I am a results-driven Generative AI Engineer with over 5 years of experience in machine learning, deep learning, and AI, specializing in large language models and multimodal systems. I design and fine-tune GPT, T5, BERT, and Transformer-based architectures using Hugging Face Transformers, LangChain, and OpenAI APIs to build advanced text, image, and code generation applications. I have hands-on experience deploying scalable AI pipelines across AWS, GCP, and Azure, integrating vector databases for retrieval-augmented generation, knowledge graphs for context-aware reasoning, and monitoring with Prometheus, Grafana, and OpenTelemetry. I am passionate about responsible AI, governance, and regulatory compliance, with emphasis on GDPR and HIPAA, and I enjoy turning model outputs into actionable business insights via dashboards and BI tools.

Akash Yanampally

I am a results-driven Generative AI Engineer with over 5 years of experience in machine learning, deep learning, and AI, specializing in large language models and multimodal systems. I design and fine-tune GPT, T5, BERT, and Transformer-based architectures using Hugging Face Transformers, LangChain, and OpenAI APIs to build advanced text, image, and code generation applications. I have hands-on experience deploying scalable AI pipelines across AWS, GCP, and Azure, integrating vector databases for retrieval-augmented generation, knowledge graphs for context-aware reasoning, and monitoring with Prometheus, Grafana, and OpenTelemetry. I am passionate about responsible AI, governance, and regulatory compliance, with emphasis on GDPR and HIPAA, and I enjoy turning model outputs into actionable business insights via dashboards and BI tools.

Available to hire

I am a results-driven Generative AI Engineer with over 5 years of experience in machine learning, deep learning, and AI, specializing in large language models and multimodal systems. I design and fine-tune GPT, T5, BERT, and Transformer-based architectures using Hugging Face Transformers, LangChain, and OpenAI APIs to build advanced text, image, and code generation applications.

I have hands-on experience deploying scalable AI pipelines across AWS, GCP, and Azure, integrating vector databases for retrieval-augmented generation, knowledge graphs for context-aware reasoning, and monitoring with Prometheus, Grafana, and OpenTelemetry. I am passionate about responsible AI, governance, and regulatory compliance, with emphasis on GDPR and HIPAA, and I enjoy turning model outputs into actionable business insights via dashboards and BI tools.

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Experience Level

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Work Experience

Generative AI Engineer at Alberta Health Services
July 1, 2025 - November 5, 2025
Designed and automated end-to-end ML and Generative AI pipelines using MLflow, Airflow, Kubeflow, and Vertex AI across multi-cloud environments; developed and fine-tuned LLM and NLP models to power intelligent chatbots, automated regulatory document analysis, and context-aware advisory assistants; built high-throughput data streaming and analytics systems; deployed forecasting and predictive models; implemented vector-based retrieval and RAG with FAISS, Pinecone, and Weaviate; enhanced explainability and governance with SHAP, LIME, Fairlearn, and LangSmith; delivered BI dashboards translating model outputs into executive insights; containerized AI microservices with Docker/Kubernetes and automated CI/CD; designed secure data governance with RDF/graph technologies.
Machine Learning Engineer at TCS - BMW
May 1, 2025 - May 1, 2025
Developed and optimized end-to-end ML pipelines using TensorFlow, PyTorch, and Scikit-learn for predictive analytics in healthcare-like contexts and supply chain optimization; leveraged distributed data systems (Spark/Hadoop/Databricks) for multimodal data; implemented real-time data ingestion with Kafka and Airflow; deployed scalable models on Azure ML and GCP Vertex AI with MLOps practices; enhanced interpretability with SHAP/LIME; built dashboards for stakeholder insights; containerized services with Docker/Kubernetes and CI/CD pipelines.
Machine Learning Engineer at TCS - ZF
December 1, 2022 - December 1, 2022
Designed large-scale ML models for demand forecasting and optimization; automated data ingestion/transformation with Airflow, Spark, and Pandas; built real-time streaming with Kafka/Flink; developed analytics pipelines for risk and operations; deployed models via containerized microservices with Docker/Kubernetes/Helm; implemented observability with Prometheus, Grafana, and ELK; delivered business-ready dashboards and REST/GraphQL APIs for decision support.
Data Scientist at ICICIDirect
October 1, 2021 - October 1, 2021
Developed predictive analytics solutions for risk forecasting and operational efficiency; built large-scale data processing pipelines with Spark/Hadoop/Databricks; automated ETL and orchestration with Airflow/NiFi/Kafka; created visualization dashboards (Tableau, Power BI) and reports for executives; applied NLP/ML for document classification and risk evaluation; containerized deployments with Docker/Kubernetes and CI/CD tooling; contributed to financial forecasting and client analytics.

Education

Bachelor of Science in Computer Science at Telangana University, India
January 11, 2030 - November 5, 2025

Qualifications

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Industry Experience

Healthcare, Financial Services, Software & Internet, Manufacturing, Professional Services