Applied AI Researcher · Project Lead · AI for Social Good
I am an Applied AI Researcher and Project Lead working at the intersection of responsible AI, AI for social good, AI safety, sustainability, human-centered AI, and public-interest technology.
My work focuses on building and evaluating AI systems that are not only technically capable, but also reliable, transparent, socially responsible, and useful in real-world settings.
A major motivation behind my work is AI for social good: exploring how artificial intelligence can support sustainability, public-interest challenges, nonprofit and public-sector initiatives, community-centered technologies, and applications that create meaningful social impact.
I hold a PhD in Interdisciplinary Engineering from IIT Guwahati and have worked across research, product, and project leadership roles involving globally distributed teams, applied AI prototypes, benchmarking workflows, stakeholder coordination, and interdisciplinary research translation.
I currently contribute to Women in AI / WAI USA Research Labs as a Project Manager, supporting collaborative research and applied AI initiatives with an emphasis on responsible, inclusive, and socially useful technology.
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LLM Evaluation & AI Robustness
Evaluating LLM judges, benchmark reliability, post-decision manipulability, evaluator robustness, and trustworthy evaluation workflows. -
Agentic AI Safety & Governance
Risk-scoping tool-using AI systems, external action capability, autonomy, memory, approval mechanisms, auditability, and deployment safeguards. -
Responsible AI & Trustworthy Deployment
Developing practical approaches for evaluating reliability, transparency, evidence preservation, accountability, and responsible AI deployment. -
AI for Social Good & Public Interest
Applying AI to socially meaningful challenges across nonprofit, public-sector, community, sustainability, education, and development contexts. -
AI for Sustainability & Climate
Sustainability benchmarking, environmental analytics, climate-related applications, solar-energy systems, SDG-aligned technologies, and data-driven environmental decision support. -
Human-Centered AI
Ethical conversational AI, mental-health AI safety, human-robot interaction, interpretability, and community-centered technology. -
Research-to-Practice Execution
Translating research questions into usable datasets, evaluation pipelines, prototypes, reports, publications, and deployable systems.
| Research Area | Paper |
|---|---|
| Agentic AI Risk | AgentRiskBOM: A Risk-Scoping Security Bill of Materials for Agentic AI Systems |
| LLM-as-Judge Robustness | Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction in LLM Judges |
| Mental-Health AI Safety | Mental Health AI Safety Claims Must Preserve Temporal Evidence |
| LLM-Driven Data Access | Talk to your data: Enhancing Business Intelligence and Inventory Management with LLM-Driven Semantic Parsing and Text-to-SQL for Database Querying |
| Environmental AI Systems | Creation of an FPGA-WSN-based Forest Fire Alert System using Data-Driven Attribute Relationship Determination |
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Women in AI — Project Manager Supporting collaborative AI research and applied initiatives, with a focus on responsible AI, research execution, and social impact.
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Omdena — Product Manager · Lead Machine Learning Engineer · Project Manager Progressed from machine-learning engineering into technical, project, and product leadership. Led globally distributed AI teams of up to 50 collaborators across 12 time zones, across applied ML and social-impact initiatives.
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German Federal Foreign Office / Data Innovation Lab — Research Team Lead Led research on the use of LLMs for multilateral negotiation and international cooperation, connecting applied AI research with policy, public-interest innovation, and sustainable-development contexts.
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IIT Guwahati — PhD Researcher · Graduate Teaching Assistant · IEEE WIE Chairperson Conducted interdisciplinary research spanning AI, engineering, sustainability, and real-world system design, alongside teaching and academic leadership.
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Applied AI Research & Engineering Worked with Hanson Robotics, SustainLab, Glint Solar, SENSTILE, The Normal Company across responsible conversational AI, sustainability analytics, NLP, computer vision, solar energy, human-robot interaction, and autonomous systems.
AI / ML: Machine Learning · Deep Learning · NLP · Computer Vision · Generative AI · LLM Evaluation · Responsible AI · Explainable AI
Programming / Data: Python · R · SQL · MATLAB · C · C++ · Jupyter
Applied Domains: AI Safety · AI for Social Good · Sustainability · Climate AI · Health AI · Conversational AI · AI in Food & Nutrition · Human-Robot Interaction · Public-Interest Technology
Leadership & Execution: Research Strategy · Project Management · Product Management · Benchmark Design · Stakeholder Coordination · Technical Writing · Distributed Team Leadership
Alongside research and technical work, I contribute to Women in AI, IEEE, open research initiatives, mentoring, and STEM inclusion programs.
I am especially interested in work that connects responsible AI, interdisciplinary research, and technology for social good — including applications for sustainability, public-interest organizations, and underserved communities.
I’m open to collaborations in research and applied initiatives that combine technical rigor, interdisciplinary collaboration, and real-world impact — from evaluation frameworks and research prototypes to practical AI systems and products.
I enjoy working at the intersection of research, product thinking, and execution, particularly in responsible AI, sustainability, and AI for social good.
I'm happy to connect with researchers, practitioners, organizations, nonprofit and public-interest teams, and academic labs working on responsible and practically useful AI.
