ years of experience designing, building, and deploying scalable AI, Machine Learning, and LLM-powered solutions for enterprise applications. Skilled in Python, TypeScript, React, FastAPI, and building cloud-native, microservices-based architectures with Docker, Kubernetes, and CI/CD pipelines.Expertise includes machine learning (regression, classification, clustering), deep learning, NLP, and Generative AI, with hands-on experience in LLM workflows, RAG pipelines, and vector databases (Pinecone, FAISS). Proficient in deploying AI/ML workloads on AWS, Azure, and GCP, integrating PostgreSQL and Redis for scalable data storage and retrieval.Demonstrated ability to translate business requirements into AI/ML solutions, develop RESTful APIs, and create React-based dashboards for real-time insights. Committed to secure SDLC practices, automated testing, and enterprise-grade deployments, delivering measurable business impact, improved efficiency, and trust in AI-driven solutions.In recent years, I’ve been deeply involved in Generative AI and LLM-based solutions. I’ve designed and implemented GenAI applications for document classification, summarization, information extraction, semantic search, and conversational analytics. This includes hands-on work with LLM frameworks, vector databases, prompt engineering, evaluation strategies, and building secure, scalable pipelines that integrate GenAI into existing enterprise systems.Alongside data science and AI, I bring a strong software engineering mindset. I’m comfortable designing APIs, building cloud-native data and ML services, and developing reliable pipelines that can scale. I enjoy working close to engineering teams, writing clean, maintainable code, and ensuring that models and AI systems are production-ready, observable, and aligned with business requirements.I’ve collaborated closely with business stakeholders, product teams, risk and compliance partners, and engineers to translate ambiguous problems into clear technical solutions. I value clarity, simplicity, and impact, whether that means improving model performance, reducing manual effort through automation, or enabling teams to make faster, better decisions with data.What motivates me most is solving meaningful problems with data and AI, staying hands-on with evolving technologies, and contributing to teams that value both strong engineering and thoughtful analytics. I thrive in roles where I can combine data science, AI/ML, GenAI, and software engineering to deliver solutions that matter.

Experience

1. Sr Ai Ml Engineer Gen Ai

   Bank Of Oklahoma

   Jul 2024 — Present · Tulsa, OK, US

   AI/ML Developer with hands-on experience designing, building, and deploying intelligent, scalable AI/ML and LLM-powered applications in a regulated banking environment. At Bank of Oklahoma, I collaborated with business, risk, and compliance teams to translate operational challenges into practical AI solutions, focusing on NLP, Generative AI, and document intelligence.Key contributions:Developed end-to-end Python-based pipelines for processing structured and unstructured banking data, supporting ML model training, evaluation, and real-time inference.Built transformer-based NLP pipelines for text classification, sentiment analysis, question answering, and document summarization.Designed and implemented RAG workflows using LangChain and Pinecone for accurate semantic retrieval from internal knowledge sources.Built and deployed scalable microservices and RESTful APIs using FastAPI, exposing AI/ML and LLM capabilities to internal applications.Deployed solutions on AWS cloud leveraging S3, Lambda, Glue, and Redshift, ensuring production readiness, security, and compliance.Integrated Redis caching to optimize API response times for real-time AI-powered applications.Developed React dashboards to visualize model predictions, confidence scores, and insights for business users.Followed secure SDLC practices, including SAST/DAST scanning and CI/CD pipelines (Azure DevOps / GitHub Actions), ensuring enterprise-grade deployment quality.Delivered measurable impact by reducing manual document review, improving operational efficiency, and increasing trust in AI-driven insights.

Education

• Jawaharlal Nehru Technological University Hyderabad (JNTUH)

  Bachelor of Technology - BTech, Computer Science