Shail K Patel

Founding ML Engineer at Stealth Startup building AI systems from the ground up. I turn product vision into working architecture . Let's collaborate and build a scalable prototype.

Connect Resume

EXPERIENCE

Stealth Startup (Restaurant Tech)

Founding Machine Learning Engineer

Seattle, USA
Nov. 2025 – present
  • Led end-to-end system design for a restaurant tech product, translating CEO-level requirements into full technical architecture spanning ML pipelines, Django backend services, and database design.
  • Coordinated and directed a small engineering team, delegating tasks, defining implementation standards, and making key technical decisions across the full stack.
  • Designed the complete database schema and table relations to support all product functionality from scratch.

GetMySpace (Parking Management Startup)

Machine Learning Engineer

Ahmedabad, India
Jan 2025 – Jun 2025
  • Developed GetMySpace's first AI-powered prototype for real-time parking management, integrating computer vision and machine learning to automate vehicle and slot detection
  • Built and deployed models using Python and PyTorch, reducing end-to-end processing time to ~4 seconds and achieving real-time update latency of ~0.7 seconds
  • Designed and implemented backend logic and MongoDB-based systems to handle prediction outputs, user logs, and dynamic updates, ensuring scalable and efficient performance

PUBLICATIONS

A Two-Stage, Leakage-Aware Framework for Early Academic Risk Detection in Undergraduate Engineering Cohorts

doi.org/10.5281/zenodo.17095218
Student Performance Prediction, Early Warning Systems, Ensemble Learning, Stacked Classification, Leakage Prevention, SHAP
  • Proposed and implemented a leakage-aware, two-stage ML framework to forecast student academic decline
  • Applied leakage-aware modeling to ensure predictions are temporally valid and unbiased
  • Evaluated 50+ regression pipelines per subject (≈200 total) to benchmark academic performance forecasting methods
  • Tested 50+ classification pipelines for risk detection; best-performing stacking ensemble achieved recall 0.657
  • Applied explainability (SHAP) to support model interpretability and trust

PROJECTS

PredictGrad

predictgrad.streamlit.app
Python, Scikit-Learn, SHAP, Streamlit
  • Built a full ML pipeline to predict future semester marks and detect academic risk
  • Regression: Voting Regressor (Ridge + Lasso + ElasticNet)
  • Classification: Stacking (CatBoost, LGBM, ExtraTrees)

Constitution Preamble Clustering

constitutional-values.streamlit.app
Python, Sentence-Transformers, Scikit-Learn, PCA, Plotly, Streamlit
  • Utilized NLP and clustering (SentenceTransformer, KMeans) to analyze global constitutional texts and identify data-driven thematic clusters.
  • Applied semantic embeddings and unsupervised clustering to uncover ideological similarities across constitutions.
  • Mapped nations into clusters such as Legal-Institutional, Unity & Pluralism, and Faith & Founding, offering insight into shared governance philosophies.

Beyond The Marks

beyondthemarks.streamlit.app
Python, SHAP, Pandas, Seaborn
  • ML pipeline with explainable AI to analyze student performance
  • Detects grading bias and assesses influence of sensitive attributes
  • Quantified teacher effectiveness with performance indicators

CERTIFICATES

SKILLS

AI & Agents

  • LangChain
  • LangGraph
  • LlamaIndex
  • Hugging Face
  • OpenAI API
  • Prompt Engineering
  • RAG Pipelines

Backend & APIs

  • FastAPI
  • Django
  • Flask
  • Streamlit
  • REST API
  • Python

Data & Tools

  • PostgreSQL
  • MongoDB
  • MySQL
  • Docker
  • Git
  • Postman
  • System Design
  • Linux
  • LiteLLM

Product & Strategy

  • Product Thinking
  • User Research
  • Roadmapping
  • A/B Testing
  • Agile / Scrum

Let's Work Together


I'd love to hear about your project and how I can help with ML solutions.

I'm always excited to work on innovative projects that make a real impact. Whether you need ML solutions, data analysis, or want to explore AI possibilities, let's connect and create something amazing together.

Email Me LinkedIn GitHub