Senior AI Engineer | Neural Architecture Design | Applied Machine Learning
Senior AI Engineer with 7+ years of experience designing and deploying scalable deep learning systems in production environments. With research contributions in neural architecture design and mathematically grounded learning methods, with hands-on expertise across Computer Vision, NLP, and end-to-end MLOps pipelines.
Language: English, Hindi (हिन्दी), German (A2)
- Artificial Intelligence Enabled Automated System for Targeted Content on Display Devices.
- Portable Data Storage Device for Secured Data Synchronization and Its Method.
- APTx Neuron: A Unified Trainable Neuron Architecture Integrating Activation and Computation.
- APTx: Better Activation Function than MISH, SWISH, and ReLU's Variants used in Deep Learning.
- Adaptive Base Representation Theorem: An Alternative to Binary Number System.
- Cerebral LSTM: A Better Alternative for Single- and Multi-Stacked LSTM Cell-Based RNNs.
- White Paper: A Theoretical Model For Artificial Learning, Memory Management And Decision Making System, published in 2019 (written in 2015-16)
Full publication list:
- APTx Neuron →
pip install aptx_neuron - APTx Activation →
pip install aptx_activation - Cerebral LSTM →
pip install cerebral_lstm
7+ years of experience building and scaling production-grade AI systems in product-focused environments.
Core areas of work include:
- Deep Learning: PyTorch, TensorFlow
- LMMs and Agentic AI: LangChain, Ollama
- Computer Vision: CNNs, Vision Transformers, OpenCV
- Natural Language Processing: Transformers, LSTMs
- Model Engineering: architecture design, optimization, training at scale
- Systems & Deployment: MLOps, MLflow, TorchServe, Docker, CI/CD pipelines, Git-based workflows, FastAPI
- Programming: Python (primary), C++ for high-performance systems; previous full-stack development experience in Java and JavaScript (React Native)
Additional: Author of the books "The Engineer’s Plan" and "Philosophy of the Trident", along with its Hindi version (त्रिशूल दर्शन).
For broader multidisciplinary work and independent projects: 👉 https://mr-ravin.github.io