I am Ashutosh Mishra. I am from Bhubaneswar, Odisha. I am interested in machine learning and Artificial Intelligence. I love how the ML is changing the world. I aim at contributing as much as I can to these fields. My research interests include Generative Adversarial Networks, Attention models, Sequence to Sequence models and Adversarial Learning. My current research projects are on Deep representation of visual descriptions and LimbicAI which is an AI that induces emotion like fear into an AI. Apart from my interests in AI I have a keen interest in Japanese Culture and Space.I love reading blogs on space and AI in my free time.
• Extraction of high value analytics from Legal Corpus • Extraction of common provisions, clauses, and data points from Contracts with 90% precision • Building robust ML pipelines with concurrent API end points • Improved in-house API to serve multiple requests faster by 10% • Lessened speed of text-based captcha solving by 25% using SOTA object detection • Improvising fuzzy text matching to be 25% faster on large scale text matching of quoted text between multiple Legal Corpus • Programmed a Case summarization tool of relative chronology of case proceedings using SOTA transformers based models • Developed a first person reasoning model to identify the polarity of speaker • Building, scaling and deploying an ensemble model of transformer and supervised machine learning algorithms to extract information in form of one-class classification • Incorporated a sentence similarity model to find similar text wrt. context of the text using SOTA Natural Language Understanding techniques • Assembled a system to help customers identify in case of force-majeure or renewal of contracts using dependency parsing and word2vecJun. 2019
Developing backend for deploying a server for day-stock prediction and trading. Predicting long term dependencies for NIFTY using xgboost and ensemble of LSTM and GRU.Aug. 2018
Financial data modeling.Statistical analysis on long term prediction for hedge-funds like S&P 500 with 92% accuracy.Testing and developing models for stock price prediction.Jun. 2018
Process economic and finance domain algorithms and methods for feature extraction.Use LSTM,Dynamic Time Wraping, Clustering and scalable methods to build prediction system.Create a GDP prediction system with 5% more accurate than IMF.Feb. 2018
Studied Computer Science Engineering and Applications.Apr. 2019
Studied Computer Science(12th Class) in DAV Public School, PKT and graduated in the year 2015.Apr. 2015