About
I am a dedicated and forward-thinking Master's graduate in Information Technology and Sciences from Southern New Hampshire University, specializing in innovative tech solutions and modern software development. Currently working as a Full Stack Developer at YTT Global Services, building AI-driven workflows and scalable web applications.
Software Engineer & Developer
- Phone: +1 (603) 264-5904
- City: Manchester, NH, USA
- Degree: Master of Science
- Email: adityasai0126@gmail.com
Full Stack Java/Python Developer | AI-Enabled Solutions | Cloud & DevOps Expert
Full stack Java/Python developer with experience building scalable web applications, AI-driven ticketing workflows, and customer-facing chatbots in fast-paced environments. Proven track record delivering secure, data-intensive solutions for federal and commercial clients using Spring Boot, REST APIs, PostgreSQL, and cloud DevOps practices.I specialize in designing and developing dynamic, data-driven applications that drive measurable business outcomes. With experience spanning across backend microservices, front-end frameworks, and cloud technologies, I build responsive full stack applications that bridge user experience with server-side functionality.
Currently working with AI technologies including LLMs (GPT, Mistral), LangChain, and LangSmith to create intelligent automation workflows. I craft responsive user interfaces using React, Vue.js, and Angular that integrate seamlessly with back-end technologies like Spring Boot and Node.js. My strong DevOps and cloud background allows me to streamline development using Docker, Kubernetes, Terraform, and manage deployments on AWS and OpenShift.
Driven by curiosity and a commitment to learning, I enjoy solving challenges at the intersection of technology and innovation, particularly in AI-assisted workflows and automation systems.
Skills
My skills as a Full stack developer mainly comprises the skills listed below. Additionally, there are other skills which are listed in my resume.
Experience
I have 3+ years of professional experience as a Full Stack Developer building scalable applications, AI-driven workflows, and enterprise solutions
Education
Master of Science in Information Technology
May 2022 - Dec 2023
Southern New Hampshire University, Manchester, NH
Bachelor of Technology in Computer Science and Engineering
2017 - 2021
Gandhi Institute of Technology And Management(GITAM) University, Hyderabad, India
Internship Experience
Phoenix Global
Mar 2019 - Aug
Hyderabad, Telangana, India
I gained hands-on experience in cybersecurity by researching and testing tools like Metasploit, Nmap, and Wireshark. I also developed Python scripts to detect ARP poisoning attacks and identify systems in promiscuous mode, integrating them into a user-friendly GUI.
Professional Experience
Full Stack Developer
May 2024 - Present
YTT Global Services, Georgia, USA (REMOTE)
- Designed and maintained workflow automations using n8n to connect internal tools, client systems, and AI services, reducing repetitive manual work in day-to-day operations.
- Built and optimized backend APIs using Java, Spring Boot, and PostgreSQL to support client projects and internal platforms at an AI-focused technology consulting company.
- Implemented an n8n-based ticket management flow for a healthcare client (Reverse Karma) to automatically capture, route, and update support tickets from multiple channels, improving response speed and follow-through.
- Experimented with LLMs such as GPT and Mistral, wiring them into workflows and backend services to handle tasks like text classification, summarization, and response drafting for internal tools and client demos.
- Used frameworks like LangChain and LangSmith in prototypes to explore retrieval-augmented generation, prompt evaluation, and AI-assisted flows for future client solutions.
- Automated deployment workflows using CI/CD pipelines in OpenShift, cutting deployment times by 50%.
Software Development Engineer
Feb 2024 - May 2024
SyntacTech Inc., North Andover, MA, USA
- Collaborated with federal stakeholders, business analysts, and senior engineers to gather requirements, refine user stories, and translate complex policy and reporting needs into technical specifications while adhering to federal standards.
- Led end-to-end redesign and development of an internal federal dashboard using Java, Spring Boot, Bootstrap and Vue.js.
- Designed and implemented secure RESTful APIs and integrations with multiple data services to handle large-volume, sensitive data and metrics.
- Optimized database queries and API performance to support large data sets and high-frequency usage with reduced response times.
- Managed tasks and milestones in an Agile environment, contributing to delivering the project ahead of schedule.
Web Application Developer
Mar 2021 - Apr 2022
Think & Learn Pvt. Ltd., Hyderabad, Telangana, India
- Developed web pages applying best standards and designed dynamic and multi-browser compatible pages using HTML, DHTML, CSS and JavaScript.
- Developed Web API with Node.js hosted on multiple load-balanced instances.
- Refactored monolithic applications to modular microservices using Spring Boot.
- Implemented search functionality for internal applications using Angular JS and Node.js.
- Involved with Product Managers and Software Engineers to provide guidelines on solid UI design.
- Developed Spring Configuration for dependency injection by using Spring IOC, Spring Controllers.
Projects
These are some of my projects
- All
- Web Design
- Cybersecurity
Service Portal - ITSM Ticket Management System
Comprehensive ITSM (IT Service Management) portal built with Next.js 14, React 18, TypeScript, and PostgreSQL. A complete solution for managing service requests, tickets, and IT operations.
Features include multi-role authentication, ticket management with SLA tracking, email integration, reporting & analytics, service catalog, and onboarding management.
Inventory Management System
Spearheaded full-stack application development for streamlined food inventory management.
Designed RESTful APIs and leveraged React to 2x user efficiency.
Deep Learning Based - Masked Face Detection System
An application that detects whether if a person wearing face mask or not using real time web cam.
Used TensorFlow for building and training the neural network models. Implemented Computer Vision Library, OpenCV for Image Processing, Feature Extraction and Object Detection.
Detection of ARP Poisoning and Promiscuous mode
• Designed a GUI using tkinter
• Researched and established multiple cybersecurity tools to learn about networking and security.
• Integrated the scripts written for detection of ARP Poisoning and Promiscuous mode.