Rakshith Subramanya Email & Phone Number

I possess over 14 years of experience in researching and developing web, AI, and IoT applications. My expertise spans across various domains, including energy, retail, healthcare, and industrial automation. I am proficient in utilizing a wide range of technologies and frameworks to deliver innovative and impactful solutions.Technical Skills:Artificial Intelligence (AI):- Time series forecasting (electricity markets, generation, photovoltaics, wind power)- Anomaly detection and Exploratory Data Analysis (EDA) for time series data- Reinforcement Learning based optimization- Object detection and classification for retail applicationsBattery Energy Storage Solutions (BESS):- BESS simulation- BESS participation in electricity markets- BESS optimizationAI Tools and Libraries:- TensorFlow, Keras, PyTorch- NumPy, Pandas, Scikit-learn, PyTorch-Forecasting, PyTorch-Lightning- Matplotlib, Plotly, SeabornCloud and DevOps:- Microsoft Azure, Google Cloud Platform (GCP), IBM Bluemix- Azure DevOps, IBM DevOps- Git version control and workflows- CI/CD tools (Jenkins, Travis CI)- Containerization (Docker, Kubernetes, Docker Compose)- Cloud orchestration (OpenStack)MLOps:- MLflow- DVC- Feast, MLRunInternet of Things (IoT):- Smart grid and demand response solutions- Medical image processing- Advanced Driver-Assistance Systems (ADAS)- Drone and aerial imaging applications- Smart workforce management- Intelligent signage and content management systems (CMS)- Industrial image and video viewersWeb Development:- Back-end frameworks (Ruby on Rails, Django, NodeJS, React, React JS, Next S)- Front-end technologies (HTML, JavaScript, jQuery, CSS, SCSS, SASS)- Front-end libraries (Bootstrap, Tailwind)- Web servers (Apache, Passenger, Nginx)- Databases (MySQL, PostgreSQL, MongoDB, MariaDB)Major Technologies/Languages (Combined):- Programming languages (C++, Ruby, Python, JavaScript, TypeScript, Rust)- Deep learning frameworks (Keras, TensorFlow, YOLO)- Computer vision libraries (OpenCV, ITK, VTK)Data Visualization:- Data visualization libraries (C3.js, D3.js)- Business intelligence tools (Tableau)- Web-based visualization tools (WebGL, Three.js, Fabric.js)- Scalable Vector Graphics (SVG) and related libraries- Multimedia libraries (video.js, cornerstone.js, caman.js)Native Tools/Languages:- Cross-platform development frameworks (Qt, Qt QML, Qt Widgets)- Desktop application development (Node.js Electron)Hardware Platforms:- Embedded systems development experience (Intel Advantech, Intel iBase, Raspberry Pi, Intel NUC)