AnshuP Naik

I’m an aspiring AI/ML Engineer with hands-on experience building NLP-based applications like chatbots, predictive models, and LLM-powered systems. I enjoy turning data-driven ideas into intelligent products that work in real-world environments, not just prototypes.

In my recent experience, I developed and refined NLP models for text processing and automation, and architected REST APIs to deploy AI solutions in production environments. Earlier, as a Software Developer Intern at NALCO, I engineered a hospital chatbot for doctor availability and scheduling, integrating real-time APIs to reduce manual workload by 40% while optimizing performance and improving release cycles by 20%.

My projects reflect how I like to ship impact: a YouTube Summarizer that reduced content time by 70% and delivered LLM-driven Q&A with 85–90% contextual accuracy, an AQI Prediction System with 88% regression accuracy boosted via XGBoost, and an NLP-Based Resume Analyzer using SBERT with 85%+ semantic matching accuracy. I’m passionate about solving real-world problems using data-driven and AI-based approaches, with a strong foundation in data structures, algorithms, and backend development.