Kartik Rajesh

I’m an AI-focused B.Tech student working toward building intelligent systems for safety-critical and high-impact real-world environments. Through my internships and projects, I’ve learned to combine ML/DL with probabilistic reasoning and explainable AI (XAI) to improve operational safety and reliability.

At Bhabha Atomic Research Centre (BARC), I’ve been developing an AI-based diagnostic and operator decision support system, including ML-driven anomaly detection and fault classification pipelines for real-time monitoring. At Tata Consultancy Services (TCS), I built a full-stack AI recruitment evaluation platform using Python, FastAPI, and the Google Gemini API, including contextual analysis pipelines and prompt-based LLM scoring, ranking, and batch processing.

I also apply AI automation to reduce manual effort and ship scalable workflows, as I did at Dataweave with LLM-powered NLP systems for structured extraction, summarization, and reporting. My SmartOps multi-agent supply chain framework and related research papers reflect my drive to deliver measurable performance improvements—like reducing logistics distance and improving anomaly detection precision—while keeping systems practical to deploy.