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Hello, I'm Adhithya Akella—GenAI / AI-ML Engineer with 4+ years of experience designing, deploying, and scaling production-grade Generative AI and ML systems across healthcare and enterprise environments. I specialize in LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, vector databases, and cloud-native deployment.\n\nI enjoy collaborating with product, compliance, and data teams to build reliable, scalable GenAI systems that users trust. My work spans data ingestion, model orchestration, offline evaluation, CI/CD, production monitoring, and enterprise-grade deployment, with a track record of measurable efficiency gains and reduced manual effort.…Hello, I'm Adhithya Akella—GenAI / AI-ML Engineer with 4+ years of experience designing, deploying, and scaling production-grade Generative AI and ML systems across healthcare and enterprise environments. I specialize in LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, vector databases, and cloud-native deployment.\n\nI enjoy collaborating with product, compliance, and data teams to build reliable, scalable GenAI systems that users trust. My work spans data ingestion, model orchestration, offline evaluation, CI/CD, production monitoring, and enterprise-grade deployment, with a track record of measurable efficiency gains and reduced manual effort.

Adhithya Akella

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hello, I'm Adhithya Akella—GenAI / AI-ML Engineer with 4+ years of experience designing, deploying, and scaling production-grade Generative AI and ML systems across healthcare and enterprise environments. I specialize in LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, vector databases, and cloud-native deployment.\n\nI enjoy collaborating with product, compliance, and data teams to build reliable, scalable GenAI systems that users trust. My work spans data ingestion, model orchestration, offline evaluation, CI/CD, production monitoring, and enterprise-grade deployment, with a track record of measurable efficiency gains and reduced manual effort.…Hello, I'm Adhithya Akella—GenAI / AI-ML Engineer with 4+ years of experience designing, deploying, and scaling production-grade Generative AI and ML systems across healthcare and enterprise environments. I specialize in LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, vector databases, and cloud-native deployment.\n\nI enjoy collaborating with product, compliance, and data teams to build reliable, scalable GenAI systems that users trust. My work spans data ingestion, model orchestration, offline evaluation, CI/CD, production monitoring, and enterprise-grade deployment, with a track record of measurable efficiency gains and reduced manual effort.

Available to hire

Hello, I’m Adhithya Akella—GenAI / AI-ML Engineer with 4+ years of experience designing, deploying, and scaling production-grade Generative AI and ML systems across healthcare and enterprise environments. I specialize in LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, vector databases, and cloud-native deployment.\n\nI enjoy collaborating with product, compliance, and data teams to build reliable, scalable GenAI systems that users trust. My work spans data ingestion, model orchestration, offline evaluation, CI/CD, production monitoring, and enterprise-grade deployment, with a track record of measurable efficiency gains and reduced manual effort.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at McKesson

June 1, 2024 - Present

Designed and deployed enterprise-grade GenAI applications using GPT-4, LangChain, and Hugging Face to power internal clinical and supply-chain knowledge systems across multiple business units. Architected production RAG pipelines leveraging FAISS and Pinecone, indexing hundreds of thousands of documents to improve response accuracy, grounding, and trust. Built LLM orchestration workflows with prompt versioning and retrieval strategies to ensure reliability in regulated environments. Implemented GenAI evaluation and monitoring for grounded, low-latency outputs in production. Deployed cloud-native ML systems on AWS (S3, EC2, SageMaker) with Docker and Kubernetes for continuous delivery. Implemented real-time inference and data streaming with Apache Kafka and Spark to support near real-time AI analytics. Collaborated with product, compliance, and data teams to productionize HIPAA-compliant GenAI systems.

ML Engineer at Virtual Infotech Solution

January 1, 2019 - August 1, 2022

Built and deployed production ML models for churn prediction and demand forecasting using Python and Scikit-learn, directly supporting client-facing business decisions. Developed deep learning and NLP solutions using BERT and transformer-based architectures for text classification and sentiment analysis, automating large-scale manual review workflows. Designed and maintained end-to-end data pipelines processing multi-terabyte datasets using SQL, Pandas, Spark, and Hadoop. Containerized and deployed ML services with Docker and CI/CD pipelines, ensuring consistent releases across environments. Delivered 15+ production ML systems from experimentation through deployment and post-release monitoring in Agile environments.