
A highly passionate machine learning engineer with a masters specialising in computer Science, Artificial Intelligence, Machine Learning and Data Science. Possesses 5 years of relevant professional experience gained during a full-time role as a Software developer in a multinational IT company and machine learning engineer in a start-up company, acquiring valuable insights of working in a fast-paced and diverse environment. Awarded for the best performance in the team (of 40) and once for best performance in the project (of 100+ people).
Programming: C,Python, ROS, TensorFlow, keras, Pytorch, Java, C, SQL, PLC, SCADA, Linux, Simulink, VBA, Excel, AWS
ML and AI: Deep Learning, Artificial Neural Networks, Reinforcement learning, BERT, NLP, Computer Vision, LLM
Tools and Packages: CUDA GPU, Sklearn, NLTK, SciPy, Arduino, Raspberry Pi, Octave, MATLAB, Pandas
MSc Project, Text summariser using NLP for Scientific Research (2019-20)
Advisor Prof Yang Hao, Queen Mary University, London
· Developed an NLP model using BERT to extract the data from different research paper and summarize it.
· Collected data by creating a script for downloading research papers for a particular topic and extracting its abstract.
· These abstracts were then summarised to provide as summary of research done on a particular topic.
· The developed model gave a ROUGEL score 35.78 and ROUGE2score 21.79.
Additional MSc Projects/Tasks (2019-20)
Text classification with Neural Networks (Keras, TensorFlow, Python)
Controlling motion of panda robot using ROS with MoveIt and rViz (python)
Neural Machine Translation and Dialogue System (Keras, TensorFlow, Python)
Unsupervised Learning by generative adversarial Net (GAN) (PyTorch)
Mario Level Generation (Reinforcement learning)
AI for Pommerman(Reinforcement Learning, Monte Carlo)