Naval Kabra
Ai Data Trainer @Careerflow.ai
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WORK HISTORY
Ai Data Trainer @Careerflow.ai
AI Data Training: Annotation (text, images, maps, videos, multimedia), quality evaluation, contentmoderation, OCR, GIS, entity recognition, sentiment tagging, metadata enrichment. Machine Learning Support/ Data Audit: NLPs, data workflows, LLM improvement, bounding box/segmentation/object detection tools, RLHF feedback, bias detection, QA support, project coordination.Improve annotation schemas, workflows, and data pipelines. AI Data Evaluation: Data analysis, prompt/response evaluation, multilingual speech & audioevaluations, model benchmarking, error analysis. Multilingual Transcription & Translation: English, Hindi, Marathi, context-sensitive translation andtranscriptions, speech-to-text annotation. Data Management: Data Entry & Verification, Quality Auditing, Data Normalization & Validation Data Labelling: Annotate screens and flows of UI/UX elements, Labelling objects in satellite and aerialimagery using QGIS/ArcGIS with geospatial precision, Invoices Digitization, etc
EDUCATION
Vellore Institute of Technology
Master of Technology - MTech, Automotive Engineering
Walchand Institute of Technology, Solapur
Bachelor of Engineering - BE, Mechanical Engineering
ARAI Academy
Master of Technology - MTech, Automotive Engineering
SKILLS
ABOUT NAVAL KABRA
Versatile AI Data Trainer & Automotive Engineer with 11+ years of experience spanning mechanical engineering, automotive R&D, and advanced AI data annotation. Skilled in applying engineering precision to diverse AI workflows including GIS imagery analysis, financial document digitization, UI/UX annotation, RLHF feedback, and multimodal data labeling. Adept at using tools such as QGIS, ArcGIS, CVAT, Labelbox, and RLHF frameworks to deliver high‑quality datasets that power next‑generation AI systems. Proven track record of bridging engineering expertise with AI innovation, ensuring accuracy, scalability, and impactful solutions across defense, finance, search, and user experience domains. Passionate about contributing to the ongoing AI revolution by combining technical rigor with data‑driven creativity.
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