Preeti Garhwal
@preetigarhwal
AI Engineer specializing in GenAI, RAG, and scalable enterprise machine-learning solutions.
What I'm looking for
I am an AI Engineer with hands-on experience designing, developing, and deploying AI-driven enterprise applications, particularly in financial and storage domains. I build agentic AI solutions, RAG pipelines, and predictive models that translate complex business requirements into reliable production services.
At FICO I developed an autonomous AI Agent using Python and LangGraph to monitor data drift, built RAG systems for contextual model integrity, and engineered a real-time fraud detection pipeline with Kafka and Flink. I also contributed to integration and CI/CD best practices to ensure robust deployment and testing.
My background includes classical ML, deep-learning model optimization for edge devices, and experience with cloud ML tooling such as AWS SageMaker. I hold a B.Tech from IIT Roorkee and have completed specialized training in Generative AI, prompt engineering, and agentic AI.
Experience
Work history, roles, and key accomplishments
Designed and deployed an autonomous AI Agent system and RAG pipeline to monitor data shifts and ensure model integrity; built enterprise-scale predictive models and a real-time fraud detection system using Kafka and Flink.
Implemented and tested low-level storage software using Java and Python for UFS 3.1, developing custom Python test cases to validate performance and reliability improvements.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Roorkee
Bachelor of Technology, Engineering
2020 - 2024
Grade: CGPA: 7.832
Completed a Bachelor of Technology with a focus on engineering fundamentals and technical projects, graduating with a CGPA of 7.832 in July 2024.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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