I am a Data Scientist & AI/ML Engineer with a dual background in Mechanical and Agricultural Engineering and 5+ years of experience developing machine learning, deep learning, and IoT-driven solutions for real-world applications.
My work spans precision agriculture, computer vision, sensor data analytics, and AI-enabled automation, where I design, train, and deploy models that improve productivity, optimize resources, and support data-driven decisions.
I have hands-on experience with Python, PyTorch, TensorFlow, FastAPI, PostgreSQL, Docker, and model deployment in operational environments. I enjoy transforming raw data into intelligent systems—whether it’s detecting livestock lameness, modeling soil dynamics, monitoring vine health, or designing ML pipelines for scalable use.
Currently open to roles in:
Data Science
Machine Learning / AI Engineering
Computer Vision
AgTech / Precision Agriculture AI
Research Scientist (AI/ML)
What I bring to a team:
Strong end-to-end ML pipeline skills (data → model → API → deployment)
Experience in both research and practical implementation
Ability to explain complex models to non-technical stakeholders
Passion for solving problems that combine AI + engineering + real-world impact
If you’re looking for someone who can build reliable ML solutions and adapt quickly to new domains, I’d be glad to connect.