Professional Overview
I’m an AI and LLM-focused professional with around 3 years of hands-on experience across AI evaluation, data annotation, quality assurance, prompt engineering, and GenAI projects. I’ve worked with AI-generated content and LLM outputs, evaluated responses against detailed guidelines, performed QA and error analysis, and contributed to improving AI system quality and reliability. Alongside my freelance and project experience, I’m pursuing my BCA and building practical skills in Python, AI automation, and AI product development. I’m particularly interested in LLM applications, AI agents, evaluation systems, and building practical AI solutions that can solve real business problems.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
