Hi, I’m Amey Managute 👋
About
Master’s student in Engineering Science (AI) at University at Buffalo (Aug 2024 – Dec 2025). Focused on Applied Machine Learning, NLP, and Computer Vision. I build production-ready ML systems with clean architecture and measurable results.
Projects
Implemented NLP preprocessing including tokenization, vocabulary construction, and sequence padding. Trained an LSTM-based RNN on the WELFake dataset, achieving an F1-score of 0.9013. Deployed the model using Flask with a user-facing web interface.
Built an ELA + CNN pipeline to detect and localize manipulated regions in images. Developed a React frontend with a Flask backend to run inference and visualize tampered areas.
Built a multimodal RAG system that performs hybrid search over documents and images using embedding pipelines and metadata indexing.
Implemented a character-level Transformer language model from scratch including embeddings, multi-head self-attention, positional encoding, and full training + generation pipelines.
Experience
Student Assistant — UB Brainy Bulls
Feb 2025 – Jun 2025 · Buffalo, NY
Delivered one-on-one tutoring in mathematics and computational thinking for K–12 students.
Machine Learning Intern — The Tann Mann Gaadi
Jun 2023 – Aug 2023 · Remote
Built prompt-driven dataset exploration tools using LangChain and PandasAI, reducing manual analysis time by ~60%.
Skills
Languages: Python · C++ · SQL
ML / Data: PyTorch · TensorFlow · Scikit-learn · Pandas · NumPy · NLTK · FastAPI · LangChain · Hugging Face Transformers · Streamlit
Tools: Docker · MLflow · Git · GitHub · CI/CD · Jupyter · VS Code
Cloud: AWS (S3, EC2, ECS, Lambda, SageMaker, Bedrock)