Rohith balan S
● Open to Work

Rohith balan S

AI Engineer | ML Engineer | Generative AI | LLMs | NLP | Computer Vision | RAG Pipelines | Python | Deep Learning | MLOps | TensorFlow | PyTorch | Deploying Scalable AI Systems
Chennai

About Me

I’m a Machine Learning Engineer with 2+ years of experience building and deploying end-to-end AI solutions, including data preprocessing, feature engineering, model training, and production deployment. I have strong expertise in Python, Scikit-learn, TensorFlow, and PyTorch, along with hands-on experience in NLP and Generative AI (LLMs, RAG pipelines). I have developed scalable AI applications and deployed them using FastAPI and cloud environments. I’m particularly interested in opportunities where I can apply my skills to build real-world, scalable AI systems and contribute to impactful, data-driven solutions.

Skills & Technologies

PythonScikit-learnLinear RegressionLogistic RegressionSVMRandom ForestDecision TreeTensorFlowPyTorchKerasONNXYOLOLLaVAMistralChatGPT-like modelsOpenCVSQLAWSGitDockerPower BITableauMS-Excel

Work Experience

Machine Learning Engineer

Sundar Infographic Analytics, @SNC
September 2025Present

Developed and deployed ML/DL models using TensorFlow, PyTorch, and ONNX. Performed benchmarking and evaluation of LLMs for automation tasks. Implemented lightweight deployment pipelines using Python APIs and model optimization. Created reproducible ML experiments following MLOps practices (versioning, experiments tracking). Collaborated with engineering teams to integrate ML-based automation into production workflows.

Machine Learning Data Associate

SEEWISE.AI
March 2024September 2025

Supported computer vision pipeline inside Django for transportation monitoring automation. Conducted data annotation, preprocessing, feature extraction, and model evaluation.

Data Coordinator

Pixstone images pvt ltd
September 2022November 2023

Created Power BI dashboards and visual reports for internal teams. Processed, cleaned, and structured large datasets for analytics and reporting. Improved BI workflows by collaborating with cross-functional stakeholders.

Projects

Leaf disease detection using Deep Learning

Built a deep learning model with Conditional GAN and Densenet121, achieving high accuracy in leaf disease detection for early diagnosis. Performed hyperparameter tuning and improved prediction accuracy of CV models.

Deep LearningConditional GANDensenet121SVM

Image recognition of four rice leaf disease

Achieved 96% accuracy with CGAN and Densenet121 for early leaf disease detection, reducing crop loss.

CGANDensenet121

Education

M.Sc., Data Science

General

SASTRA University2022

B.SC., Electronics & Computer Science

General

SASTRA University2020
Rohith balan S - AI Engineer | ML Engineer | | HiringAnt