Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Ravi Teja, a results-driven Senior AI Engineer with 10+ years of experience delivering scalable, production-grade AI/ML and data solutions across banking, healthcare, and retail. I specialize in end-to-end intelligent systems—including Generative AI, LLMs, NLP, predictive modeling, and real-time data pipelines—leveraging GPT, LLaMA, LangChain, LlamaIndex, RAG, embeddings, and vector databases to build context-aware enterprise applications. I excel at MLOps, cloud-native architectures, and data engineering, with hands-on experience across AWS, Azure, and GCP; I design robust model lifecycles, monitoring, governance, and compliance, translating complex business challenges into measurable outcomes like improved efficiency, risk reduction, and revenue growth.…I am Ravi Teja, a results-driven Senior AI Engineer with 10+ years of experience delivering scalable, production-grade AI/ML and data solutions across banking, healthcare, and retail. I specialize in end-to-end intelligent systems—including Generative AI, LLMs, NLP, predictive modeling, and real-time data pipelines—leveraging GPT, LLaMA, LangChain, LlamaIndex, RAG, embeddings, and vector databases to build context-aware enterprise applications. I excel at MLOps, cloud-native architectures, and data engineering, with hands-on experience across AWS, Azure, and GCP; I design robust model lifecycles, monitoring, governance, and compliance, translating complex business challenges into measurable outcomes like improved efficiency, risk reduction, and revenue growth.

Ravi Teja

Data Scientist, AI Engineer, AI Developer, +2





I am Ravi Teja, a results-driven Senior AI Engineer with 10+ years of experience delivering scalable, production-grade AI/ML and data solutions across banking, healthcare, and retail. I specialize in end-to-end intelligent systems—including Generative AI, LLMs, NLP, predictive modeling, and real-time data pipelines—leveraging GPT, LLaMA, LangChain, LlamaIndex, RAG, embeddings, and vector databases to build context-aware enterprise applications. I excel at MLOps, cloud-native architectures, and data engineering, with hands-on experience across AWS, Azure, and GCP; I design robust model lifecycles, monitoring, governance, and compliance, translating complex business challenges into measurable outcomes like improved efficiency, risk reduction, and revenue growth.…I am Ravi Teja, a results-driven Senior AI Engineer with 10+ years of experience delivering scalable, production-grade AI/ML and data solutions across banking, healthcare, and retail. I specialize in end-to-end intelligent systems—including Generative AI, LLMs, NLP, predictive modeling, and real-time data pipelines—leveraging GPT, LLaMA, LangChain, LlamaIndex, RAG, embeddings, and vector databases to build context-aware enterprise applications. I excel at MLOps, cloud-native architectures, and data engineering, with hands-on experience across AWS, Azure, and GCP; I design robust model lifecycles, monitoring, governance, and compliance, translating complex business challenges into measurable outcomes like improved efficiency, risk reduction, and revenue growth.

Available to hire

I am Ravi Teja, a results-driven Senior AI Engineer with 10+ years of experience delivering scalable, production-grade AI/ML and data solutions across banking, healthcare, and retail. I specialize in end-to-end intelligent systems—including Generative AI, LLMs, NLP, predictive modeling, and real-time data pipelines—leveraging GPT, LLaMA, LangChain, LlamaIndex, RAG, embeddings, and vector databases to build context-aware enterprise applications.

I excel at MLOps, cloud-native architectures, and data engineering, with hands-on experience across AWS, Azure, and GCP; I design robust model lifecycles, monitoring, governance, and compliance, translating complex business challenges into measurable outcomes like improved efficiency, risk reduction, and revenue growth.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Senior AI Engineer at PNC Bank

October 1, 2025 - Present

Architected and deployed enterprise-grade Generative AI solutions using LLMs (GPT, LLaMA, Claude) integrated with LangChain, Retrieval-Augmented Generation (RAG), and vector databases (Pinecone, FAISS) to automate customer support workflows, reducing response time by 40% and improving resolution accuracy. Designed and implemented secure prompt engineering frameworks with guardrails, token optimization, and context management, ensuring compliance with financial regulations and improving model reliability in production. Built real-time fraud detection platform using Apache Kafka, Spark Structured Streaming, and PySpark, enabling low-latency anomaly detection and improving fraud identification accuracy by 30%.

Senior Data Scientist at Walmart

March 1, 2024 - October 1, 2025

Designed and deployed advanced demand forecasting models using time-series techniques (ARIMA, Prophet, LSTM) and machine learning algorithms (XGBoost, LightGBM), improving inventory planning accuracy by 20% and reducing stockouts. Built scalable forecasting pipelines using PySpark, Spark MLlib, and Databricks, enabling near real-time demand predictions for millions of SKUs. Led Generative AI-powered analytics assistants using LLMs (GPT, LangChain) to enable business users to query data via natural language. Implemented feature engineering pipelines and ML lifecycle workflows with MLflow and Airflow.

Data Scientist at Cigna

January 1, 2023 - March 1, 2024

Developed predictive healthcare models using Logistic Regression, Random Forest, XGBoost, and Neural Networks for patient risk stratification, reducing hospital readmissions by 15% and improving care management outcomes. Built NLP pipelines (BERT, Hugging Face, spaCy) to extract insights from clinical notes, EHR data, and claims, improving data accessibility and decision-making. Implemented medical coding and NER models to identify diagnoses and procedures from unstructured data. Automated reporting and analytics via Airflow, SQL, and Python, reducing manual effort by 40% and improving delivery timelines. Ensured HIPAA compliance and secure deployment practices; deployed models via REST APIs and integrated with internal healthcare platforms.

Data Engineer at Rockline Solutions

January 1, 2020 - July 1, 2022

Designed scalable ETL/ELT pipelines using Apache Spark (PySpark), Airflow, and SQL; migrated legacy systems to AWS (S3, EMR, Redshift, Glue); built a centralized Delta Lake architecture for analytics. Optimized data processing with partitioning, caching, and parallel execution, reducing latency by 30%. Implemented real-time data pipelines with Spark Streaming and Kafka; collaborated with data scientists to provide clean, feature-ready datasets for ML and reporting. Built monitoring with CloudWatch and ELK Stack; documented data architecture and pipeline dependencies.

ETL Developer / Analyst at HSBC

January 1, 2016 - December 1, 2019

Designed, developed, and maintained ETL workflows using Informatica PowerCenter, SQL, and Unix shell scripting for large-scale financial data processing and regulatory reporting. Implemented data quality frameworks and reconciliation checks to reduce inconsistencies and errors by 20%. Optimized SQL queries and ETL jobs for high-performance reporting across global banking systems; collaborated with cross-functional teams to deliver scalable data solutions with governance and compliance.