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Sree vishnu raju Dommaraju - Gen AI Engineer

[email protected]

Location: Dallas, Texas, USA

Relocation: yes

Visa: Green Card

Resume file: Gen AI eng.c_1779800416588.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

PROFESSIONAL SUMMARY Senior AI/ML and Generative AI Engineer with 10+ years of experience delivering enterprise-scale solutions across Machine Learning, Data Engineering, Backend Development, and Cloud-Native Architectures supporting multiple industry domains. Extensive experience designing enterprise Generative AI platforms using Vertex AI, GPT-4 Class LLMs, Claude Models, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) frameworks supporting conversational intelligence. Strong expertise building scalable distributed data pipelines using Python, PySpark, Apache Spark, SQL, Pandas, and NumPy transforming enterprise datasets into analytics-ready and AI-ready architectures supporting large-scale operations. Hands-on experience implementing semantic retrieval systems using FAISS, Pinecone, embedding pipelines, semantic reranking, and vector similarity search enabling contextual enterprise knowledge discovery and intelligent document retrieval capabilities. Proficient developing advanced Machine Learning and NLP solutions using TensorFlow, Scikit-learn, Spark MLlib, MLflow, and modern AI orchestration frameworks supporting enterprise automation and predictive analytics initiatives successfully. Experienced building enterprise chatbots and multi-agent AI systems using LangChain, LangGraph, Prompt Engineering, Tool Calling, LoRA, QLoRA, and PEFT fine-tuning techniques improving contextual reasoning capabilities significantly. Skilled designing cloud-native AI platforms across Google Cloud Platform, AWS, and Microsoft Azure using Vertex AI, Azure Databricks, Azure Machine Learning, and AWS SageMaker supporting distributed enterprise infrastructures. Strong experience developing scalable backend services and inference APIs using Python, FastAPI, REST APIs, Microservices, Apache Kafka, and distributed event-driven architectures supporting enterprise operational workflows efficiently. Experienced implementing enterprise MLOps and GenAIOps ecosystems using Docker, Kubernetes, GKE, AWS EKS, Terraform, GitHub Actions, Jenkins, and Azure DevOps supporting scalable automated AI deployment pipelines successfully. Strong expertise managing enterprise datasets using PostgreSQL, MongoDB, Redis, Cloud Storage, Amazon S3, and Azure Data Lake Storage Gen2 supporting secure and highly scalable enterprise analytics environments consistently globally efficiently. Proven ability implementing enterprise monitoring and observability solutions using Prometheus, Grafana, Cloud Monitoring, AWS CloudWatch, Azure Monitor, and RBAC ensuring platform reliability and operational transparency across environments. Experienced collaborating within Agile Scrum environments participating in sprint planning, backlog refinement, architecture reviews, stakeholder discussions, and enterprise solution delivery across cross-functional engineering teams successfully. Keywords: artificial intelligence machine learning sthree