Open to opportunities

Aneesh Kadam

@aneeshkadam

Message

AI/ML intern specializing in deep learning for speech and responsible, explainable governance systems.

India

Message

What I'm looking for

I’m looking for a role where I can build ML and deep learning systems in Python/PyTorch, while prioritizing fairness, explainability, and reliable governance—turning models into transparent, production-ready decision tools.

I’m an AI/ML intern who builds and evaluates ML models end-to-end, with a focus on measurable performance gains and reproducible workflows. At OWL AI, I built and evaluated 4+ ML models in Python, using feature engineering and hyperparameter tuning to improve classification performance by ~15% over baseline.

I also design deep learning pipelines for real-world signal understanding. In my Speech Emotion Recognition project, I created an end-to-end system using MFCC/Mel-Spectrogram/Chroma features, a Multi-Scale CNN–Conformer architecture, and self-attention to capture long-range dependencies, achieving ~72% accuracy on the RAVDESS test split.

Beyond accuracy, I care about trust and accountability in AI. My Responsible AI Governance Framework uses SHAP-based explainability, fairness checks (demographic parity and equalized odds), RBAC policy routing (ALLOW/REVIEW/REJECT), and Isolation Forest anomaly detection to support auditable loan approval decisions.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

OWL AI

Dec 2025 - Present (6 months)

Built and evaluated 4+ ML models in Python, using feature engineering and hyperparameter tuning to improve classification performance by ~15% over baseline. Created Jupyter Notebook training/validation pipelines for datasets with 50K+ samples and maintained 5+ version-controlled GitHub repositories using collaborative branching and code review.