Nikhil Bhardwaj

I am a Machine Learning and AI Engineer with a strong foundation in quantitative analysis and a focus on transformer-based and LLM-driven models. I combine research-oriented modeling with production-ready MLOps practices to deliver reliable AI systems.

In recent roles I improved data quality and built dashboards that increased stakeholder engagement, while delivering analytical insights that supported investment and business decisions. I implemented predictive models and processed large datasets to improve model accuracy and reporting.

My projects include implementing GPT-2 from scratch with a custom tokenizer and interactive Gradio interface, and a sentiment analysis pipeline that leverages DVC, MLflow, Docker, Kubernetes, Prometheus and CI/CD for reproducible deployments.

I hold an M.Tech from IIT Dhanbad and a B.Tech in Electrical Engineering, and I bring a pragmatic, automation-first approach to machine learning engineering and deployment.