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I'm Deyoz Rayamajhirayamajhideyoz, an AI/ML engineer specializing in production-grade machine learning systems and agentic AI for enterprise automation. I design and deploy LLM-based agents, RAG pipelines, and predictive models that integrate with business workflows and enterprise data stacks. With a strong foundation in applied machine learning, statistical modeling, and Python-based backend engineering, I emphasize reliability, explainability, and robust monitoring. I thrive on turning complex data into actionable insights while maintaining governance and auditability in production environments.…I'm Deyoz Rayamajhirayamajhideyoz, an AI/ML engineer specializing in production-grade machine learning systems and agentic AI for enterprise automation. I design and deploy LLM-based agents, RAG pipelines, and predictive models that integrate with business workflows and enterprise data stacks. With a strong foundation in applied machine learning, statistical modeling, and Python-based backend engineering, I emphasize reliability, explainability, and robust monitoring. I thrive on turning complex data into actionable insights while maintaining governance and auditability in production environments.

Deyoz Rayamajhi

AI Engineer, AI Developer, Data Scientist, +2

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I'm Deyoz Rayamajhirayamajhideyoz, an AI/ML engineer specializing in production-grade machine learning systems and agentic AI for enterprise automation. I design and deploy LLM-based agents, RAG pipelines, and predictive models that integrate with business workflows and enterprise data stacks. With a strong foundation in applied machine learning, statistical modeling, and Python-based backend engineering, I emphasize reliability, explainability, and robust monitoring. I thrive on turning complex data into actionable insights while maintaining governance and auditability in production environments.…I'm Deyoz Rayamajhirayamajhideyoz, an AI/ML engineer specializing in production-grade machine learning systems and agentic AI for enterprise automation. I design and deploy LLM-based agents, RAG pipelines, and predictive models that integrate with business workflows and enterprise data stacks. With a strong foundation in applied machine learning, statistical modeling, and Python-based backend engineering, I emphasize reliability, explainability, and robust monitoring. I thrive on turning complex data into actionable insights while maintaining governance and auditability in production environments.

Available to hire

I’m Deyoz Rayamajhirayamajhideyoz, an AI/ML engineer specializing in production-grade machine learning systems and agentic AI for enterprise automation. I design and deploy LLM-based agents, RAG pipelines, and predictive models that integrate with business workflows and enterprise data stacks.

With a strong foundation in applied machine learning, statistical modeling, and Python-based backend engineering, I emphasize reliability, explainability, and robust monitoring. I thrive on turning complex data into actionable insights while maintaining governance and auditability in production environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

LLM & AI Application Development at Independent Projects

July 1, 2024 - Present

Lead development of an LLM-driven AutoML system automating end-to-end ML workflows (classification, regression, forecasting) with tool-based orchestration. Implemented structured pipeline execution with self-correcting loop across preprocessing, training, and evaluation to improve reliability and performance.

Data Scientist Trainee at Synergisticit

August 1, 2023 - July 1, 2024

Fine-tuned transformer-based Hugging Face models for email classification and summarization; built and deployed ML models for real-time tenant screening and web traffic forecasting (LightGBM), reducing manual review time and ad spend while generating revenue impact.

Graduate Teaching Assistant for Marketing Analytics BBA at CUNY Bernard M Baruch College

August 1, 2022 - December 1, 2022

Mentored 80+ students on data analytics and statistical modeling (regression, hypothesis testing, visualization).

Project Implementation & Business Development at Nepal

March 1, 2015 - June 1, 2020

Spearheaded strategic partnerships and client acquisition initiatives generating $3.5M annual revenue. Directed full project lifecycle for hydropower infrastructures, optimizing cross-functional workflows. Developed dashboards and reporting systems to monitor KPIs and risk; lectured on Software Project Management.