Technical work, people, and decisionsA real enterprise setting where planning, metrics, coordination, communication, and judgment come together.
Applied AI · Data Science · Decision Support · Agile/Waterfall/Hybrid
AI, Data, and Decisions for Real-World Systems
Ullas Das is a computer science graduate and senior technology program leader with nearly two decades of experience turning complex technical work into decisions, delivery, and working systems. He is now exploring fully funded MS/PhD research in applied AI: decision support, computational data science, human-centered AI, and trustworthy systems for engineering, agriculture technology, and enterprise environments.
Applied AIComputational data scienceDecision supportEngineering systemsAgriculture technology
Real Systems Experience
Nearly 20 years of technical and program leadership gives me a field view of how data, tools, people, deadlines, and risk interact in real organizations.
From signals to decisions
Across software, engineering, manufacturing, and agri-tech settings, the hard part is rarely data alone. The harder problem is helping people understand what the data means, what action is safe, and when human judgment should override the system.
1Turning noisy data into decisions people can act on.
2Designing AI tools that explain uncertainty instead of hiding it.
3Building prototypes that make research visible to students, industry partners, and funders.
Experience base
SIEMENSTOYOTATRUISTTRUSTAGESTAPLESBNY
2025-presentSenior Technical Project ManagerToyota via ByteWare, US
2022-2025Agile Program Manager / Scrum MasterSiemens DISW, US
2010-2022RTE / TPM / Portfolio ManagerCognizant Technology Solutions (CTS), US
2007-2009Senior Software EngineerNIIT Technologies, now Coforge, India
Research questions I want to pursue
Focused on applied AI, computational data science, decision support, and human-centered systems for engineering, agriculture technology, nano/data-driven environments, and enterprise work.
Research questions
1How can AI systems help experts make better decisions when evidence is incomplete, noisy, or distributed across many sources?
2How can data from engineering, agriculture technology, manufacturing, or software environments be turned into explanations that human teams can trust and act on?
3How can human-AI collaboration improve planning, coordination, risk visibility, and learning without weakening human responsibility?
4How should trustworthy AI governance work when technical models, human judgment, policy constraints, and operational pressure meet?
5How can practical software-engineering experience help convert research ideas into usable prototypes, demos, and decision-support tools?
What I can add to a research group
I can help a research group move from idea to working artifact: prototype apps, dashboards, websites, demos, and clear industry-facing narratives. I also bring public speaking, stakeholder communication, negotiation, team leadership, software engineering roots, .NET/programming experience, and hands-on generative AI prototyping.
Applied AI prototypesDecision-support demosData dashboardsFaculty-industry translationHuman-AI interactionSoftware engineeringPublic communicationAgri-tech / engineering systems
Background and work samples
Education, service, selected writing, public communication, and creative work that connect to the research direction.
Education and credentials
Academic foundation in computer science & engineering, with professional training across applied AI, Scrum, scaled delivery, and software systems leadership.
B.Tech CSEWest Bengal University of Technology
MIT PEApplied AI & Machine Learning
CSMCertified Scrum Master
SAFe® 5Scaled Agile Agilist
Academic and professional service
Invited reviewer for The International Information & Library Review, Taylor & Francis. Session Judge, SmartEarth 2025. These roles show professional service and judgment in reviewing or evaluating technical work.
Research-oriented writing
Selected writing on AI-supported decision-making, workflow intelligence, and governance in complex technical environments.
AI-driven Agile governance in enterprise SaaSEnterprise AI operations, governance, decision support, and compliance-aware systems.
Public record Request PDF
Public record Request PDF
AI-enabled sentiment analysis for Agile retrospectivesTeam reflection, sentiment signals, predictive insights, and decision support.
Public record Request PDF
Public record Request PDF
AI-enhanced engineering collaborationDistributed technical teams, collaboration, productivity, and decision-making.
Public record Request PDF
Public record Request PDF
Human-Centered Communication Background
Writing and film are not the center of this research profile, but they shape how I think about people, language, interpretation, and trust - all central to human-centered AI.
Media & Public Communication
Selected public-facing pieces where my work in digital transformation, AI adoption, and software delivery has been discussed or translated for broader professional audiences.
Deccan ChronicleTransformation of global development teams.Open mention
HackerNoonSaaS ecosystem transformation and Agile excellence.Open mention
India.comConversation on digital transformation and AI strategy.Open mention
OneIndiaFinancial AI and sentiment-analysis delivery story.Open mention
The Hans IndiaDigital transformation profile.Open mention
Open to faculty conversations
I am open to funded MS/PhD research conversations in applied AI, computational data science, decision support, trustworthy AI, agriculture technology, nano/data-driven engineering, and human-centered systems research.
Email: leoullas@gmail.com · LinkedIn: linkedin.com/in/ullasdas
LinkedIn QR