TAPAS . — Associate Consultant

I’m an AI researcher and data professional passionate about building responsible, neutral, and human-aligned AI systems. My journey began in data analytics — transforming raw data into actionable insights using SQL, Python, and Power BI — and has evolved into exploring how Large Language Models (LLMs) can generate unbiased, context-aware, and transparent outputs. At Snabbit, I contribute to data-driven decision-making and product analytics while continuing independent research in Natural Language Processing (NLP), Reinforcement Learning, and AI Ethics. I’m particularly interested in parameter-efficient learning approaches that enhance fairness and neutrality in AI models. A B.Tech. graduate in Computer Science from Gandhi Engineering College (GEC), I’ve also earned certifications from Google and LinkedIn in Artificial Intelligence, Data Analytics, and Machine Learning. Beyond work, I enjoy writing about emerging AI trends through my newsletter NextGen Tech, where I simplify complex concepts for the broader tech community. 💡 Areas of Interest: • Responsible & Explainable AI • Large Language Models (LLMs) • NLP & Model Alignment • Data Analytics & Visualization • AI for Social Good 🚀 Always eager to collaborate on projects at the intersection of data, ethics, and intelligence — let’s connect and build something meaningful.

Stackforce AI infers this person is a Data Science and AI professional focused on ethical AI development.

Location: Bengaluru, Karnataka, India

Experience: 6 mos