Manikandan

Independent AI Research Engineer

Self Employed

May 2021 - Mar 2026 • 4 yrs 10 mos

Dedicated independent AI research and engineering practice specialising in Computer Vision, Deep Learning, Machine Learning and NLP — built entirely from mathematical foundations. Development of Computer Vision systems including Object Detection, Image Classification, Segmentation and Object Tracking using YOLOv8, CNN, RCNN, ResNet and deep convolutional networks Machine Learning engineering covering Supervised, Unsupervised and Semi-supervised learning, Decision Trees, Random Forest, Neural Networks, Transfer Learning and Feature Engineering NLP development including text classification, sentiment analysis and transformer based pipelines End to end ML solutions from raw data collection, preprocessing and model training to deployment and maintenance Technology — Tools & Libraries — Python · PyTorch · TensorFlow · Keras · OpenCV · NumPy · Pandas · Scikit-learn · Matplotlib · Seaborn · PIL · HuggingFace Transformers Deployment — AWS · GCP · Docker · Raspberry Pi · Edge Devices · Android · iOS Computer Vision — Image Processing · Classification · Object Detection · Segmentation · Object Tracking · Custom Keypoint Detection · Neural Networks · Deep Learning · CNN · RCNN · RNN · GANs · YOLOv5 · YOLOv8 · ResNet · VGG · EfficientNet · Transfer Learning Machine Learning — Linear & Logistic Regression · Supervised Learning · Unsupervised Learning · Semi-supervised Learning · Reinforcement Learning · kNN · Decision Trees · Random Forest · K-means · Naive Bayes · Neural Networks · Data Cleaning & Preprocessing · Feature Selection & Engineering · One-hot Encoding · Transfer Learning · Classification · Regression · Clustering NLP — Text Classification · Sentiment Analysis · Named Entity Recognition · Transformer Models · BERT · GPT · LLMs · Chatbot Development · Text Preprocessing