- Name: Anubhav Sachan
Final Year Undergrad,
Electronics and Communication Engineering,
NATIONAL INSTITUTE OF TECHNOLOGY SILCHAR, ASSAM, IND.
- Residence: SR-111, Srinivasa Ramanujan Hall, National Institute of Technology Silchar.
- Hometown: Kanpur, Uttar Pradesh, IND.
(+91) 8090 736 674
I have been working with Speech and Language Technology Lab at Saarthi.ai, a conversational AI startup, as Deep Learning Intern to improve the dialogue agent policy using Actor-Critic framework and focussing on dialogue generation through few-shot knowledge transfer networks.
I have an enriching experience of working in Pattern Recognition and Image Analysis Lab at Indian Institute of Technology Indore with Dr. Vivek Kanhangad, to develop a Fingerprint Recognition System based on Deep Learning Architecture and its Unsupervised Deep Domain Adaptation using Backpropagation during the Summers of 2019.
I also have worked with Computer Vision and Pattern Recognition Lab at Motilal Nehru National Institute of Technology Allahabad with Dr. Dushyant Kumar Singh to explore various basic machine learning algorithms and to employ challenge of ICDAR to predict the gender of a handwritten document during Winter of 2018.
My interests range from academic topics like, Reinforcement Learning, AI Interpretability, Advanced Neural Networks to non-academic including and not limited to Photography, (Re) Tweeting the latest technological updates.
I, currently, am Senior Executive Member at Obiettivo, Photography Club, NIT Silchar and also serving as Technical Lead: Machine Learning at NERDS, Robotics Club.
I have emerged as the Winner of Hackathon Module held in NIT Conclave 2019 at NIT Rourkela, and had been National Level Finalist at the software edition of Smart India Hackathon 2019 held at NIT Warangal.
• Natural Language Processing in Conversational AI
• Pattern Recognition in Biometrics
• Deep Learning using PyTorch
• Programming • Flask
• HTML5 • CSS3, Bootstrap • JS
• SQL • Git VCS • AWS • Latex • Bash Scripting • cmd • Adobe Photoshop • Adobe Lightroom
• Additionally, I'm familiar with C++, and C.