About me
I earned my MSc in Electrical and Computer Engineering from the University of California, Irvine (UCI) with a GPA of 3.95 (2023), following my BSc in Electrical Engineering with a GPA of 3.04 (2019) from the University of Engineering and Technology (UET), Lahore. Currently, I am working as a remote AI Research Scientist at a California-based healthcare technology company, Integrated Medical Sensors. I am also serving as a Lecturer in the Department of AI and Data Science at FAST National University, Lahore.
With over three years of AI research experience through remote assistantships at Purdue University, the University of Oklahoma, UC Irvine, and Integrated Medical Sensors (IMS), California, I am dedicated to pursuing a PhD at the intersection of data science, machine learning, and AI, advancing as both a researcher and innovator to deliver impactful contributions to this field.
Experience
Research Experience
The University of Oklahoma, Oklahoma, USA (remotely)
Oct 2024 -- present (part-time)
- Conducting NLP based-sentiment analysis and LLM based-thematic analysis of student reflections to assess the impact of generative AI tools on learning experiences in data science courses
- ADeveloped ML pipelines (scikit-learn, PyTorch) to predict student mental health, performance, and dropout risks; applied XAI (LIME and SHAP) to enhance transparency
- Outcome: Enhancing Transparency in Educational Decision-Making using XAI Technique, Conference paper, ASEE 2025
Purdue University, Indiana, USA (remotely)
Sep 2023 -- June 2025 (part-time)
- Evaluated the specificity of NLP-annotated student reflections using inferential statistical tests and post hoc analysis, leading to a Journal paper in-preparation
- Conducted a comparative benchmark of traditional NLP algorithms and LLMs for student reflection summarization, incorporating persona-based prompt engineering
- Outcome: Board 62: Work-in-Progress: A Comparative Analysis of Large Language Models and NLP Algorithms to Enhance Student Reflection Summaries, Conference paper, ASEE 2024
UC Irvine, California, USA (remotely)
Dec 2023 -- Feb 2024
- Researched college students’ perceptions of generative AI across disciplines by designing and administering surveys
- Evaluated and compared the performance of Large Language Models (LLMs), including ChatGPT 4.0 and Google Bard, across diverse tasks to highlight their strengths and limitations
- Outcome: GenAI-101: What Undergraduate Students Need to Know and Actually Know About Generative AI, EDWorkingPapers, 2025
Research Experience
Integrated Medical Sensors, California, USA (remotely)
- Contributing to glucose data analysis/visualization, forecasting (LSTM), and developing RAG-based chatbots and multi-agent systems for the IMS mobile application
- Co-developed embedded firmware in C for a health monitoring system using a microcontroller
- Outcome: A smart, low cost, wearable technology for remote patient monitoring, Journal Paper, IEEE Sensors Journal, 2021
March 2018 -- Sep 2020, July 2024 -- Present (part-time)
FAST National University, Lahore, Pakistan
- Advised senior-year project on brain tumor detection (YOLOv8, VGG16)and segmentation(CNN,U-Net, InceptionNet), achieving 95.3% detection accuracy and 92% Dice coefficient
- Supervised senior-year project on fetal anomaly detection in ultrasound (GoogleNet, MobileNetV2, ResNet-50, and Vision Transformers), achieving 96.8% accuracy and 96.8% F1 score
- Outcome: Research culminated in students’ Bachelor’s Thesis
March 2024 -- July 2025
Ujala Technologies, Ohio, USA (remotely)
- Co-developed embedded firmware in C for a low-cost, portable ventilator using a microcontroller
- Led design verification and conducted regulatory reviews to support FDA/IRB approval for the ventilator
- Outcome: A low-cost, portable mechanical ventilator, Conference Paper, IEEE GHTC 2021
Sep 2020 -- Sep 2021
Skills
Programming Languages
Python
Matlab
SQL
R
HDL
Software
Jupyter Lab
VSCode
Google
Colaboratory
GitLab
PostgreSQL
Xilinx
Power BI
Machine Learning Tools
TensorFlow
PyTorch
OpenCV
Keras
Sklearn
NLTK
plotly
Projects
Hospital readmission rate prediction for diabetes patients
- Performed data preprocessing, Exploratory data analysis and Feature Extraction of CDC data set
- Classified data through predictive modeling, using SMOTE for class imbalance problem and GridSearch and Cross-validation for parameters optimization
Community detection and link prediction of GitHub Social Network
- Classified nodes using shallow node embeddings generated through node2vec
- Predicted links in the graph using autoencoders
Novozymes Enzyme Stability Prediction
- Pre-processed Novozymes Enzyme to clusters training data into their wildtypes
- Predicted relative thermal stability using LSTM and transformer models
Hackathons
Multilingual RAG Chatbot
- Built a multilingual RAG chatbot (LangChain + FAISS) with Groq LLaMA-3, Roboflow, Whisper, and gTTS for plant disease diagnosis, weather forecasts, and crop advisory.
