Isha R.

Machine Learning Engineer | IIT Kharagpur (2025) I’m a results-driven Machine Learning Engineer with hands-on experience delivering end-to-end AI solutions—from dataset preparation and preprocessing to model architecture design, training, evaluation, optimization, and deployment. I specialize in building production-ready ML and Deep Learning systems, and I’ve worked extensively with images, video, text, and multimodal data. My experience spans a wide range of advanced models including Transformers, Encoder-Decoder architectures, and Retrieval-Augmented Generation (RAG). I’ve delivered multiple real-world projects such as: 1. AI for Surveillance (object detection, tracking, low-light enhancement) 2. Camera Feed & Gameplay Analysis for Games 3. Recommendation Engines (content-based & hybrid) 4. Bots and Automation systems 5. Low-level image handling using ImageMagick & libjpeg Beyond modeling, I bring strong engineering skills including MLOps, CI/CD, containerization, and scalable deployment of ML systems. Technical Skills: 1. Deep Learning: PyTorch, TensorFlow, Keras 2. Computer Vision: OpenCV, ImageMagick, libjpeg, Retinex-based enhancement, denoising 3. ML Tools & Libraries: Scikit-learn, Hugging Face, TorchVision, ONNX 4. Architectures: Transformers, RNNs, CNNs, Encoder–Decoder, RAG systems 5. NLP: Tokenization, embeddings, vector search, LLM fine-tuning 6. MLOps & Engineering: Docker, Git, CI/CD, Model Serving, APIs, FastAPI, Flask 7. Recommendation Systems: TF-IDF, Word2Vec, BOW, ranking models 8. Data Engineering: Preprocessing pipelines, feature engineering, data cleaning Other Skills: Debugging, optimization, profiling, performance tuning I Value: # Clear communication # Timely delivery # High-quality, reliable engineering # Long-term collaborations