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Academic Professional

Doctor of Science in Business Administration and Economics

• On-Campus, Finland

Masters in Business Administration

• On-Campus, France

Micro Masters in Statistics and Data Science

• Distance Learning, USA

Micro Masters in Business - Data, Insights, and Analytics

• Distance Learning, USA

Micro Masters in Data Science

• Distance Learning, USA

Design Thinking

• Distance Learning, USA

B.S. in Aerospace Engineering

• On-Campus, Pakistan

AI Research Scientist

• Developing the internal design companion for product and computational designers, combining the Generative and Predictive AI solutions to support data-driven design optimization
• Spearheading development of multi-stages unstructured DB to act as ground truth for the LLM to enhance the data-driven design optimization process at SDIC

AI & Data Science Lead

• Developed an LLM-based venture innovator, improving product performance by grounding and contextualizing the model through multi-query, re-ranking RAG algorithms
• Created AI-based financial advisor, optimizing savings and investment plans by 25% through explainable AI advice using observer/observee agentic framework
• Designed short, medium, and long-term strategy for business incubation using generative AI, enhancing incubation cycle impact by 30% with a focus on explainability
• Mentored and nurtured startups, increasing implementation of AI solutions by 50%, focusing on ethical AI and bias mitigation in emerging markets of South Africa
• Envisioned AI and ML strategy, leading to a 15% improvement in organizational efficiency

Head of Data Analytics | Lead Data Scientist

• Improved data processing speed by 40% and predictive analytics model accuracy by 25% through the implementation of a big data analytics framework
• Led a cross-functional team to drive data-centric strategies, addressing biases and ensuring fair data practices
• Developed solutions that improved customer satisfaction by 30% by addressing biases in data analysis

Lead Data Scientist

• Built machine learning pipelines for battery performance prediction, achieving 95% accuracy by accurately estimating the algorithmic uncertainties
• Optimized battery material performance, increasing throughput by 40%, by using a combination of optimization algorithms
• Automated ML pipelines, classifying chemical compositions with 90% precision, focusing on explainability and fairness

Lead ML Engineer

• Improved image classification model accuracy by 12%, leading a team of 5 engineers to tackle recall minimization by incorporating HIL feedback
• Developed an object recognition pipeline, enhancing detection accuracy by 15%, with a focus on reducing bias in image datasets

Assistant Manager

• Implemented a fuel consumption estimator, increasing accuracy by 72%, by developing surrogate model
• Developed a SMART Maintenance System, optimizing schedules for 52 aircraft components through anomaly detection algorithm in time series data
• Introduced AI-enabled early warning systems, reducing flight risks by 27% through risk assessment models

Teaching Assistant

• Assisted in Aero-Vehicle Performance and Design courses by providing hands-on tutorials and problem-solving exercises
• Supported course material development, enhancing the learning experience for over 100 students by focusing on hands-on and applied content

How Is Generative AI Used for Persona Development?: A Systematic Review of 52 Research Articles

• Authors: Amin, D., Salminen, J., Ahmed, F., Tervola, M.H. S., Sethi, S. & Jansen, B.
• Journal: ACM Transactions on Computer-Human Interactions [Under Review]
• Preprint Available

Toward using personas for inclusive design: The question of quantifying diversity in persona sets

• Authors: Amin, D., Salminen, J., Jansen, B., & Sethi, S.
• Conference: AAAI/ACM Conference on AI, Ethics, and Society [Under Review]

Generative AI Personas Considered Harmful? Examining the Risks of Algorithmic User Representations in HCI Design

• Authors: Amin, D., Salminen, J., Jansen, B., Shin, J., & Kim, D. H.
• Journal: International Journal of Human-Computer Studies [Under Review]

Large language models (LLMs) in human-computer interaction: Using LLM-generated personas to model everything from minority views to entire ecosystems

• Authors: Amin, D., Salminen, J., Jansen, B., Kaate, I., & Akhtar, W.
• Book Chapter: In Artificial Intelligence & Large Language Models: A Scientific Perspective [In press]
• Publisher: CRC Press

"When AI Writes Personas": Analyzing Lexical Diversity in LLM-Generated Persona Descriptions

• Authors: Sethi, S., Salminen, J., Amin, D., & J., Jansen, B.
• Conference: Extended Abstracts of CHI'2025
• DOI: 10.1145/3706599.3719712

The Role of National Centers in Sustainable Development of Pakistan

• Authors: Naqvi, N., Ahmed, F., Ahmed, U., Amin, D., & Malik, F.
• Conference: International Conference on Aerospace Science and Engineering
• IEEE Xplore

PEP-Persona Ecosystem Playground

• Developing an interactive playground to support interaction of representative personas of different stakeholders among themselves and with human-in-loop
• Developing a framework to isolate user representation from the user information
• Tech Stack: Python, LangChain, Pinecone, Azure, LangServe, FastAPI

Bob-The Startup Advisor

• Created a selection and scoring agent to assist innovation hubs around the globe in evaluating and selecting startups in emerging markets holistically using LLMs
• Developed and deployed an enterprise level contextualized and grounded large language model for supporting startups through ideation and incubation stage
• Tech Stack: Python, LangChain, Pinecone, Azure, LangServe, FastAPI

Bayesian Optimization Network for Chemical Composition Optimization

• Implemented a project for generating chemical compositions and optimizing the process using targeted DNNs through BO, Active Learning, and Meta-learning models
• Tech Stack: Python, DragonFly, Bayesian Neural Networks, Genetic/Evolutionary Algorithms

AI‑Shyr: Where ML meets poetry

• A pre-LLM based poetry generator for Urdu language using corpus of local poets
• Tech Stack: Python, Streamlit, RNNs, LSTM, nGrams, SpaCy, NLTK

• Climate Change Scholar for French Excellence Scholarship by Campus France

• Forward Fellow for McKinsey Forward Program by McKinsey
• Next Generation Tech Booster Scholarship for Data Science Track by Udacity
• AWS Scholarship for ML Engineering Program by Udacity
• Honors for Applied Data Science Lab by World Quant University

• Future Learn Award for Thriving in Digital Workplace by University of Leeds
• Future Learn Award for Solving Problem with Technology by University of Leeds

• Salutatorian for Class of 2017 by Institute of Space Technology
• Outstanding Talent Award for Class of 2017 by Institute of Space Technology

• International Achievement Award for Class of 2017 by Institute of Space Technology

• National Champion for Office Specialization by Microsoft

• Bronze Medal for Poster Competition by Asian Science Camp

• Cum Laude for Class of 2017 by Institute of Space Technology

Professional Certificate in Artificial Intelligence and Machine Learning

• EITCA Certificate

Program in Data Science and ML - Making Data-Driven Decisions

Professional Certificate in Data Analytics

Professional Certificate in Project Management

Professional Certificate in Data Science

Specialization in Deep Learning

Specialization in Natural Language Processing

Specialization in Reinforcement Learning

Nano degree in AI Programming with Python

• Program Committee Member, WebScience Conference

• Participant, Hi Paris Summer School for AI & Data for Science, Business and Society

• Facilitator, Space Summer School at National Center of GIS & Space Applications
• Resource Person, World Space Week at Institute of Space Technology

• Keynote Speaker, 5th - 7th International Conference on Aerospace Science and Engineering