I am a graduate student at IIIT Hyderabad. I finished my Bachelors in Computer Science and currently finishing my Masters by Research in Computational Natural Sciences. I am working under the guidance of Dr. U. Deva Priyakumar. I am affiliated with the Centre for Computational Natural Sciences and Bioinformatics (CCNSB), IIIT Hyderabad.
You can find my resume here
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
37th International Conference on Machine Learning (ICML), 2020.
Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U.Deva Priyaumar
34th AAAI Conference on Artificial Intelligence (AAAI), 2020.
Siddhartha Laghuvarapu*, Yashaswi Pathak*, U.Deva Priyaumar
Journal of Computational Chemistry, 2019.
Yashaswi Pathak, Karandeep Singh Juneja, Girish Varma, Masahiro Ehara, U Priyakumar
Under Review.
Graduate Research Assistant
Developing deep/machine learning based generative and predictive models that can be used for material/drug design and discovery.
Machine Learning Researcher
Worked on reinforcement learning based agent that can efficiently search for synthesizable drug-like molecules.
Working on developing autonomous platform for drug-design and discovery.
Research Analyst Intern
Developed Pipeline for various NLP Tasks.
Worked on Database design and efficient data extraction design for a huge data set of Industry materials.
Full Stack Developer
Developed complete web app as per client’s need.
Developed analytic tools for the admin to efficiently monitor the work progress of the organization.
Built a search engine in Python on the Wikipedia data dump. The engine had a variety of capabilities like field queries, exact-match retrieval and best-match retrieval.
Social media analytics using the twitter dataset was done. Structure based tree-LSTM model and structured self attention based models were used to perform the various tasks.
Developed a compiler frontend for a toy programming language. The compiler includes lexical analysis, syntax analysis, AST generation, interpreter and LLVM code generator.
Developing a mini "Generative Pretrained Transformer" GPT for drug like molecules that is able to generate molecules with ~100% accuracy while optimizing for a target property using RL algorithm.
Develop a 3D game similar to Legend of Zelda. Incorporated laws of physics(gravity, classical mechanics, etc.) without using any game engine.
Develop UNIX shell to interact with the kernel using system calls. Implemented features for I/O redirection, piping, background processes.