
Ameya Santosh Gidh
Software Dev Engineer @ Amazon
About
• Software Development Engineer (SDE) with 2+ years of hands-on experience designing, developing, and deploying scalable, high-performance applications in fast-paced environments. Experienced in building distributed systems, RESTful APIs, and microservices architectures that deliver reliable, production-grade solutions. • Skilled in backend engineering using Java and Spring Boot, developing robust microservices and REST APIs with scalable system design principles. • Designed and implemented responsive, user-centric UI/UX interfaces using ReactJS, TypeScript, AngularJS, JavaScript, HTML5, CSS3, and Bootstrap, ensuring performance optimization and seamless user experience. • Specialized in Artificial Intelligence, Deep Learning, and Generative AI, with hands-on experience developing and optimizing Large Language Models (LLMs), applying transformer architectures, and implementing advanced prompt engineering strategies. • Strong expertise in Natural Language Processing (NLP) including text classification, sentiment analysis, named entity recognition (NER), text summarization, and building AI-driven conversational systems. • Proficient in Python programming, building and training machine learning and deep learning models using TensorFlow, scikit-learn, Pandas, and NumPy, focusing on predictive analytics, model optimization, and performance evaluation. • Experienced in Data Science and Machine Learning workflows, including data wrangling, exploratory data analysis (EDA), feature engineering, statistical analysis, hypothesis testing, and model deployment. • Competent in developing full-stack applications using Django and Flask, with strong expertise in ETL processes, database management, and data warehousing using PostgreSQL, SQL, and MongoDB. • Built scalable data pipelines and deployed AI/ML models to production environments using AWS and Azure cloud platforms, implementing MLOps best practices. • Created interactive data visualizations and business intelligence dashboards using Tableau and MS Excel for real-time analytics and decision-making. • Established and maintained CI/CD pipelines using Jenkins, automating testing, integration, and deployment processes to improve development velocity and system reliability. • Strong problem-solving, analytical, and troubleshooting skills, combined with effective cross-functional communication and teamwork, driving innovation and delivering business-aligned technical solutions.
United States
Seattle
Computer Software
Big Data, HTML, Cascading Style Sheets (CSS), JavaScript, Node.js, Time Series Forecasting, React.js, Information Technology Infrastructure, Flask, Project Management, MERN Stack, GitHub, Design Patterns, Networking, Firebase, Web Services API, Cloud Computing, Spring Boot, RESTful WebServices, Microservices
Experience

Software Engineer Intern
Boston, Massachusetts, United States
• Developed a microservice-based web app using React for front end and Python for back end, integrating features like sentiment analysis, text summarization, and BERT to create a QA bot, resulting in a 15% reduction in support queries • Designed an interactive GUI using JavaScript, Bootstrap, HTML, and CSS to enhance user experience, resulting in a more intuitive interface that improved navigation and increased user engagement by 25% • Hosted the app on AWS, implemented caching mechanisms for faster information retrieval, configured Kafka messaging queues, and built Docker containers for individual microservice development to enhance scalability •Implemented API endpoints using Node.js and Flask, thus optimizing data storage, retrieval, and extraction processes

Software Engineer Coop
Natick, Massachusetts, United States
• Achieved a remarkable 320ms runtime reduction aiding in real-time data transfer for next-generation Delsys products and APIs • Implemented new features into Delsys desktop app using MVC architecture, leading to 7% reduction in support queries • Worked with cross-functional teams to optimize the data pipeline and monitor integrity, thus ensuring efficient dataflow • Adopted Agile methodologies to streamline development processes, ensuring timely delivery and alignment with business goals • Streamlined the workflow for Python software by identifying bottlenecks and executing improvements using innovative portable solutions to automate data exchange between the Delsys API and 20+ new products the system

Graduate Teaching Assistant
Boston, Massachusetts, United States
• Supervised exams, solved intricate problems for Theory of Computation course assisting over 100+ students by offering them constructive feedback for their academic growth • Coordinated with faculty to manage logistics, conducted weekly office hours, graded assignments and supervised exams for the course
Education

Computer Science
Coursework: CS5800 Algorithms CS5004 Object oriented design CS 5610 Web Development CS 6140 Machine Learning CS 6120 Natural Language Processing DS 5110 Introduction to Data Management and Processing with R CS 5008 Data Structures, Algorithms and their applications to computer systems CS5520 Mobile Application Development CS 5002 Discrete Structures CS 5001 Intensive foundations of Computer Science (Python)

Mechanical Engineering
Coursework: BT207 Computer Programming in C++ OE-BTM718 Fundamentals of AI and Machine Learning OE-BTE805 Image Processing OE-BTM614 Introduction to Optimization Methods OL-BTM882 Database Management System PE-BTM511 Finite Elements Methods PC-BTM606. CAD / CAM / CIM
Ameya Santosh Gidh's Contact Information
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