AI/ML Engineer - Deep Learning - Cloud & Data Eng

KANDHATH DIVYA

***************@*****.*** +91-910*******

linkedin.com/in/kandhath-divya

Professional Summary

Motivated professional with a strong academic background in Statistics and hands-on experience in machine learning, deep learning, and data engineering. Skilled in developing end-to-end solutions involving data preprocessing, model building, evaluation, and deployment. Passionate about applying AI and cloud-native technologies to solve real-world problems and drive meaningful impact..

Skills

- Machine Learning & AI: Supervised & Unsupervised Learning, Deep Learning, Large Language Models (LLMs), LSTM, Image Processing

- Programming: Python, R

- Data Analysis & Visualization: Power BI, Tableau, Qlik, Matplotlib, Seaborn

- Cloud Platforms: AWS (S3, EC2, Lambda, DynamoDB, RDS, CloudWatch, Kinesis, SNS)

- Tools & Frameworks: TensorFlow, Scikit-learn, OpenCV, RapidMiner, R Studio

- Databases: SQL, Amazon RDS, DynamoDB

- Other: Microsoft Office Suite, Git

Experience

AIML Intern

Innovorex Business Solutions oct 2025 – present

- Built and deployed end-to-end ML solutions for real-world business problems.

- Owned the full ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment.

- Implemented model deployment and monitoring workflows, ensuring scalability and performance in production environments.

Machine Learning Intern

Smart Bridge Jun 2024 – Nov 2024

- Developed and evaluated LSTM-based models for hate speech detection.

- Handled preprocessing and feature extraction of large datasets.

- Gained exposure to deploying ML models using AWS infrastructure. Key Projects

Retail-AI: AI-Based Smart Store System

Developed an end-to-end retail automation platform leveraging computer vision for customer identification and barcode-based product scanning, with backend services in Fast API and PostgreSQL to handle billing workflows, invoices, and payments.

Hate Speech Detection (Deep Learning)

Built deep learning models using LSTM networks to detect online hate speech. Preprocessed textual data using NLP techniques and achieved high F1 scores.

Fake Currency Detection using Image Processing

Developed a vision-based model to identify counterfeit currency notes. Employed image segmentation and trained models using SVM and CNN.

Currency Connect: Real-Time Analytics and Alerts Built a cloud-native platform that analyzes currency exchange trends in real-time. Integrated external APIs with AWS Lambda and used SNS for automated alerts.

Next-Gen Patient Data Platform

Designed and deployed a healthcare analytics system using AWS (RDS, Lambda, S3). Implemented secure, scalable storage and analysis of patient health data. Education

M.Sc. in Data Science

St. Francis College for Women CGPA: 7.8 2024

B.Sc. in Statistics

St. Ann’s College for Women CGPA: 7.7 2022

Certifications

- Basics in Python

- Introduction to Social Media Analytics

- Social Media Analytics

Achievements

- Published an article on “Cryptocurrency” (Oct 2023)

- Participated in Workshop on “Big Data Analytics” (Mar 2023)

- Attended international seminar “Aspire 2k19” and session on “Applied Science and Society”

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