Atul Gupta

Something about me

Hi, I'm Atul Gupta. With 5 years of hands-on experience in Al and machine learning, coupled with deep expertise in AWS cloud architecture, I specialize in developing and deploying advanced Al solutions. I have a solid background in predictive modeling, data analytics, and full-stack application development, demonstrated through my work at Accenture and Tech9logy Creators. My projects range from optimizing Hilton's global property management system to creating serverless applications on AWS. I'm proficient in leveraging AWS services like SageMaker, Lambda, and EC2, and have a track record of using machine learning frameworks such as TensorFlow and PyTorch to build scalable, impactful solutions. I'm excited about the opportunity to apply my skills to solve complex problems and drive innovation in a forward-thinking team.

Skills

Machine learning: Numpy, Pandas, Scikit-learn, Keras, Tensorflow, Jupyter, matplotlib, seaborn, Pytorch, prompt engineering, Artificial neural networks, Convolutional neural networks, LSTMs, Recurrent neural networks, Attention models like autoencoders and generative adversarial networks, generative transformers

Data Analysis: Data pipelining, Data cleaning, Exploratory data analysis, Feature engineering, Integration with GenAI via AWS Bedrock, PySpark, Big data analytics, Hadoop

Cloud Computing: AWS solution architecture, EC2, VPC, RDS, DynamoDB, S3, Lambda, Edge computing, Auto scaling groups, Serverless architecture, IAM, Cognito, Logging and monitoring, RESTful APIs on API Gateway, Cost explorer

Mathematics: Bayesian decision theory, Statistical analysis, Linear/Logistic regression, clustering, graph models

Databases: MS SQL Server (SSIS, SSRS, SSMS, SQL Profiler, backup and restore), T-SQL, MongoDB

Software Development: Java/J2EE, Python, JavaScript (Node.js, Express.js), HTML, CSS (Bootstrap), Debugging, Optimization, Code Review

Project Management: Agile methodologies (Scrum Master for academic project), Six Sigma (Lean and Yellow Belt), Git and Github

AWS Certified Solutions Architect Associate

Work Experience

Accenture

Hilton is a full-service, multinational hospitality company that includes 7530 properties in 118 countries that was founded in 1919. As an application developer for Hilton, I worked on developing Hilton’s Property Management System, OnQ PMS. The system is central to Hilton’s global operations as it manages reservations, inventory, guests, housekeeping, payments, property status, brands, sub-brands, Hilton loyalty programs, data backups, report generation etc. The system needs to be available 24/7 in all Hilton locations worldwide and it needs to comply with local regulations that vary significantly around the world.

• Developed OnQ Maintenance Service (python) – a stand-alone windows service deployed on all OnQ PMS instances. The service monitored KPIs on 7000+ windows servers, generated detailed logs on the local machine and sent periodic alerts on server health
• Designed database schemas in MS SQL Server (2012 and above) for new functionalities
• Created a multi-threaded data scraper to fetch data from MS SQL Server instances worldwide
• Used the data scraper to gather large amounts of reservation data from all hotels and developed a machine learning model (random forest regression) to predict future revenue and guest bookings on monthly as well as annual basis
• Volunteered to lead the development of MasterSweep – a Powershell and python-based automation script that deployed code worldwide
• Volunteered to lead the development of 7 six-sigma yellow belt projects
• Wrote a whitepaper on the need to migrate Hilton’s on-prem infrastructure to AWS cloud and presented the paper to client technology leads
• Documented critical application failures in SNOW and presented Root Cause Analysis reports to clients

Tech9logy Creators

Tech9logy Creators is a software development and IT consulting firm based in India. It works with clients primarily from India and Australia on unique software development projects. I worked as a software developer in their backend development team.

• Created proof of concept in AWS for a Tasty Tweets, a local bakery, demonstrating the viability of finished project to the client
• Met with client teams to discuss requirements
• Refactored existing python code to improve performance by 20%
• Created detailed technical documentation of the ongoing projects to be used for future reference

Education

Master of Science - Computer Science

Stevens Institue of Technology, Hoboken, NJ, USA

GPA: 3.96

Coursework: Data Structures, Algorithms, Agile Development, Machine Learning, Deep Learning, Big Data

Bachelor of Technology - Electrical and Electronics Engineering

Vellore Institue of Technology, Vellore, TN, India

GPA: 3.0

Thesis: Optimal Placement and Sizing of Distributed Generations Units using Sine Cosine Algorithm

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