Recommender Systems · Information Retrieval · LLMs · Responsible AI Google Developer Expert (ML/AI) · Women Techmakers Ambassador
🔭 What I work on — building responsible, sustainability-aware recommender systems for tourism and social good. Recent work appears at SIGIR ('25, '26), UMAP '26, ACM TORS, and JITT (Best Paper '25).
🛠️ Currently shipping — agentic LLM systems (Google ADK), open-weight LLM serving (Gemma via vLLM), and conversational recommenders on GCP.
📝 Writing & speaking — 50+ tech talks across 15+ countries. Latest tutorials on Medium. Talks list: ashmibanerjee.com/#talks.
🤗 On Hugging Face — dataset publisher (ashmib/SynthTRIPs) and Space publisher (ashmib/user-feedback).
📬 Open to roles — Applied/Research Scientist · Data Scientist · ML Engineer · Developer Relations · in EMEA or remote-first teams.
📌 Full list: Google Scholar
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TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations SIGIR '26 · paper · code
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Multi-Dimensional Evaluation of Sustainable City Trips with LLM-as-a-Judge and Human-in-the-Loop UMAP '26 · paper
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SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders SIGIR '25 · paper · code · dataset
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Modeling Sustainable City Trips: Integrating CO₂e Emissions, Popularity, and Seasonality into Tourism Recommender Systems 🏆 Best Paper Springer JITT '25 · code
When I'm not in front of a screen, you'll find me traveling (50 countries and
counting), collecting passport stamps and fridge magnets, or training as a
triathlete. 🏊♀️ 🚴 🏃♀️