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Harshith surugu

@harshithsurugu

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Entry-level AI engineer who builds production ML systems and end-to-end data pipelines with Python and React.

India

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What I'm looking for

I’m looking for entry-level roles where I can build and ship AI systems end-to-end—production ML, data pipelines, and clear analytics. I want hands-on ownership, tight feedback loops, and opportunities to grow fast across AI engineering and data science.

I’m an Information Technology B.Tech graduate (2026) with three internships spanning AI engineering, data science, and analytics. I’ve built end-to-end ML systems—from ideation to production—while meeting tight deadlines.

In my Data Science Intern role, I spearheaded a production-grade predictive maintenance system, FactoryGuard AI, using XGBoost and LightGBM on UCI IoT sensor data. I improved reliability with SMOTE inside Stratified K-Fold, tuned 12+ hyperparameters using Optuna, and used SHAP for model interpretability.

In parallel, as an Analyst Intern, I performed end-to-end data analysis with Python (Pandas, NumPy) and SQL to surface actionable business trends. I also optimized Excel-based reporting workflows, reducing manual data processing time by 25% while improving analytical pipeline accuracy.

As an Artificial Intelligence Engineer Intern, I refined and fine-tuned ML models in Python to increase model accuracy by 15%, then deployed and monitored AI-based applications in production. I’ve also shipped data-driven dashboards in Power BI, and in projects like UnloadAI, I integrated Gemini AI for personalized mental wellness recommendations using React, Supabase, and REST APIs.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Zaalima Development

Mar 2026 - May 2026 (2 months)

Spearheaded FactoryGuard AI from scratch, building a production-grade predictive maintenance ML system using XGBoost and LightGBM on IoT sensor data. Built an end-to-end ML pipeline with SMOTE, stratified K-fold cross-validation, Optuna tuning, and SHAP-based interpretability.

Python XGBoost LightGBM Logistic Regression SMOTE Stratified K Fold Optuna SHAP EDA Feature Engineering Time Series Predictive Maintenance

Analyst Intern

Future Interns

Feb 2026 - Mar 2026 (1 month)

Conducted end-to-end data analysis using Python and SQL to identify business trends and generate stakeholder reporting insights. Optimized Excel-based reporting workflows, reducing manual data processing time by 25%.

Python Pandas NumPy SQL Data Analysis Excel

Artificial Intelligence Engineer Intern

VISWAM.AI

May 2025 - Jul 2025 (2 months)

Refined and fine-tuned machine learning models in Python, improving accuracy by 15% through iterative preprocessing, feature engineering, and validation. Deployed and monitored AI applications in production and created Power BI dashboards for cross-functional decision-making.

Python Machine Learning data preprocessing Feature Engineering Model Validation Root Cause Analysis Power BI