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Vikash Balodi

@vikashbalodi

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I build AI, ML, and RAG systems that improve research, reasoning, and operational decisions.

India

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I've evaluated 500+ LLM prompt-response pairs at Ethara AI, identifying reasoning failures, hallucinations, and alignment inconsistencies while supporting RLHF and post-training datasets.

I also built Research Pilot AI, a FastAPI-based RAG platform with sub-800ms retrieval and automated LLM fallback, and developed a ResNet-50 weed-detection platform that reached 94.7% accuracy.

Experience

Work history, roles, and key accomplishments

AI / LLM Post-Training Intern

Ethara AI

Feb 2026 - May 2026 (3 months)

Evaluated and benchmarked 500+ LLM prompt-response pairs against rubrics to improve instruction-following fidelity. Analyzed complex reasoning chains to identify edge-case failures, hallucinations, and alignment inconsistencies.

LLM Evaluation Prompt Engineering RLHF Data Curation Python Benchmarking

Data Science and Machine Learning Intern

YBI Foundation

Nov 2025 - Dec 2025 (1 month)

Developed end-to-end ML pipelines encompassing data cleaning, feature engineering, and exploratory data analysis. Trained supervised classification and regression models in Scikit-Learn, optimizing precision, recall, and F1-scores.

Python Pandas NumPy scikit learn Data Cleaning Feature Engineering EDA Model Evaluation

Education

Degrees, certifications, and relevant coursework

IILM University

Bachelor of Technology, Computer Science (AI/ML)

2023 -

Activities and societies: Relevant Coursework: Data Structures & Algorithms, Object-Oriented Programming (OOP), DBMS, Operating Systems, Artificial Intelligence, Machine Learning, Software Engineering.

Pursuing a Bachelor of Technology in Computer Science with a focus on AI/ML, including coursework in data structures, machine learning, and software engineering.