Anand Gupta

Data Scientist with hands-on experience deploying production AI systems in industrial and real-time environments. Proficient in Python, SQL, TensorFlow, and Scikit-learn. Skilled in end-to-end ML pipelines, computer vision, predictive analytics, and Generative AI including LLMs and Retrieval-Augmented Generation (RAG).

Experienced in ETL workflows, data pipeline development, and statistical analysis. Proven track record of delivering measurable business impact through scalable, data-driven solutions.

Data Scientist (Assistant Manager – AI & Software Systems) - AM/NS India - Surat, Gujarat

(2024-07)

• Designed and deployed a real-time surface inspection system using Computer Vision (Python, OpenCV, CNN), reducing manual inspection time by 60% and improving defect detection consistency across production lines.
• Built scalable end-to-end ML pipelines for data preprocessing, feature engineering, model training, evaluation, and inference — improving operational decision-making throughput.
• Applied Generative AI techniques, including LLMs and RAG, to automate reporting and improve information retrieval.
• Developed SQL-based data pipelines for real-time operational monitoring, analytics, and stakeholder reporting across production systems.
• Contributed to enterprise-grade backend integration (C#/SQL simulation system) ensuring data integrity and reliable operational outputs.

AI/ML Engineer Intern - Griffyn Robotech Pvt. Ltd - Pune, Maharashtra

(2024-02 - 2024-05)

• Automated logistics image-processing workflows using YOLOv5-based deep learning pipelines, reducing manual classification effort across ~10K+ images and cutting processing time by 60%.
• Developed CNN-based vehicle recognition model achieving 94%+ validation accuracy; built Python inference pipeline for real-time image classification.
• Deployed ML models on AWS EC2 instances for scalable remote execution and team-wide accessibility.

Computer Vision Engineer Intern - Surat Municipal Corporation (SMC) - Surat, Gujarat

(2022-08 - 2023-05)

• Built a YOLO-based real-time stray cattle detection system integrated into Surat's live CCTV surveillance infrastructure, improving detection accuracy by 60%.
• System integration reduced civic incident response time by 40% and contributed to a 50% reduction in related road accidents.
• Formally recognized by the Commissioner of Surat for measurable public safety impact.

Bachelor of Technology (B.Tech) - Electronics & Communication Engineering - Sardar Vallabhbhai National Institute of Technology (SVNIT) (2020 - 2024) Surat, India