LLM evaluator
I analyzed image datasets and checked for errors.
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I am a research-focused Artificial Intelligence and Machine Learning professional with 7 years of combined experience in applied ML research, LLM evaluation, dataset engineering, and high-precision AI training workflows. My work spans LLM alignment, RLHF evaluation, hallucination and bias detection, synthetic data generation, and instruction-tuning support using QLoRA, SFT, and Unsloth. I have developed Python-based web scraping systems using BeautifulSoup and dynamic content handling techniques to acquire and structure datasets for machine learning pipelines. I design automated data cleaning and workflow orchestration systems to ensure scalable and reproducible experimentation. My experience includes large-scale conversational AI evaluation, gold response authoring, JSON dataset preparation, and bespoke dataset curation. Additionally, I have worked with JUCE and Audio DSP to experiment with signal processing workflows and prepare ML-ready audio datasets. My work integrates technical depth with a human-centered perspective on ethical and aligned AI systems.
I analyzed image datasets and checked for errors.
LLM evaluation on various criteria. Like accuracy, factual accuracy etc
QA and bounding boxes for object detection pipelines.
Doctor of Philosophy, Artificial Intelligence and Machine Learning
Master of Science, Machine Learning
Machine Learning Researcher
AI and Data Science Trainee