Josiah User
@josiahuser1
AI Engineer shipping production RAG and agentic LLM systems, designing scalable multi-tenant backends.
What I'm looking for
I’m an AI Engineer focused on shipping production RAG pipelines, agentic LLM systems, and GPU-accelerated inference. At Credentech Solutions, I own architectural decisions for AI/backend systems—evaluating retrieval, inference, and multi-tenant trade-offs—while leading client-facing technical scoping and translating business requirements into design specs.
In delivery, I’ve engineered end-to-end systems like a GPU-accelerated OCR pipeline for APB Bank achieving ~95% field-extraction accuracy on 500+ documents/day, with fault-tolerant multi-node inference sustaining ~99% uptime. I’ve also built a multi-tenant RAG customer support chatbot that lifts document-grounded answer accuracy to ~90% and keeps average response latency under ~3 seconds, plus a data-science-informed chatbot prototype using the OpenAI API and Streamlit.
Experience
Work history, roles, and key accomplishments
Associate Software Engineer
Credentech Solutions
Apr 2026 - Present (3 months)
Own architectural decisions for AI/backend systems, covering retrieval, inference, and multi-tenant trade-offs across production services. Lead client-facing technical scoping for AI deployments and mentor engineers on RAG pipeline design and FastAPI backend standards.
Junior Software Engineer
Credentech Solutions
Feb 2025 - Apr 2026 (1 year 2 months)
Built production AI features including a GPU-accelerated OCR pipeline and a multi-tenant RAG-based customer support chatbot. Implemented fault-tolerant inference, tenant isolation, secure access controls, and supporting tracking and ingestion services.
Data Science Intern
Quelit
Jul 2024 - Dec 2024 (5 months)
Developed a personalized chatbot using the OpenAI API with Streamlit and MongoDB-backed multi-turn conversation storage. Built logging pipelines to capture user interactions for persona and behavioral analysis.
Co-Founding Engineer
AI-Powered CBSE Learning Platform
Co-built an end-to-end CBSE learning MVP including RAG-based subject tutors and an OCR + evaluation engine for teacher answer-sheet grading. Delivered the full stack (FastAPI backend, React/Next.js frontend, Supabase) and deployed it for iteration based on demo-user feedback.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Integrated M.Sc., Computational Statistics and Data Analytics
2020 - 2025
Grade: CGPA: 7.64
Integrated M.Sc. in Computational Statistics and Data Analytics at Vellore Institute of Technology (2020–2025), graduating with a CGPA of 7.64.
Availability
Location
Authorized to work in
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Skills
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