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Label Studio
Data Annotation Tech
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ImageBusiness Analyst (AI Training Projects). Brings 3+ years of professional experience across complex professional workflows, research, annotations, data labelling, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Chartered Financial Analyst Level I, Chartered Financial Analyst Institute (2025) and Bachelor of Commerce, Atma Ram Sanatan Dharma College, University of Delhi (2024). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.
Performed annotations on a large-scale AI training project. Leveraged the RLHF environment for use cases.
I participated in over twelve AI training projects focused on fine-tuning large language models (LLMs). My responsibilities progressed from annotation as a contributor to multi-level quality analysis and included leading quality assurance initiatives. I supported prompt engineering and benchmarking for projects including SFT, DPO, VQA, RAG, IQA, and multimodal evaluation tasks. • Consistently ranked among top contributors for quality, throughput, and low rework. • Led knowledge-sharing sessions and acted as interim team lead. • Built a custom GPT-based LaTeX tool to streamline data annotation processes. • Drove process improvements for annotation workflows, reducing turnaround time.
Designed the Quality Analysis framework, describing the guidelines for the review process for assessing the tasks before submission to the client
Worked as a Quality Analyst, checking the annotations being done by annotators and accordingly providing feedback for revisions if required.
Worked with a high-profile client, focusing on creating bounding boxes for specific question-answer sets.
Chartered Financial Analyst Level I, Finance
Bachelor of Commerce, Commerce
Business Analyst
Research Intern – Foreign Trade & Commerce
