Shambhavi User
@shambhavihiwase
AI/ML engineer focused on LLM-powered automation, RAG workflows, and MLOps-driven model reliability.
What I'm looking for
I’m an AI/ML Engineer with 9 months of hands-on internship experience building LLM-powered automation workflows, REST API middleware, and ML pipelines. At Mexuri, I engineered an agent orchestration platform for end-to-end business workflows and strengthened LLM output quality using prompt engineering (chain-of-thought, few-shot, RAG) with quality tracking via Weights & Biases.
I also focus on production-ready integration and reliability—developing REST API middleware for modular LLM provider/tool plug-ins, and implementing retry logic with exponential backoff that improved pipeline reliability by approximately 25% during transient failures. My academic work includes QLoRA fine-tuning for a Text-to-SQL generator, an LLM-powered code review assistant, and an explainable loan approval system using XGBoost with Optuna and SHAP—backed by a strong foundation in MLOps practices like experiment tracking and observability, and I’m now looking to grow into a full-time AI/ML engineering role.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer Intern
Mexuri
Nov 2025 - Present (8 months)
Engineered an AI agent orchestration platform for automating end-to-end business workflows, using prompt engineering (chain-of-thought, few-shot, RAG) and quality metric tracking with Weights & Biases. Developed REST API middleware for LLM connector integrations and built data preprocessing pipelines and reliable external API retry logic.
Education
Degrees, certifications, and relevant coursework
SRM University, Chennai
Master of Computer Applications, Artificial Intelligence and Machine Learning
2023 - 2025
Grade: CGPA: 9.43 / 10.0
Pursued an M.C.A. specializing in Artificial Intelligence and Machine Learning, with strong academic project experience in applied ML and generative AI. Completed coursework and projects building foundations in MLOps practices such as experiment tracking and observability.
Kamla Nehru Mahavidyalaya
Bachelor of Computer Applications, Computer Science
2020 - 2023
Grade: CGPA: 7.00 / 10.0
Completed a B.C.A. in Computer Science, building core programming and computing fundamentals. Achieved a CGPA of 7.00 / 10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/shambhuhiwaseSocial media
Job categories
Skills
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