Hello, I’m Ankita Upadhyay
I am an AI and ML student, ELIZA Scholar, and software engineer based in Darmstadt. I am drawn to the human side of intelligent systems: how they explain themselves, support better decisions, and genuinely help people.
From building accessible education software to exploring reliable multimodal AI for scientific writing, I bring equal parts curiosity, care, and practical engineering.
05 / Achievements
A few recognitions and communities that have kept me learning, building, and showing up with confidence.
Featured by the Zuse School ELIZA community for a human centered perspective on AI.
View feature ScholarshipSelected for academic funding, industry exposure, and research guidance in AI and machine learning.
View ELIZA profile 2023Recognized with my team for Saathi, our AI chatbot project.
See achievement Competitive codingPlaced at an intercollegiate coding event at SLRTCE.
See achievement Competitive codingFirst place recognition at a competitive coding event at SLRTCE.
See achievement Competitive codingRunner up recognition from the Codeyantra programming competition.
See achievement Student leadershipServed the SLRTCE student community during the 2022 to 2023 academic year.
View role09 / Beyond my CV
My journey moves between software engineering, machine learning, research, and the human questions that make technology worth building.
I am pursuing an MS in Artificial Intelligence and Machine Learning at TU Darmstadt as an ELIZA Scholar, with a growing interest in trustworthy and explainable AI.
Before research, I spent over two years building accessible, real time educational software. That experience shapes how I think about rigor, usability, and impact.
I enjoy reading, writing poems and songs, singing, and painting. I value ideas that bring people together and leave a positive mark.
06 / Learning profiles
Explore my verified technical learning profiles.
02 / Current work
I am interested in methods that make AI systems reliable, interpretable, and useful in high stakes knowledge work.
Current work
In an early stage literature review with Dr. Yue Feng at TU Darmstadt, I am investigating how multimodal AI can assess factual consistency and semantic alignment across scientific text, figures, tables, captions, and citations. My goal is to contribute to feedback that is reliable, explainable, and useful for scientific writing.
03 / Experience
Each chapter taught me something different about solving problems, building for people, and staying curious.
May 2026 to present
Early stage literature review with Dr. Yue Feng, Assistant Professor, ELLIS Member and Co Advisor at UKP Lab, TU Darmstadt
Jul 2023 to Oct 2025
Mumbai, India
Feb 2023 to July 2023
Mumbai, India
04 / Published research
Published work from my early projects, including the first ideas that led me towards research.
Research paper, June 2023. IEEE National Student’s Conference on Innovation in Rural Development, SSGMCE.
Read publicationResearch paper, April 2022. International Journal of Research and Analytical Reviews.
Read publicationResearch paper, June 2021. International Research Journal of Engineering and Technology.
Read publicationSurvey paper, March 2021. International Journal of Scientific and Research Publications.
Read publication07 / Projects
Projects where I combined curiosity, engineering, and the wish to make technology more useful.
July 2022
AI driven mental health support platform using deep learning, NLP, Flask API, and React. It earned 4th rank at IIT Bombay RESCON.
2023
A modern React e commerce application designed around clean product browsing and a smooth, responsive user experience.
2023
A deep learning project that models Bitcoin price trends using LSTM based time series forecasting.
2023
A TensorFlow based NLP project that classifies sarcasm in text through sequence modeling and contextual embeddings.
2022
A web application that condenses user supplied text with NLP techniques and adjustable summary length.
2022
A real time computer vision project that replaces a selected cloth colour with the captured background.
01 / Education
A progression from computer engineering into artificial intelligence and machine learning research.
Technical University of Darmstadt, Germany
2025 to 2027
ELIZA Scholar, Konrad Zuse School of Excellence in Learning and Intelligent Systems. Focus: foundation models, deep learning, ML systems.
University of Mumbai, India
2019 to 2023 | CGPA 9.5 / 10
Bachelor thesis: Saathi, AI Companion for Emotion and Mental Disorder Detection using Deep Learning.
08 / Skills
A balanced toolkit shaped by research, full stack engineering, data work, and product thinking.
For research collaboration, HiWi opportunities, or simply a thoughtful conversation about AI and people.
