Vaishnavi Gawale

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Vaishnavi Gawale

ML Engineer | NeuroAI | Researcher

Buffalo, New York, USA

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👧 Short Bio

I am a Software Engineer with a Master's degree in Artificial Intelligence from the University at Buffalo, SUNY, Buffalo, NY, United States. Currently, I work as a Machine Learning Engineer at CYBRA Corporation, NY, United States , where I develop AI-driven solutions for intelligent automation. I have also worked 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.

🧠 Research Interests
I’m deeply interested in the intersection of AI and neuroscience, especially in:
  • 🧩 Neuroprosthetics and Brain–Computer Interfaces (BCI)
  • 🧬 Motor function restoration through neural decoding
  • 🧠 Machine Learning for neural signal interpretation
  • 🤖 Reinforcement learning and Computer Vision for adaptive decision-making and intelligent agent design

🔥 News

  • 2025-05: 👏🎉 Presented a poster on “Computer Vision: Facial Emotion Recognition using Deep Learning” at the CSE Demo Day Competition Spring 2025, University at Buffalo, NY.
  • 2025-05: 👏🎉 Presented a poster on “News Recommendation System using Reinforcement Learning” at the CSE Demo Day Competition Spring 2025, University at Buffalo, NY.
  • 2025-01: 👏🎉 Started working as Senior Researcher at Clinical Translational Research Center, Buffalo.
  • 2024-09: 👏🎉 Started working as Graduate Research Assistant, working on Computer Vision : 3D Shape Reconstruction.

👩‍💻 Experiences

🛠️ 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

🎓 Education