ML Engineer in progress building real-world systems using AI & Machine Learning.
Contributor at sktime (ESoC) GSsoc2026 and focused on research-driven solutions.

class NensiPatel:
    def __init__(self):
        self.location = "India"
        self.focus = [
            "GSsoc 2026",
            "AI/ML Research",
            "Open Source @ sktime (ESoC)",
            "Real-world ML systems"
        ]
        self.stack = ["Python", "SQL", "Machine Learning"]

    def mindset(self):
        return "Consistency + Curiosity = Growth 🚀"

me = NensiPatel()
print(me.mindset())

Contributed to improving Docker container security by implementing non-root user execution in the AI-dev-assistant project under GSSoC 2026. Fixed a security vulnerability caused by missing USER directives in Dockerfiles and validated the fix through successful Docker builds and FastAPI container testing.

Worked with FastAPI, Docker, container security best practices, and open-source collaboration workflows including forks, branches, commits, and pull requests.

Contributed to a production-grade time series forecasting library by fixing bugs and improving forecasting components.

Tech: Python • Time Series • Open Source

Developed a reinforcement learning environment to model contract negotiation under uncertainty and optimize risk-aware decision-making.

Tech: Python • Reinforcement Learning • MDP • Simulation

Built a machine learning pipeline to detect misinformation using NLP techniques and classification models.

Tech: Python • NLP • Scikit-learn • Machine Learning

Designed an emotion classification model to analyze user sentiment from textual input.

Tech: Python • Machine Learning • NLP

Developed a responsive multilingual web application with scalable frontend architecture.

Tech: TypeScript • Frontend • UI/UX

🌍 Let's Connect

📧 nancypatel016@gmail.com
🔗 https://linkedin.com/in/nensi-patel-1121n
📍 India

⭐️ Feel free to follow me - I’d really appreciate your support!

Do it not because it's easy, but because it's worth doing."