This is my profileContact via CazVidTejas
AI Generalist & Robotics Training Expert
Contact
Competencies
Demonstrated experience with RLHF.
Demonstrated experience with Prompt Engineering.
Demonstrated experience with Response Ranking.
Demonstrated experience with Hallucination Detection.
Demonstrated experience with Factual Verification.
Education
Languages
Summary
AI Generalist & Robotics Training Expert open to new opportunities
Experience
AI Generalist & Robotics Training Expert
Performed structured data annotation and RLHF tasks to enhance reasoning, instruction-following, and safety in LLM outputs.. Evaluated and ranked 1,000+ AI-generated responses for coherence, accuracy, and policy compliance.. Built robotics and multimodal training datasets involving task reasoning and real-world interaction labeling.. Maintained 95%+ quality accuracy across QA audits and iterative review cycles.. Improved model performance through systematic prompt refinement and structured feedback loops.
Associate – Network Engineering and Automation
Contribute to network engineering workflows focused on troubleshooting, operational efficiency, and reducing repetitive manual investigation.. Work with automation approaches involving REST APIs, network monitoring tools, and structured diagnostic workflows.. Explore RAG-based approaches to retrieve relevant technical information and support AI-assisted troubleshooting workflows.. Work with network technologies and monitoring environments, including Cisco Meraki and Zabbix.
Robotics and AI Generalist
Supported robotics AI data collection and quality assurance workflows involving first-person video recordings and annotated video data.. Reviewed raw and labeled video samples for compliance with task instructions, recording requirements, and data-quality expectations.. Supported data collection coordination and quality-control processes for robotics training data.. Contributed to workflows intended to prepare consistent, usable video data for AI and robotics training.
AI Generalist Level 2 – AI LLM Practice
Contributed to AI data workflows involving image translation, multimodal annotation, and AI training-data preparation for project-specific tasks.. Performed stationary-camera video annotation, labeling relevant visual information according to project guidelines.. Worked on video entity tagging to support consistent identification and labeling of entities across video content.. Supported image, audio, and video annotation, model-output evaluation, and quality-assurance activities.. Reviewed annotated data for instruction compliance, labeling consistency, and adherence to project-specific quality requirements.