@shreydixit
Computer Science student and AI Data Annotator at Innodata Inc.; developed a RAG document QA pipeline with FastAPI and LangChain.
IndiaAt Innodata Inc., I annotate, evaluate, and review datasets and model outputs for AI and LLM training. I also check quality, identify edge cases, and follow accuracy guidelines.
I developed a RAG Document QA Pipeline that supports document uploads and context-aware LLM queries, integrating FastAPI, LangChain, and FAISS. I’ve also developed a responsive store web application and built a personal portfolio website.
Work history, roles, and key accomplishments
Annotate, evaluate, and review complex datasets and model outputs for AI and Large Language Model (LLM) training. Perform quality checks, identify edge cases, and ensure alignment with strict accuracy standards and guidelines.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Computer Science
2022 -
Pursuing a Bachelor of Engineering in Computer Science, with coursework in programming, OOPs, web development, and software engineering.
Intermediate, General
Grade: 79.4%
Completed Intermediate (Class XII) with 79.4%.
Introduction to Web Development, Web Development
Completed the Introduction to Web Development certification.
Git & GitHub for Beginners, Git & GitHub
Completed the Git & GitHub for Beginners certification.
Python for Everybody, Python
Completed the Python for Everybody certification.
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