Maulik Shah
***************@*****.***
Artificial Intelligence (AI) and Software Engineer
A proven AI Enthusiast, Software Engineer with hands-on experience in developing and deploying large-scale applications and system integrations using cutting-edge domain knowledge, real-world as well as research projects/ publications in AI. Demonstrated skills in Data Engineering with ETL processes, data warehouses, data visualization that provide data insights for decision making. Efficient collaborator with technical and business teams to drive projects that are aligned with company timelines and objectives. Continuous learner and a clear communicator who grasps new technologies quickly to become a substantial contributor to a team.
Core Technical Competencies
AI: Classical Machine Learning and Deep Learning: Computer Vision and NLP, Multi-agent Decision Planning and Reinforcement Learning, Data Engineering, Data Visualization, Evolutionary Algorithms
Software Engineering: Application Development, Software Architecture, System Integration, Design Patterns, Micro Services, Versioning, Unit Testing
Languages: Python, Java, C#, C++, SQL/PLSQL, R, VBA, JSON, LaTeX
Frameworks: PyTorch, Gym, ROS, Spark, Plotly and Dash, Git, OAF and ADF for Oracle EBS, Oracle SOA
Databases: Oracle RDBMS, CosmosDB, MySQL
Operating Systems: Linux (Ubuntu, Red Hat, etc.), Windows
Cloud Platforms: Microsoft Azure, Google Cloud
Publications
Adam Eck, Maulik Shah, Prashant Doshi, and Leen-Kiat Soh. “Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems.” In Thirty-Fourth AAAI Conference on Artificial Intelligence. 2020.
A novel decision-theoretic individual planning framework for multi-agent(robot) systems involving agents in hundreds. Real world use cases: decision planning in a collaborating team of fire-fighting robots, autonomous ride sharing cabs.
Professional Experience
Johnson Controls, Milwaukee, WI June 2019 – May 2020
AI Software Engineer
Built AI-centric software and machine learning models, and modeled databases in building systems domain.
Led a team of 5 to implement an Integration API, which connected ML models to end-user products using C#, Microsoft Azure, Git, Agile methodology, resulting in bridging the gap between the data science and product teams.
Implemented a reliability model and visualization for a predictive maintenance project from multiple data sources using Python, Plotly library, Git, and Microsoft Azure Linux machines.
Modeled entity-relationship schema definitions in CosmosDB for representing space, assets, and points in buildings. Used Python REST libraries to utilize JCI’s schema APIs.
Worked on implementing an Energy-Simulator environment using OpenAI Gym framework in Python.
University of Georgia, Athens, GA February 2017 – February 2018 May 2018 – May 2019
Student Worker - Student Information and Systems Team, EITS
Designed and developed data applications for the university student information systems.
Automated the data-warehousing snapshots using SQL, PLSQL, and VBA, resulting in avoiding manual scheduling tasks and significantly reducing man hours.
Conducted data migration, reconciliation, and reporting for millions of academic records for Oracle RDBMS database using SQL, PLSQL, etc.
Was awarded UGA Student Employee of the Year, 2017.
Evolutionary Systems Pvt. Ltd., Ahmedabad, India August 2012 – August 2016
Technical Consultant - Application Development Team
Worked as a software and data engineer, system integrator for enterprise applications contributing to over 10 global enterprise projects, primarily in the Oracle ERP domain that impacted thousands of users.
Designed and implemented enterprise applications and workflows using Oracle OAF, Oracle ADF in Java.
Developed and administered large-scale system integration using Oracle SOA and Oracle Linux Servers.
Performed Data Engineering tasks using SQL and PLSQL for mammoth size enterprise databases.
Developed architecture and implemented applications in variety of areas including employee timesheets, supply-chain requisitions, warehouse applications, HR services, etc.
Created industry standard documentation, training, and mentoring that resulted a knowledge repository for future projects.
Education
Master of Science, Artificial Intelligence - University of Georgia, Athens, GA – 2019.
Bachelor of Engineering, Computer Engineering - Gujarat Technological University, Gujarat, India.
Academic Projects
University of Georgia, Athens, GA
Parkinson’s disease prediction by applying deep learning to fMRI images: Mar 2018 - May 2018
Segmented and registered 3D brain fMRI image dataset (200+ GB) to identify healthy or pathogenic brain states. Implemented a deep learning framework, V-NET, in PyTorch on NVidia on-premise and GCP Linux GPU machines on a team of 2.
Documents classification of Reuters’s dataset over 100 GB in size, January 2018 - February 2018
Built distributed classification model using NLP methods like Naive Bayes and SVM with the Apache PySpark framework on Linux GCP clusters, while achieving over 90% accuracy with a team of 3.
Analysis of EU amendment delegation to third-party authorities, April 2017 - June 2017
Built classification model for amendments’ delegation using classical NLP techniques and data visualization methods in R.
Regression modeling for All-State insurance claim dataset, November 2016-December 2016
Built regression models with linear regression, regression trees, and PCA for a data set with 114 feature columns and more than 110K records using Weka and R.
Additional projects available in portfolio
Volunteering
Code for Milwaukee, Milwaukee, WI
Contribute to the software projects for social benefits with my technical and communication skills.
SEA Literacy, Milwaukee, WI
Tutored refugee children in language, math and sciences to support their education.
UGA Grad School Emerging Leader Program, Athens, GA
Participated in the leadership program to learn soft skills and contributed to a community project to teach soft skills to middle-school students.
Other organizations volunteered for: UGA Red Cross, UGA Speak out for Species, AIESEC Ahmedabad.