Santhosh Viswanathan

AI Engineer Aspirant

Chennai, India 0+ yrs exp 81 · Excellent

About

AI & Data Science engineer (final-year, B.Tech) with hands-on experience building and deploying machine learning models, data pipelines, and explainable AI solutions. Comfortable across the full ML lifecycle — data preprocessing, model training, evaluation, and stakeholder-ready reporting — using Python, Scikit-learn, and XGBoost. Recently working with Microsoft Fabric for data engineering and prototyping Agentic AI and Generative AI pipeline components. Quick to pick up new tooling and comfortable working alongside AI copilots (ChatGPT, GitHub Copilot) in a fast-moving development environment. Looking to bring this foundation into a hands-on AI Engineering role spanning Computer Vision, NLP, and Generative AI.

Skills & Expertise (28)

Microsoft Fabric Advanced

8.0/10

Years Exp

Python Intermediate

7.5/10

Years Exp

scikit-learn Intermediate

7.5/10

Years Exp

XGBoost Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

GitHub Copilot Intermediate

6.0/10

Years Exp

ChatGPT Intermediate

6.0/10

Years Exp

GCP Intermediate

6.0/10

Years Exp

AWS Intermediate

6.0/10

Years Exp

Azure Intermediate

6.0/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

MongoDb Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

Seaborn Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

LIME Intermediate

6.0/10

Years Exp

SHAP Intermediate

6.0/10

Years Exp

Generative AI Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

LSTMs Beginner

5.0/10

Years Exp

RNNs Beginner

5.0/10

Years Exp

CNNs Beginner

5.0/10

Years Exp

PyTorch Beginner

5.0/10

Years Exp

TensorFlow Beginner

5.0/10

Years Exp

Java Beginner

4.0/10

Years Exp

Work Experience

Data & AI Intern

Meridian Solutions Pvt. Ltd.

May 2026 - Present

Refined client data requirements for an existing data platform, improving data quality and system reliability for downstream analytics. Built hands-on proficiency with Microsoft Fabric across end-to-end data engineering and analytics workflows. Prototyped components for an Agentic AI pipeline, researching autonomous multi-step workflows for internal use cases.

Artificial Intelligence Intern

Sunoida Solutions Pvt. Ltd.

Jul 2025 - Aug 2025

Built and fine-tuned a predictive ML model for loan default risk on real-world financial data using Scikit-learn and XGBoost. Applied Explainable AI (SHAP, LIME) to surface interpretable feature importance, increasing stakeholder trust in model outputs. Iterated on feature engineering and hyperparameter tuning across multiple evaluation cycles to improve accuracy and efficiency. Documented model architecture, performance metrics, and explainability findings for non-technical stakeholders.