I have worked in the field of Information Extraction, Natural Language Processing, Computer Vision and have 3 years of experience, working on many projects related to the application of machine learning and deep learning in these fields like Video summarization, Time Series Analysis, Information Extraction, Object localization and classification, Tabular data analytics, etc. You can find these projects in my resume. Also in my spare time, I like to work on IOT based projects and some cool Robotics projects. I am currently a student and exploring all the possibilities and would like to work on good research-oriented projects as well as would love to gain experience while applying my skills to solve real-world issues. My goal is to become a research scientist who deals with cutting edge technology in A.I. specifically in the domain of natural language processing. But currently, I am looking forward to freelancing opportunities to gain more experience in these fields
Shashank Pathak
H-39 Shivram Complex
Sagar, M.P.(470004),India
Contact me on this mail
shashankhalo7@gmail.com
BTech in Computer Science and Engineering • 2015-2019
CGPA:8.77/10
Research Intern• April 2019 - Present
Worked as a Research Intern under Dr. Ayan Seal at IITDM Jabalpur. Worked on multiple Research problems related to applications of deep learning in Biomedical Science
Research Intern• April 2018- June 2018
Worked on Legal Document Information Extraction Pipeline (a project based on Machine Learning, Natural Language Processing and Computer Vision)
An Autonomous Cloud Integrated medicine delivery system which uses line following robot as basis of architecture.
IOT,RoboticsIt does the automatic segmentation of tumour and then classifying it as benign or malignant and then further into eight types as described in the image./p> Computer Vision,Biomedical
Classi cation of 13 million question pairs as similar or not with an accuracy of 82% by using fundamentals of NLP and ML.
Natural Language ProcessingAnalysis on how di erent segmentation techniques can be applied for the detection of nuclie in cytological images. Used segmentation method to achieve an improved precision by 11%.
Computer Vision,BiomedicalGenerated a SNMP Parameters dataset based on simulated DDOS attack. This was used to detect and prevent the possibility of a DDOS attack by using various machine learning technique with an accuracy of 81%.
Machine Learning, Cyber SecurityTo build a hand sign translator that can help mute people to communicate with an audience. Successfully built a translator for static as well dynamic gesture involving hand movements using video action recognition methods like LRCN and 3DCN.
Computer Vision,Sequence ModellingAn expense tracking system with functionalities like a smart recommendation, pocket tracking etc . Also working to create a reinforcement learning agent for expense forecasting.
Computer Vision, Natural Language Processing,Automation,FinanceIf you face any issue contacting me via my mail or phone,you can leave me a message right now by using the form below. Leave your contact there. I'll get back to you as soon as possible.