Binayaka Chakraborty

Binayaka Chakraborty Curriculum Vitae Personal     A-11, Uday Path, Odalbakra, Guwahati 781034, Assam--Binayaka binayakachakraborty Education Currently working as a Maching Learning (ML) Engineer (Engr.) with a total experience of over 6 years. Experience in domains of Computer Vision, Deep Learning, NLP and Healthcare IT. Hands on experience with requirement analysis and developement of products for Engineering Drawings (both hand-drawn and computer-assisted. Adept in debugging problems. Finds it worthwhile to mentor juniors and makes it conducive for group discussions to happen, making team members gel.). Work Experience 2017 – 2019 Master of Technology 8.51 CGPA Computer Science and Engineering Manipal Academy of Higher Education 2009 – 2013 Bachelor of Technology 8.27 CGPA Computer Science and Engineering Sikkim Manipal Institute of Technology Awards Current, from Aug 2020 (FT) Tata Consultancy Services, Research and Innovation Module Leader (Engineering Drawings), ML Engr. • Made Module Leader of the Engineering Drawings processing team • Delivered Proof-of-Concept of digitizing almost century old power line diagrams, thus winning TCS the tender for a project • Delivered Proof-of-Concept of extracting required information from P&ID diagrams • Delivered Proof-of-Concept of extracting required information from Architectural diagrams • Delivered Proof-of-Concept of a OCR module to extract text from scanned images, winning TCS the tender for a project July 2019 – July 2020 (FT) Tata Consultancy Services, Research and Innovation Team Leader (Delivery Team). I.T. Analyst • Made Team Leader of Delivery Team • Delivered seamless transition of user from a Conversational AI Chatbot (TCS KNADIA) to a human Agent • Delivered alias system to facilitate multiple language handling of the Ticketing system in the Conversational AI (TCS KNADIA) as a dropin plugin. Jul 2015 – Jul 2017 (FT) Tata Consultancy Services Team Member (SDM/Loblaw). System Engr. • • • • •  Worked with Architecture and Performance Teams Learnt about the JVM, Java Memory Model Learnt to figure out Memory Leaks and fix them Optimize in-house framework methods Provided tangible reduction of rendering time of application modules by implementing LRU caching 2020 On the Spot Award Tata Consultancy Services Digitized century old hand drawn images 2015 On the Spot Award Tata Consultancy Services Detected and closed a critical backend memory leak 2014 On the Spot Award Tata Consultancy Services Managed to compile a critical front-end module Work Stack Languages Hands-on OS Python, Java C, C++, C#, LATEX CUDA, OpenCV, Tensorflow Docker, Keras, Tesseract FastAPI, streamlit Linux, Windows Postgraduate Research “An Analysis of the Generation of Leaf Images using Generative Adversarial Network, and the Activation of Neurons during Classification using Bilinear Convolutional Neural Networks” My research examined the generation of images in an attempt to augment existing datasets with extra data, which could be then used to train better classification models. During the classification process, I delved into how the neurons of the network behaved and which part of the images Jul 2013 – Jul 2015 (FT) Tata Consultancy Services Team Member (SDM). Assistant System Engr. • Joined TCS • Handled the front-end part of a thick-client application, utilizing IBM SWT. References Dr. Geetha Maiyya Position Employer Mobile Professor Department of Computer Science and Engineering Manipal Institute of Technology Email Mobile Conferences Conferences 9th International Conference Applications and Techniques in Information Security, Nanning, China - Dr. Puneet Agarwal Position Employer played pivotal roles. The dataset chosen was the MalayaKew leaf dataset. I was motivated to conduct this research to understand how GANs work, and to achieve a better understanding of how the neurons saw the input image, in the course of which I examined the various images produced at each layer. I am currently in the process of re-writing it for publication. Chief Technology Officer Zensar Technologies-- Soft Skills Communication I believe that effective communication can help drastically reduce time required for chasing goals. It is crucial in avoiding project derails. Mentoring Publications Chakraborty B. (Geetha M., 2018). Emotion Recognition in a Conversational Context. In: Chen Q., Wu J., Zhang S., Yuan C., Batten L., Li G. (eds) Applications and Techniques in Information Security. ATIS 2018. Communications in Computer and Information Science, vol 950. Springer, Singapore. 2018 doi:fpqk First author publications in bold I always take the opportunity to help my juniors advance their skills. It is a good way to increase my own skills, as teaching others increases your own understanding. Passionate I have been interested in computer science from an early age. Grew up learning Logo, BASIC and HTML. Switched to C/C++ in college, learnt JAVA in TCS, and Python during my Masters. I have a love of art, and that is what led to learning OpenCV, to see if I can make digital art. That also led me to learn about fractals and their usage in today’s world.