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

AI/ML Engineer with about 4 years of experience building and deploying deep learning, NLP/LLM, computer vision, and predictive modeling solutions. Experienced in production GenAI systems including RAG and agentic workflows using LangChain/LangGraph, vector databases, semantic search, tool calling, and LLM evaluation for retrieval quality, groundedness, and hallucination reduction. Built scalable data pipelines and MLOps infrastructure using Spark, Airflow, Kafka, Docker, Kubernetes, FastAPI, MLflow, and AWS SageMaker/CI-CD. Passionate about reliable, secure (HIPAA-compliant) enterprise AI deployments with strong evaluation, observability, and cost/latency optimization.…AI/ML Engineer with about 4 years of experience building and deploying deep learning, NLP/LLM, computer vision, and predictive modeling solutions. Experienced in production GenAI systems including RAG and agentic workflows using LangChain/LangGraph, vector databases, semantic search, tool calling, and LLM evaluation for retrieval quality, groundedness, and hallucination reduction. Built scalable data pipelines and MLOps infrastructure using Spark, Airflow, Kafka, Docker, Kubernetes, FastAPI, MLflow, and AWS SageMaker/CI-CD. Passionate about reliable, secure (HIPAA-compliant) enterprise AI deployments with strong evaluation, observability, and cost/latency optimization.

Phani KAI

AI Engineer, Data Scientist, Full Stack Developer, +5





AI/ML Engineer with about 4 years of experience building and deploying deep learning, NLP/LLM, computer vision, and predictive modeling solutions. Experienced in production GenAI systems including RAG and agentic workflows using LangChain/LangGraph, vector databases, semantic search, tool calling, and LLM evaluation for retrieval quality, groundedness, and hallucination reduction. Built scalable data pipelines and MLOps infrastructure using Spark, Airflow, Kafka, Docker, Kubernetes, FastAPI, MLflow, and AWS SageMaker/CI-CD. Passionate about reliable, secure (HIPAA-compliant) enterprise AI deployments with strong evaluation, observability, and cost/latency optimization.…AI/ML Engineer with about 4 years of experience building and deploying deep learning, NLP/LLM, computer vision, and predictive modeling solutions. Experienced in production GenAI systems including RAG and agentic workflows using LangChain/LangGraph, vector databases, semantic search, tool calling, and LLM evaluation for retrieval quality, groundedness, and hallucination reduction. Built scalable data pipelines and MLOps infrastructure using Spark, Airflow, Kafka, Docker, Kubernetes, FastAPI, MLflow, and AWS SageMaker/CI-CD. Passionate about reliable, secure (HIPAA-compliant) enterprise AI deployments with strong evaluation, observability, and cost/latency optimization.

Available to hire

AI/ML Engineer with about 4 years of experience building and deploying deep learning, NLP/LLM, computer vision, and predictive modeling solutions. Experienced in production GenAI systems including RAG and agentic workflows using LangChain/LangGraph, vector databases, semantic search, tool calling, and LLM evaluation for retrieval quality, groundedness, and hallucination reduction.

Built scalable data pipelines and MLOps infrastructure using Spark, Airflow, Kafka, Docker, Kubernetes, FastAPI, MLflow, and AWS SageMaker/CI-CD. Passionate about reliable, secure (HIPAA-compliant) enterprise AI deployments with strong evaluation, observability, and cost/latency optimization.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at UnitedHealth Group

August 1, 2024 - Present

Improved oncology risk prediction accuracy by 50% through feature engineering and normalization in PyTorch time-series models; streamlined EMR + lab data ingestion with near real-time synchronization using Apache Spark and Airflow; deployed HIPAA-compliant FastAPI inference APIs on AWS SageMaker; architected enterprise GenAI solutions with RAG pipelines, vector databases, and semantic search; designed agentic AI systems to automate complex clinical workflows; established monitoring, governance, and CI/CD for production LLM deployments.

AI/ML Engineer at Infosys

May 1, 2021 - July 1, 2023

Improved SME loan default prediction accuracy by 35% using TensorFlow models and engineered transactional features; built Kafka real-time pipelines for credit card transactions to reduce fraud detection latency; fine-tuned LLMs with LoRA, knowledge distillation, and quantization to balance accuracy and inference cost; developed LLM pipelines with BLEU, ROUGE, and MMLU; automated KYC parsing with BERT-based NLP; orchestrated Azure Databricks pipelines and integrated multi-source datasets; implemented MLflow tracking and CI/CD on GCP AI Platform for model governance.