Headline: Prompt Engineer, AI Trainer
AI Trainer at Alignerr (Jul 2025 to Present), India – Design and craft structured prompts, model responses, and evaluation datasets used to train and align large language models (LLMs) with real‑world use cases. Produce precise, high‑quality annotations that directly improve dataset accuracy, model reasoning, and overall output quality. Apply deep knowledge of RLHF principles to evaluate model outputs and surface failure modes, helping shape safer and more capable AI systems. Collaborate cross‑functionally to maintain annotation consistency and uphold rigorous quality standards across training pipelines.
Prompt Engineer at Labelbox (Jul 2025 to Present) – Craft high‑quality prompts, responses, and evaluation data to train and refine AI models. Produced high‑quality annotations to enhance dataset accuracy and model performance.
Prompt Engineer – AI Coder at Scale AI (Mar 2024 to Jun 2025) – Designed and executed complex, code‑driven prompt tasks to train and evaluate AI models across multiple programming domains including Python, C, C++, and JavaScript. Contributed to model refinement by providing structured feedback and high‑quality training examples, improving the model's ability to generate accurate, efficient, and well‑reasoned code. Applied expertise in software development concepts to craft prompts that challenged model capabilities and surfaced meaningful weaknesses for correction. Helped improve model performance on real‑world coding benchmarks through systematic and iterative evaluation methodologies.
Video Annotator at Highbrow Technology Inc (Nov 2024 to May 2025), India – Annotated large volumes of video data with high precision, labeling objects, actions, and events to support the training of computer vision and machine learning models. Maintained strict quality control standards to ensure annotation consistency across datasets, reducing model error rates.
Prompt Engineer at Soul AI (Sep 2023 to Mar 2024) – Trained AI models by authoring high‑quality prompts, model responses, and Q&A datasets specifically designed for Reinforcement Learning from Human Feedback (RLHF) pipelines. Evaluated model outputs for accuracy, reasoning quality, safety, and alignment, providing structured feedback that directly influenced model improvement cycles. Identified and flagged problematic model behaviours including hallucinations, unsafe outputs, and reasoning inconsistencies, contributing to safer AI deployment.
Marketing Team at Gairah Resorts (Mar 2021 to Oct 2023), Idukki, Kerala, India – Designed social media posts, brochures, and marketing materials to strengthen brand presence. Managed social media accounts and ensured consistent, engaging communication.
Media Specialist at Gairah Resorts (Mar 2021 to Sep 2023) – Designed social media posts, brochures, and marketing materials to strengthen brand presence. Managed social media accounts and ensured consistent, engaging communication.
Education: B.Tech. Electrical, Electronics & Communications Engineering, Government Engineering College Kozhikode – 2023
Higher Secondary Education, Computer Science, Government Highersecondary School Chathannoor – 2019
High School Diploma, GHSS Thrikkavu – 2019
High School, Government Higher Secondary School Navaikulam – 2017
High School Diploma, GHSS Poruvazhy – 2017
Core strengths include AI training, RLHF, prompt engineering, model evaluation, fine‑tuning, data/video annotation, computer vision, conversational AI, NLP, LLMs, and strong communication. Technical skills span Python, C, C++, JavaScript, RAG, vector DBs, and project coordination.