Research-driven ML Engineer • Physics-Informed Learning • AI • Gen AI • Production ML
|
PyTorch • TensorFlow |
Physics-Informed NN |
Vision-based QC |
FastAPI • Flask |
Research Project | Manuscript in Preparation
- Integrated physical laws (ODE/PDE constraints) directly into NN loss functions
- Combined sequence models + physics priors for better generalization
- Evaluated robustness to boundary and parameter variations
Tech: PyTorch, NumPy, SciPy, RNNs
📌 Pinned Repository
Patent-backed Industrial Automation System
- Vision-based decision system for FFF 3D printing
- CNN-driven defect/state detection with automated actuation
- Improved manufacturing throughput by ~35%
Tech: OpenCV, TensorFlow/Keras, Flask, React, SQLite
📌 Pinned Repository
AI-powered News Summarization & Fake News Detection
- End-to-end NLP pipeline for real-time news analysis
- Used T5 (Hugging Face) for abstractive summarization
- Deployed via APIs with interactive frontend
Tech: TensorFlow, Hugging Face, Flask, React
📌 Pinned Repository
ML for Bioinformatics
- Studied CpG methylation patterns using ML/statistical techniques
- Extracted interpretable features from biological datasets
- Focus on structure-aware modeling
Tech: Python, ML, Statistical Analysis
📌 Pinned Repository
- 🥈 2nd Place – Duality AI Track, HackByte 3.0
- 📜 Patent + IMECE 2025 Publication
- ⚔️ LeetCode Knight (400+ problems, max rating 1827)
const researcher = {
name: "Stuti Govil",
role: "Machine Learning Engineer & Researcher",
focus: [
"Physics-Informed Learning",
"Industrial AI Systems",
"Production ML & MLOps"
],
interests: ["Scientific ML", "Automation", "Applied Research"]
};