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Shivam Kharb

@shivamkharb

Message

Motivated Full Stack AI Engineer building end-to-end AI systems and scalable web apps that drive real-world impact.

India

Message

What I'm looking for

I want to contribute to innovative AI-driven products, building scalable backend and frontend solutions while applying data structures & algorithms and model fine-tuning to deliver measurable, real-world impact.

I’m a motivated Full Stack AI Engineer with hands-on experience building end-to-end AI systems, fine-tuning deep learning models, and developing scalable web applications. In research, I fine-tuned CNN models (TensorFlow, Keras) to detect 30+ dental conditions from medical radiographs, reaching 90% diagnostic accuracy through iterative hyperparameter tuning and architecture adjustments.

I also focus on production-ready pipelines and measurable business outcomes. I accelerated feature extraction by 25% for a diagnostic tool, built predictive ML workflows that achieved 85% accuracy (reducing inventory stock shortages by 27%), and analyzed 50K+ financial records using optimized Python/SQL queries to deliver structured audit insights.

Experience

Work history, roles, and key accomplishments

Software & Data Science Intern

Zenithindia

May 2025 - Sep 2025 (4 months)

Built predictive ML models with Scikit-Learn, achieving 85% accuracy and reducing inventory stock shortages by 27% using data-driven insights. Engineered 3+ Python AI automation workflows and deployed scraping pipelines processing 50K+ records with 99% data integrity.

Python scikit learn predictive modeling Inventory Optimization Data Scraping Data Pipelines Workflow Automation Data Integrity

Research Intern - Machine Learning

AICTE IDEA Lab

Jun 2025 - Aug 2025 (2 months)

Fine-tuned and optimized CNN models in TensorFlow/Keras to detect 30+ dental conditions from radiographs, achieving 90% diagnostic accuracy. Improved feature engineering from 3,000+ patient records and reduced feature extraction pipeline time by 25% to deliver a production-ready diagnostic tool.

TensorFlow Keras CNN Hyperparameter Tuning Feature Engineering Pandas NumPy Deep Learning Python

Data & Systems Analyst Intern

Deloitte Australia

Mar 2025 - Present (1 year 3 months)

Analyzed 50K+ financial records using optimized Python and SQL queries to identify data anomalies and produce structured audit insights for business reporting. Applied query optimization techniques to improve analysis efficiency for simulation-based review.

Python SQL Query Optimization Data Analysis Anomaly Detection Financial Data Audit Reporting