Rahul Karthik Bonu
@rahulkarthikbonu
I build Python evaluation pipelines and retrieval systems that improve AI model accuracy.
United StatesWhat I'm looking for
At Holiday Channel, I design Python algorithms for conversational intent analysis, improving retrieval relevance by 30% and reducing validation errors by 25%.
Previously, at the University of North Texas and Outlier, I evaluated coding problems, assessed more than 17,000 prompts, and delivered reproducible solutions and feedback for AI training.
I've also built RAG assistants with Ollama, FastAPI, FAISS, BM25, and Python, combining semantic retrieval, re-ranking, and rigorous code validation.
Experience
Work history, roles, and key accomplishments
AI Engineer
Holiday Channel
Jul 2026 - Present (2 months)
Designed modular Python3 algorithms and data structures to analyze conversational intent categories, improving retrieval relevance by 30%. Implemented code validation and output consistency checks that reduced errors by 25%.
AI Engineer
Holiday Channel
Jul 2026 - Present (2 months)
Designed modular Python3 algorithms and data structures to analyze over 9 conversational intent categories, enhancing query understanding with a 30% improvement in retrieval relevance. Implemented meticulous Python3 code validation and output consistency checks that reduced errors by 25%.
Generative AI Engineer
University of North Texas
Jan 2025 - Aug 2025 (7 months)
Developed a Python3-based evaluation pipeline for coding problem analysis, assessing over 17,000 prompts to improve AI model accuracy. Built reusable components and contributed open-source code with documentation.
Developed a Python3-based evaluation pipeline for coding problem analysis, assessing over 17,000 prompts to improve AI model accuracy and validation standards. Built reusable Python3 components and contributed open-source code with clear documentation.
Coding Expert – AI Training
Outlier
Feb 2023 - Aug 2024 (1 year 6 months)
Supported Python3-based code validation for competitive programming tasks, delivering over 50 high-quality solutions under tight deadlines. Evaluated complex algorithmic challenges to enhance AI output accuracy by 30%.
Supported Python3-based code validation for competitive programming tasks, delivering over 50 high-quality, well-documented solutions under tight deadlines. Evaluated complex algorithmic challenges in Python3, enhancing AI output accuracy by 30%.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master's
2024 -
Grade: 4.0 CGPA
Pursuing a Master's degree with a perfect CGPA of 4.0, expected to graduate in May 2026.
University of North Texas
Master's
2024 -
Grade: 4.0
Pursuing a Master's degree with a perfect CGPA of 4.0, expected to graduate in May 2026.
Availability
Location
United StatesAuthorized to work in
Salary expectations
Skills
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