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.