Shreya Verma

Software Engineer

Redmond, Washington, United States8 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Data Analysis.
Developed advanced AI projects in speech recognition and game theory.
Strong programming skills in Python and C++.

Stackforce AI infers this person is a Software Engineer with expertise in AI and Machine Learning.

Contact

vermashreya165@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData AnalysisSoftware DevelopmentAlgorithms

Other Skills

Automatic Speech RecognitionCC++Compositional SemanticsDeep LearningDeep Neural NetworksDistributional SemanticsDynamic ProgrammingEnsemble learning methodsGenerative modelsGitJavaJavaScriptLinuxMarkov Decision Processes

Experience

Microsoft

Software Engineer II (IC 3)

Aug 2021 – Present · 4 yrs 7 mos · Redmond, Washington, United States

Netapp

2 roles

Software Engineer III

Promoted

Jun 2021 – Aug 2021 · 2 mos · Greater Denver Area

Software Engineer II

May 2018 – May 2021 · 3 yrs · Greater Denver Area

API driven cluster upgrades for REST clients

University of colorado

Research Project

Oct 2017 – May 2018 · 7 mos · United States

Automatic Speech Recognition (NLP, POS tagging, Distributional & Compositional Semantics, Sentiment Analysis, Syntactical Parsing), Deep Learning (Generative models, Networks with memory), Regression/Support Vector Machines, Ensemble learning methods (random forests, boosting, PAQ, stacking, and dropout)
Development of Multiplayer Chess Game using Markov Decision Processes and analysis of Stochastic Game Theory using Dynamic Programming. (PYTHON)
Study of single player stochastic games while extending it to Matrix, Bi-Matrix and Graph Games (Backward Induction Principle). Determination of best response, Evaluation of saddle point, Nash Equilibrium and Opponent Modelling.
Reinforcement learning: Analysis of the Game of Go (Machine Learning, PYTHON)
Determination of Complexity of policy iteration algorithm and Monte Carlo prediction
Determination of the most effective move selection and position evaluation using the combination of Deep Neural Networks and MC Tree Search.

Automatic Speech RecognitionNLPPOS taggingDistributional SemanticsCompositional SemanticsSentiment Analysis+13