Software Engineer with Impactful Delivery and AI Ops Experience

AMEYA SANTOSH GIDH

USA Open to relocation

+1-857-***-**** **********@*****.*** linkedin.com/in/ameya-gidh github.com/ameyagidh ameyag2.netlify.app EDUCATION

Northeastern University, Khoury College of Computer Science Massachusetts, USA September 2021 – May 2024 Master of Science in Computer Science

University of Mumbai, Sardar Patel College of Engineering Maharashtra, India August 2017 – May 2021 Bachelor of Technology in Mechanical Engineering

SKILLS

Programming Languages: Python, Java, JavaScript, C++, C#, .NET Front-end Technologies: React, TypeScript, Angular, React Native, HTML, CSS, Bootstrap Back-end Technologies: Django, Flask, Node.js, RESTful API, Spring Boot Databases & Testing Tools: MySQL, PostgreSQL, MongoDB, Unit Testing, pytest, Selenium, Jest, Postman, Swagger Cloud Native DevOps: AWS, Microsoft Azure, Docker, Jira, Git, GitHub, Apache Kafka, Agile, Scrum ML & Data Science Tools: TensorFlow, scikit-learn, NumPy, Pandas, Matplotlib, Hadoop, Spark, Tableau WORK EXPERIENCE

Amazon Software Engineer Washington, USA December 2024 – Current

• Led the 2025 launch of the Simplified Inbound Placement Service Fee (IPSF) by retiring the Discounted Inbound option, streamlining inbound workflows, and delivering $151M in annual Cost-to-Serve savings across Amazon’s fulfillment network

• Revamped inbound placement fee rules to charge partial non-compliance across 4 of 5 facilities, streamlining inventory placement, improving fulfillment efficiency, and generating a $43.2M in additional revenue for Amazon Global Stores

• Spearheaded the integration of Gen AI assistants (Baliar Assistant and Lens AI) to automate ticket resolution, reducing manual effort, speeding up metrics and log retrieval by 15%, thus improving overall team productivity and operational efficiency

• Configured AWS load balancers for improving traffic distribution, system reliability, and ensuring high availability of services

• Orchestrated the creation of the Gamma environment for testing microservices, enabling tenants to efficiently validate configuration and code workflows, reducing operational effort by 40% and ensuring safer, more reliable production deployments

• Containerized AWS Lambda microservices using Docker and configured YAML files, accelerating deployment cycles, minimizing downtime, enhancing system reliability, and improving end-user experience across production environments

• Upgraded Java version from 8 to 17 and migrated multiple services acro ss packages and pipelines thus optimizing the tech stack

• Led API migration to support new fee workflows, expanding services to a new region and driving measurable business growth Delsys Software Engineer Co-op Massachusetts, USA January 2023 – August 2023

• 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 using C#, 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 Python software workflow by identifying bottlenecks and implementing portable automation solutions to integrate the Delsys API with 20+ products, accelerating data exchange and enabling faster, more accurate sensor data analysis

• Actively took part in sprints planning, backlog refinement and operational tasks, enabling timely feature delivery of our products PROJECTS

• Distributed Messenger: Created a scalable Java-based distributed messenger with SQL integration and decentralized architecture for supporting real-time messaging feature for seamless media sharing on a P2P network across multiple users

• Image Processing Software: Built an Image processing software using the MVC design pattern with features like image compression, exposure control, color correction, and levels adjustment to enhance user experience and improve image quality

• Project Management Website: Engineered a MERN stack SaaS web application featuring user profiles, interactive Kanban dashboards and breakout rooms, enabling seamless team collaboration and improving overall project operational efficiency

• Finance Mobile App: Managed a team of five to develop an expense tracking and budgeting app using Java and Firebase, integrating personalized dashboards, visualizations, and live news feeds to empower users to make informed financial decisions

• Question Answering Bot: Crafted an LSTM Seq2Seq system with attention, conducted data preprocessing and EDA, trained the model, and built a GUI chatbot to deliver a complete, user-friendly end-to-end deep learning solution LEADERSHIP ROLES AND ACHIEVEMENTS

• Graduate Research Apprentice, created a debugging tool for the open-source Python library Knit-Script to quickly rectify errors

• Graduate Teaching Assistant for Theory of Computation, assisted 100+ students in the course by supervising exams, grading assignments, holding weekly office hours, and providing constructive feedback for supporting student academic growth