I’m passionate about exploring how psychology and artificial intelligence intersect to create meaningful, technology-based human-centered solutions. I’m currently learning Data Analysis in Python and SQL to strengthen my analytical and research capabilities.🌱
- Cognitive Psychology
- Human-computer interaction and human-centered AI
- Interdisciplinary research integrating psychology with AI
- 2 research papers in:
- Augmented reality for children’s learning
- Reinforcement learning in action games
Built multiple AI-based projects integrating psychology, data analysis and software development.
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AtaraxAI – An offline, privacy-first mental health companion integrating CBT generation, crisis detection, and emotion-aware prompting.
Tools: Python, Streamlit, ONNX Runtime, Gemma 3n, Ollama, Matplotlib -
Employee Attrition Predictor for HR Analytics – An interpretable ML app for predicting employee turnover using XGBoost, SHAP, and LIME.
Tools: Python, Streamlit, XGBoost, SHAP, LIME, Pandas -
Share2Care – Zero Hunger (GNEC Hackathon 2025) – AI-driven food redistribution platform connecting surplus donors with flood-affected communities.
Tools: FastAPI, Streamlit, MobileNetV2, Prophet, ARIMA, PostgreSQL -
PhishSecure AI – Real-time phishing detection and awareness platform enhancing user cybersecurity through NLP and web scraping.
Tools: Python, OpenAI o1, Flask, Gmail API, PhishTank API, Google Safe Browsing API -
SentiMuse – Multimodal emotion recognition app that generates personalized music based on real-time facial and text emotion analysis.
Tools: Python, OpenAI GPT-3.5-turbo, VADER, Streamlit
Statistical Data Analysis: IBM SPSS, IBM SPSS Amos, SmartPLS, SEM, Data Analysis in Python
Programming Languages: Python, SQL, LaTeX
Software & Tools: VS Code, GitHub, Google Colab, Kiro, Jupyter Notebook, Streamlit
Frameworks: FastAPI, Flask, Ollama
Libraries: Pandas, NumPy, Matplotlib, Transformers, Scikit-Learn, XGBoost, Seaborn
Databases: SQL Server
LLMs & AI APIs: OpenAI, Gemma 3n, Hugging Face Models
- Section Leader, Stanford Code in Place — taught Python programming to global learners.
- Solved 80+ LeetCode problems, strengthening data structure and algorithmic reasoning.
- Competed in 3x international AI hackathons (LabLab & Devpost) and global coding contests (MIT², Meta Hacker Cup).
- Completed Python Summer Party challenges hosted by Interview Master & DataCamp.
