Technical skills
- Programming languages – C, Java, Python
- Web languages – HTML, Java Script, XML, PHP, WordPress
- Databases – SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Hbase, Cassandra)
- Hypervisors – Virtual Box, KVM, ESXi, Dockers
- Cloud computing tools – Cloudsim, Openstack
- Cloud services – AWS, Microsoft Azure, Google Cloud
- Big data – Hadoop (HDFS, MapReduce, YARN, Pig, Hive, Sqoop, Mahout), Spark, Kafka, Flume
- Data science – Python (Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn)
- Deep learning – Tensorflow, Keras, Pytorch
- Report writing – Latex
Hands-on experience
- Worked on various deep learning algorithms (CNN, RNN, VAE).
- Modified GAN to generate time-series data.
- Developed sequential models using deep learning techniques.
- Used SHAP to explain the importance of input features.
- Anti-spoofing method for facial authentication system using Yolo.
- Overriding deep learning modules in TensorFlow and PyTorch.
- Implemented reinforcement learning for node embedding.
- Deploying a data analytics pipeline.
- Implemented optimization algorithms ACO, ABC, GA, GE, and PSO.
- Managing GPUs as a shareable server among multiple users.
- Set up an OpenStack cluster and deploy virtual cluster.
- Launching Hadoop and Spark on physical and virtual clusters.
- Developing distributed algorithms using Java and Python.
- Pre-processing large datasets on physical and virtual clusters.
Projects handled
- AI-based Risk Assessment for Climate Change on the Hanford Site
- Improving the performance of optimizers in deep learning
- Abnormal image detection and visualization of fabric products
- Real-time fault detection in fused deposition modelling
- Gesture recognition system for sign language and music generation
- Korean handwritten text recognition
- Small object detection in manufacturing and smart city.