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I'm Rohith Vasu, an AI / GenAI Engineer with 2+ years of hands-on experience building and scaling end-to-end production AI systems, including data pipelines, model training, and LLM-based RAG and agentic platforms. I thrive on shipping reliable AI products at scale and collaborating across data, backend, and cloud teams. In my work, I emphasize maintainable code, monitoring, and CI/CD-driven deployments to deliver impact for real-world users. I’m proficient in Python, backend APIs, evaluation, and cloud-native deployment on AWS. I enjoy turning complex AI ideas into robust services, continuously improving response quality, and driving production-grade AI systems from data to deployment.…I'm Rohith Vasu, an AI / GenAI Engineer with 2+ years of hands-on experience building and scaling end-to-end production AI systems, including data pipelines, model training, and LLM-based RAG and agentic platforms. I thrive on shipping reliable AI products at scale and collaborating across data, backend, and cloud teams. In my work, I emphasize maintainable code, monitoring, and CI/CD-driven deployments to deliver impact for real-world users. I’m proficient in Python, backend APIs, evaluation, and cloud-native deployment on AWS. I enjoy turning complex AI ideas into robust services, continuously improving response quality, and driving production-grade AI systems from data to deployment.

Rohith Vasu

AI Engineer, Data Scientist, AI Developer, +2

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I'm Rohith Vasu, an AI / GenAI Engineer with 2+ years of hands-on experience building and scaling end-to-end production AI systems, including data pipelines, model training, and LLM-based RAG and agentic platforms. I thrive on shipping reliable AI products at scale and collaborating across data, backend, and cloud teams. In my work, I emphasize maintainable code, monitoring, and CI/CD-driven deployments to deliver impact for real-world users. I’m proficient in Python, backend APIs, evaluation, and cloud-native deployment on AWS. I enjoy turning complex AI ideas into robust services, continuously improving response quality, and driving production-grade AI systems from data to deployment.…I'm Rohith Vasu, an AI / GenAI Engineer with 2+ years of hands-on experience building and scaling end-to-end production AI systems, including data pipelines, model training, and LLM-based RAG and agentic platforms. I thrive on shipping reliable AI products at scale and collaborating across data, backend, and cloud teams. In my work, I emphasize maintainable code, monitoring, and CI/CD-driven deployments to deliver impact for real-world users. I’m proficient in Python, backend APIs, evaluation, and cloud-native deployment on AWS. I enjoy turning complex AI ideas into robust services, continuously improving response quality, and driving production-grade AI systems from data to deployment.

Available to hire

I’m Rohith Vasu, an AI / GenAI Engineer with 2+ years of hands-on experience building and scaling end-to-end production AI systems, including data pipelines, model training, and LLM-based RAG and agentic platforms. I thrive on shipping reliable AI products at scale and collaborating across data, backend, and cloud teams. In my work, I emphasize maintainable code, monitoring, and CI/CD-driven deployments to deliver impact for real-world users.

I’m proficient in Python, backend APIs, evaluation, and cloud-native deployment on AWS. I enjoy turning complex AI ideas into robust services, continuously improving response quality, and driving production-grade AI systems from data to deployment.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Science Engineer at Hash Agile Technologies

June 1, 2024 - October 1, 2025

Architected and deployed production RAG systems using embeddings, vector databases, and FastAPI for internal HR workflows and external customer-facing websites (10+ clients). Engineered retrieval pipelines and implemented automated evaluation (RAGAS), reducing manual QA effort by 50–70% while continuously monitoring response quality. Developed agentic AI systems, including a SQL agent with tool-based query generation, execution validation, and error handling for data center recommendations. Designed a batch-based content generation agent using parallel RQ workers with task orchestration, retries, and structured outputs for scalable CSV processing. Trained and validated XGBoost and neural network-based classification models on datasets exceeding 2.3M records, achieving 93–97% validation F1 and integrating into prediction workflows. Deployed and operated AI services on AWS (EC2, ECS) using Docker Compose with automated testing and CI/CD pipelines.

Trainee Data Engineer at Digital Futures

June 1, 2023 - December 31, 2023

Built data pipelines using Python, SQL, and AWS to support analytics and ML workflows. Implemented Airflow DAGs for scheduled data ingestion and transformation, delivering curated datasets to BI dashboards.