What Shapes How I Think
- Awareness of impact — I try to think about who a system affects, not just whether it works.
- Ground-level experience — Working inside large systems early in my career taught me things that research alone could not.
- Evidence over assumption — I prefer to look at data before drawing conclusions.
- Staying a learner — The more I know, the more I realize there is still to learn.
Early Career — Engineering, Teaching & Research (Bangladesh, 2006–2017)
I started my career as an engineer in Bangladesh’s garment industry. Working inside that industry gave me a ground-level view of how large systems — supply chains, labor markets, corporate structures — affect the people inside them.
At the same time, I was a university teacher. I organized students for extracurricular programs focused on social awareness, including the conditions of workers in the industries around us. Getting students to look beyond their classroom and think about the real world was one of the most rewarding things I did in those years.
Out of that work, I co-founded the Garments Worker Welfare Committee — a research and community group focused on documenting worker conditions, publishing findings, and raising awareness among employers, academics, and policymakers. We published reports on workplace safety, worker welfare, and fair labor practices.
That combination — engineering, teaching, community-based research, and published findings — is what eventually led me toward a PhD and toward asking bigger questions about how systems are designed and who they serve.
Due to a difficult political environment, I eventually relocated my family to the United States. That experience of navigating complex and uncertain circumstances gave me a resilience and adaptability that I carry into every role I take on.
US Career — Research, AI & Ethical Systems (2013–Present)
PhD Research Completed a PhD in Consumer and Design Sciences focused on ethical consumerism and labor rights. Published in peer-reviewed journals including Vaccine. Received the ESRAP Best Research Paper Award in 2018.
International Research Presentations Presented findings at academic conferences and industry forums on fair trade, consumer awareness, and corporate responsibility. This work connected my early ground-level experience to formal academic research and policy conversations.
Responsible AI Engineering As an AI and automation engineer, I design systems with built-in bias monitoring, observability dashboards, and transparent guardrails. My background in human systems — understanding how decisions made at the design level affect people downstream — directly informs this work.
Professional Recognition Architected multi-agent AI frameworks using LangGraph, CrewAI, and N8N. Hold certifications in IBM Data Science, MIT AI Strategy, and SAFe 6. Received Humana’s North Star Award (2021) and Star Award (2023) for continuous learning and process optimization.
Ongoing
- Supporting nonprofits that use technology for community benefit
- Thinking carefully about responsible AI practices in the systems I build
- Publishing and presenting research at the intersection of technology and human impact
My background in human systems is not separate from my engineering work — it quietly informs how I approach problems.