Eisha Moin
@eishamoin
I build production-grade GenAI, RAG, and machine learning systems that automate enterprise workflows.
What I'm looking for
At TenX, I build agentic AI systems for enterprise clients, including PwC Australia, where my workflows automated data operations and reduced engineering overhead by approximately 75%. I've also delivered LLM-powered ETL migration, LangGraph reconciliation agents, data-quality remediation workflows, and Azure RAG chatbots for document Q&A.
Previously at Systems Limited, I built GCP recommendation engines and an NLP resume-shortlisting application that achieved approximately 85% accuracy while reducing processing time by approximately 70%. I bring hands-on experience across GenAI, NLP, tabular ML, cloud platforms, and MLOps, and I enjoy mentoring junior team members on practical Generative AI applications.
Experience
Work history, roles, and key accomplishments
Data Scientist
TenX
Oct 2023 - Present (2 years 10 months)
Developed agentic AI workflows for a Big 4 client, reducing engineering overhead by ~75%. Built LLM-powered ETL migration and LangGraph-based reconciliation and process mapping systems, and deployed a RAG chatbot on Azure.
Education
Degrees, certifications, and relevant coursework
National University of Sciences and Technology (NUST)
Bachelor of Software Engineering, Software Engineering
2017 - 2021
Grade: 3.7/4.0
Bachelor of Software Engineering with a CGPA of 3.7/4.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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