Hemalatha Ramachandran

AI/ML Engineer

Dubai, UAE 1+ yrs exp 83 · Excellent

About

AI/ML Engineer and Data Scientist with production-oriented experience designing and deploying supervised, unsupervised, and deep learning models across healthcare, fintech, insurance, fraud detection, climate, sports, and agricultural domains. Proficient in the full ML lifecycle: data preprocessing, feature engineering, model training, hyperparameter tuning, evaluation, and RESTful API deployment via Flask. Experienced in MLflow experiment tracking, Docker containerisation, A/B testing, and statistical hypothesis testing. Skilled in Python, SQL, TensorFlow, PyTorch, and scikit-learn. Actively building expertise in Generative AI, LLMs (Hugging Face Transformers), Agentic AI, and NLP with transformer-based models, holding Anthropic certifications in prompt engineering and AI application development.

Skills & Expertise (55)

Python Intermediate

7.3/10

Years Exp

TensorFlow Intermediate

7.0/10

Years Exp

scikit-learn Intermediate

7.0/10

Years Exp

Hugging Face Transformers Intermediate

7.0/10

Years Exp

Docker Intermediate

6.5/10

Years Exp

Flask Intermediate

6.5/10

Years Exp

SQL Intermediate

6.1/10

Years Exp

Git Intermediate

6.0/10

Years Exp

AWS Intermediate

6.0/10

Years Exp

Tableau Intermediate

6.0/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

PyTorch Intermediate

6.0/10

Years Exp

SARIMA agentic AI Prompt Engineering A/B testing Feature Engineering EDA Hypothesis Testing Dimensionality Reduction EfficientNet GridSearchCV VGG16 PCA Data collection Web Scraping Business Intelligence Reporting Data Storytelling Visualization MySql MongoDb XGBoost SMOTE OpenCV SpaCy Gensim MLflow LightGBM Pandas NumPy Matplotlib Seaborn SciPy Keras LSTM GitHub Albumentations MS Excel Google Sheets Apache Spark Jupyter Google Colab ANN CNN RNN

Work Experience

AI/ML Engineer Intern

Rubixe

Aug 2025 - Jul 2026

Engineered and deployed 10+ ML models (classification, regression, clustering) achieving average accuracy of 87% with ROC-AUC scores exceeding 0.92; containerised model APIs using Docker for reproducible deployment. Executed end-to-end ML pipelines: data collection, cleaning, EDA, statistical analysis, feature engineering, model training, and hyperparameter tuning using Scikit-learn and TensorFlow; tracked experiments with MLflow. Built and evaluated ANN, CNN, and LSTM architectures for healthcare imaging, climate forecasting, and time-series prediction; deployed models via RESTful Flask APIs. Applied transformer-based NLP models using Hugging Face Transformers for text analytics tasks; used spaCy for entity recognition and text preprocessing. Applied Power BI and Tableau to communicate data-driven insights; created publication-quality visualisations for C-level stakeholders. Collaborated with engineering and DevOps teams on model deployment and operationalisation following reproducible, production-grade engineering practices using Git-based workflows.

Programmer Trainee

Cognizant Technology Solutions

Nov 2020 - Jun 2021

Completed intensive training in SQL and Load Runner performance testing; awarded with honours for technical excellence. Partnered with senior developers to design, code, and debug enterprise software modules; achieved 100% code review approval rate. Contributed to QA testing and created comprehensive technical documentation; reduced defect escape rate by 15%.