Divyansh Bansal

About Divyansh Bansal

Hello, I’m Divyansh Bansal, a Computer Science undergraduate (Class of 2026) with hands-on experience in Prompt Engineering, Large Language Models (LLMs), and applied AI systems.I currently work at the intersection of LLM behavior, evaluation, and data-driven optimization, with practical exposure to prompt optimization, supervised fine-tuning (SFT), RLHF principles, RAG pipelines, and model evaluation. My work focuses on improving response quality, alignment, and reliability in production-oriented AI systems through structured experimentation and human feedback.Previously, I worked as a Prompt Engineer at Frostrek AI, where I optimized prompts for real-world LLM deployments, evaluated model outputs using quality scoring and response ranking, and collaborated closely with cross-functional teams. Alongside this, I’ve contributed as an AI Annotator, supporting large-scale LLM training and evaluation through high-accuracy data labeling and feedback-driven analysis.My academic and project experience spans AI system design, NLP pipelines, computer vision, and data-driven evaluation, with projects ranging from ethical AI message routing systems to facial recognition and sentiment analysis applications. I enjoy working on problems that require both technical rigor and thoughtful analysis, especially where model behavior, data quality, and human feedback intersect.Beyond technical work, I’m naturally curious and analytical — drawn to understanding systems, patterns, and decision-making, whether in AI models or human behavior. I value clear communication, continuous learning, and building AI systems that are useful, aligned, and production-ready.I’m currently seeking opportunities in Applied AI, LLM Engineering, and AI Research–oriented roles, where I can continue building data-driven, reliable AI systems at scale.

Experience

1. Ai Annotator

   Innodata Inc.

   Dec 2025 — Present

   Annotated and labeled large-scale datasets to support LLM training and evaluation• Executed data labeling, response ranking, and quality validation with high accuracy• Communicated effectively with project leads to adapt to evolving annotation guidelines

Education

• Indian Institute of Technology, Kanpur

  Diploma of Education, Cyber Security and Ethical Hacking

• ITM UNIVERSITY, GWALIOR

  Bachelor of Technology - BTech, Computer Software Engineering