CV

Education

• Ph.D in Scene understanding in Digital Humanities, Friedrich Alexander University, 2018 – Ongoing
• M.Tech in Information and Communication Technology (ICT), DAIICT University, 2016
• B.E. in Electronics and Communication Engineering (EC), LD College of Engineering, 2014

Work experience

Academic:

• Summer 2020: Teaching Assistant, Introduction to Computer Vision
  • Friedrich Alexander University
  • Duties included: Conducting Programming Exercises
  • Supervisor: Dr. Ronak Kosti
• Summer 2015, Summer 2016: Teaching Assistant, Introduction to Communication Systems
  • DAIICT University
  • Duties included: Conducting Labs and Assignments.
  • Supervisor: Professor Sanjeev Gupta
• Winter 2015: Teaching Assistant, Introduction to Linear Algebra
  • DAIICT University
  • Duties included: Teaching and Discussing Exercises, Tutorials and Assignments.
  • Supervisor: Professor Jaideep Mulherkar
• Winter 2014: Teaching Assistant, Calculus
  • DAIICT University
  • Duties included: Teaching and Discussing Exercises, Tutorials and Assignments.
  • Supervisor: Professor V. Sunitha

Professional:

• July, 2016 to November, 2018, Machine Learning Engineer
• Where: InFoCusp Innovations Pvt. Ltd.
• Major Projects:
  • Anglr: Anglr Tracker is a device mounted on a fishing rod that automatically tracks every fishing activity into a digital logbook for a better fishing experience. My role was to observe, analyze and clean the data. After the data processing steps, I made various fishing activity detection models in python (for development) and C (for deployment) for various fishing activities and finally did verification and validation testing.
  • DeepDive: DeepDive was a project that involved visualization and understanding of Convolutional neural networks (CNN). The outcome of the project was an open-source tool called ‘tf-cnnvis’ that helped users visualize CNNs in a better way. My role was to discuss and brainstorm ideas with the team. I used to help solve bugs and analysis once the ideas were developed.
  • SniperAI: Sniper AI is a tool using artificial intelligence for recruitment. It uses machine learning to match CVs and job specifications. My role was to design the algorithm, deliver then implementation solution and make it scalable for large amount of data for concurrent access to multiple users. I also designed and implemented an automated test-bench for objective evaluation of various algorithm metrics. I also did substantial manual testing on the developed algorithms for subjective testing.

Skills

• Machine / Deep learning based modeling
• python
  • keras, pytorch, fastai, tensorflow
  • pandas, numpy, sklearn, matplotlib, nltk
• C, MATLAB
• [Basic] Apache pyspark, Hadoop, AWS
• LaTeX