Mohamed Dhanish K J
@mohameddhanishkj
I build reliable LLM training data, prompts, and agentic AI evaluations.
What I'm looking for
At Tata Consultancy Services, I've created and annotated 50K+ multimodal training samples for Amazon Q and LLM initiatives across technical, cloud, and scientific domains. I design prompts, evaluate AI-generated code and technical responses, and use RLHF-style feedback to improve model accuracy, reasoning, and instruction following.
I've reviewed datasets and 15K+ files for CBEval, PII detection, CodeBias, chatbot formatting, and Agentic AI classification while maintaining 100% data privacy adherence. My workflow improvements reduced annotation errors by about 25%, increased annotation efficiency by 20%, and reduced prompt iteration cycles by 30%.
I also turn complex technical documentation into usable guides and AI training pipelines, drawing on AWS, SageMaker Ground Truth, Python, ServiceNow, manual testing, and multimodal content analysis. My work on AI/ML animal-welfare monitoring and the InfyVerse virtual fitness studio reflects my interest in practical, human-in-the-loop AI systems.
Experience
Work history, roles, and key accomplishments
Created and annotated 50K+ multimodal training samples, improving LLM accuracy and reasoning. Evaluated AI-generated code and designed prompts, reducing iteration cycles by 30%.
Conducted manual testing and content reviews for AI platforms, including data annotation and written language data. Delivered high-quality content in fast-paced settings.
Earned ServiceNow CSA and CAD certifications. Developed a mini-application in ServiceNow, interpreting technical documentation to implement accurate solutions.
Machine Learning Intern
Barola Technologies
Aug 2021 - Aug 2021 (0 months)
Completed foundational training in Machine Learning with a focus on ML algorithms, including creating high-quality training data for models.
Education
Degrees, certifications, and relevant coursework
BSA Crescent Institute of Science and Technology
Bachelor of Technology, Electronics and Communications Engineering
2018 - 2022
Grade: 9.81/10.00
Bachelor of Technology in Electronics and Communications Engineering with a CGPA of 9.81/10.00, awarded Gold Medalist.
St. Mary's Anglo-Indian HSS
Higher Secondary Certificate, General Studies
Grade: 86.4%
Completed HSC with 86.4% in 2018 and SSLC with 97.2% in 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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