AI Navigation Assistant for Visually Impaired
- Built an AI navigation assistant for visually impaired users using Yolov12, MiDaS, gTTS, and GPT-5 for real-time path guidance and fall alert.
Teaching
Teaching Experience
Lecturer
- Department of AI and Data Science, FAST National University, Lahore
- Jan 2024 – Present
- Courses: Data Mining, Data Science, Big Data Analytics, Data Analysis and Visualization
Teaching Assistant
- Entrepreneurship and Innovation (ENGR 200)
- UC Irvine
- (Instructor: Prof. Neil Sahota)
- Sep 2022 – March 2023
Teaching Assistant
- Digital Logic Design Lab
- UC Irvine
- (Instructor: Professor QV Dang)
- April 2022 – June 2022 and Aug 2022
Teaching Assistant
- Electric Network Analysis Lab
- UC Irvine
- (Instructor: Professor Franco Flavis)
- Jan 2022 – March 2022
Selected Achievements
Winner, AWS re:inevnt All Builders travel grant to attend AWS Annual Conference, USA (2022)
Featured on United Nations Development Program Pakistan, Youtube, Twitter Account and Web page as a successful Women in Technology (2022)
Winner, IEEE Communication Society, Santa Clara Valley Chapter Award to present paper at IEEE GHTC (2021)
Finalist, Project Competition, IEEE YESIST’12 Conference, among teams from 16+ countries, India (2020)
2nd Place, IEEE IAS Humanitarian Project Competition, among teams from 20+ countries, USA (2020)
Finalist, IEEE HTC Conference, Project Competition, among teams from 10+ countries, Indonesia (2019)
Volunteer Services
Leading a team of 9 trainers to organize free, remote 6-week Python and AI bootcamp, providing training to 250+ underprivileged students nationwide, Pakistan (2025)
Serving as Mentor and Instructor for remote 6-week Generative AI courses, training 1000+ underprivileged students per course across Pakistan (2025)
Conducting in-person Build with AI workshops through Google Developers Group Lahore, engaging 300+ students per workshop from universities across Pakistan (2025)
Delivered talks at the Generative AI Conference organized by Provincial Government Safe City Authority, helping officials explore Generative AI applications to make cities safer, Pakistan (2025)
Chairperson, Women in Engineering Committee IEEE UET, organized counseling sessions, career development workshops for female students of UET (2018 - 2019)
Led 10+ python and AI workshops, at UET Lahore and at UC Irvine as executive memeber of Pakistan Student Welfare Organization and Mentor at AI@UCI Club (2018, 2022)
Organzed national and international conferences, including APES 2017 and SPECTRUM 2017, held at UET Lahore, 2017
Volunteered in academic event management, assisting with speaker coordination and logistics for university-level conferences, UET Lahore, 2017
Supported university-level conferences and symposiums, contributing to academic outreach and knowledge exchange, UET Lahore, 2017
Contact
Feel free to contact me at: ebabar@uci.edu
You can also reach me via these social media: