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Vaishnavi Gawale

Programmer | AI Engineer | Researcher

๐Ÿ‘ง Short Bio


I am currently pursuing a Masterโ€™s degree in Artificial Intelligence at the University at Buffalo, SUNY, Buffalo, NY, United States and working as a Research Scientist Intern at the Clinical Translational Research Center, Buffalo, NY, United States for Neuroimaging analysis in Alzheimer's Research. Previously, I gained over four years of experience as a Software Engineer at Vegayan Systems Pvt Ltd,, India and six months as a Research Assistant Professor at MGM University, India. I'm excited to bring this blend of software engineering, research, and AI expertise to develop innovative solutions with real-world impact.

๐Ÿ”ฅ News


  • 2025-05: ๐Ÿ‘๐ŸŽ‰ Presented a poster on โ€œComputer Vision: Facial Emotion Recognition using Deep Learningโ€ at the CSE Demo Day Competition Spring 2025, University at Buffalo, NY.
  • 2025-05: ๐Ÿ‘๐ŸŽ‰ Presented a poster on โ€œNews Recommendation System using Reinforcement Learningโ€ at the CSE Demo Day Competition Spring 2025, University at Buffalo, NY.
  • 2025-01: ๐Ÿ‘๐ŸŽ‰ Started working as Senior Researcher at Clinical Translational Research Center, Buffalo.
  • 2024-09: ๐Ÿ‘๐ŸŽ‰ Started working as Graduate Research Assistant, working on Computer Vision : 3D Shape Reconstruction.

๐Ÿ› ๏ธ Skills


  • Programming & Scripting: Python, C, C++, MATLAB, Bash/Shell scripting
  • Libraries and Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, OpenCV, NiBabel, Nilearn.
  • Neuroscience: MNE-Python (EEG/MEG signal preprocessing),ANTs, FSL, SPM12, FreeSurfer
  • Statistical Modeling: Hypothesis Testing (T-test, Chi-Square, ANOVA), Statistical Significance, Time Series Analysis
  • Databases: MySQL, PostgreSQL, SQL Server, MongoDB
  • Reproducibility & Workflow Automation: Git, Docker, Conda environments, MLflow, FastAPI, Streamlit
  • Project Management & Methodologies: Agile/Scrum, JIRA, Stakeholder Communication, Cross-Project Management
  • Soft Skill:Strong research communication, Collaboration & Interdisciplinary Teamwork, Adaptability & Continuous Learning

๐Ÿ‘ฉโ€๐Ÿ’ป Experiences


๐ŸŽ“ Education