Bhaskar Reddy

AI/ML Engineer @ Cigna Healthcare

About

AI/ML Engineer with 4+ years of experience building production-grade LLMs, Generative AI systems, and end-to-end ML pipelines. I specialize in NLP, Computer Vision, Multi-Modal ML, and RAG, with hands-on expertise in PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, and MCP.My recent work includes developing custom lightweight LLMs, fine-tuning GPT-4/Gemini, and engineering real-time multi-agent architectures for healthcare applications at Cigna—integrating speech, text, and visual processing with secure, HIPAA-compliant cloud deployments on AWS/Azure.Previously, I built adaptive RL models, financial recommendation engines, GNN-based insights, and advanced NLP pipelines using BERT/DistilBERT in the fintech domain.Technical focus areas include:• LLM Development & Fine-Tuning• Multi-Modal AI (Speech/Text/Visual)• RAG & Generative AI• Distributed Training & Optimization• MLOps (MLflow, Docker, K8s, Airflow)• Cloud AI Platforms (SageMaker, Azure ML, GCP)• API/Microservice Integration for real-time inference

Country

City

United States

Industry

Financial Services

Skill

Docker Swarm, Amazon EKS, AWS SageMaker, XGBoost, Microsoft Power BI, AWS Lambda, LangGraph, CrewAI, Pinecone, LangChain, Retrieval-Augmented Generation (RAG), Promt Engineering, Transformers, MLflow, Dvc, Apache Airflow, Apache Kafka, Apache Flink, Snowflake, PyTorch

Experience

AI/ML Engineer

Cigna Healthcare

2024-5 - Present · 2 yrs 4 mos

United States

Designed and deployed multi-modal generative AI agents for virtual therapeutic support, integrating speech, text, and visual processing to assist patients with aphasia and cognitive disorders. Built a custom lightweight LLM and fine-tuned models like GPT-4 and Gemini to create contextually aware and empathetic conversational behavior. Developed a real-time multi-agent system using LangGraph and Model Context Protocol (MCP) enabling streaming inference, incremental reasoning, fallback agents, and high-concurrency performance. Implemented RAG pipelines, speech-to-text/text-to-speech flows, and visual understanding via OpenCV to deliver a holistic patient interaction experience. Engineered scalable backend APIs (Node.js), deployed ML workloads on AWS/Azure, and ensured HIPAA-compliant data handling. Utilized Hugging Face, PyTorch, TensorFlow, Pandas, and NLTK for preprocessing, fine-tuning, and model optimization. Delivered a production-ready mobile interface using React Native. Key Skills: LLMs, Generative AI, RAG, Multi-Modal AI, LangGraph, MCP, NLP, CV, RL, PyTorch, TensorFlow, AWS, Azure, Node.js, React Native, HIPAA compliance

AI/ML Engineer

ByteWorks Technology Solutions

2020-7 - 2023-8 · 3 yrs 2 mos

India

Built AI-driven financial recommendation and analytics engines using Transformer-based NLP, reinforcement learning, GNNs, CNNs, and time-series modeling. Developed personalized investment and spending insights, boosting user engagement by 30%. Designed NLP pipelines using BERT, DistilBERT, word embeddings, and implemented sentiment analysis to tailor recommendations. Applied GraphSAGE/GNN for network-based financial insights and Bi-LSTMs for time-series forecasting. Built fraud detection and anomaly detection modules using CNNs and statistical modeling. Developed financial dashboards in React, secure backend APIs in Node.js, and deployed ML workloads on cloud environments for real-time inference. Ensured compliance with RBI and GDPR through secure data pipelines, ETL processes, and advanced preprocessing techniques. Key Skills: NLP (BERT/DistilBERT), GNNs, RL, CNNs, Financial ML, Time-Series, PyTorch, TensorFlow, React, Node.js, Cloud Deployment, GDPR/RBI Compliance