Suyash J.

Software Engineer | Backend & Cloud Engineer | AI & Machine Learning | Python, React,Java, Microservices | Scalable Systems & API Development | AWS, Kubernetes, Redis | LLM

Role
Software Developer at Amdocs
Location
Dallas, TX, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Suyash J.

I am a Software Developer specializing in backend engineering, cloud computing, and…

Experience

  1. Software Developer

    Amdocs

    Aug 2021 — Present · Plano, TX, US

    As a Senior Software Developer at Amdocs, I engineer and deploy scalable software solutions, automation platforms, and AI-powered tools that modernize AT & T\'s retail backend systems hosted on AWS and Salesforce.Software & Automation Platform EngineeringArchitected and developed scalable automation platforms using Python, Java, and Spring Boot that transformed AT & T\'s testing strategies. These solutions automated critical UI and API workflows, reducing manual regression efforts by 80%(from 2 hours to 20 minutes) and accelerating overall development cycles.Engineered robust backend services with Spring Boot and PostgreSQL, building and consuming RESTful APIs to ensure seamless system integrations and data integrity.Integrated all software solutions into Jenkins and Azure CI/CD pipelines, enabling continuous validation and streamlining deployment processes.AI & Data SolutionsInnovated and built a novel LLM-based semantic search tool from the ground up using LangChain and OpenAI, which improved the efficiency of analyzing over 1,400 historical defects by 40%.Developed an AI-driven audio classification system that achieved 82% accuracy in identifying human speech, saving over 1,200 hours of manual processing annually.Engineered ETL pipelines and optimized complex SQL queries to manage test data for the Salesforce environment, successfully processing over data requests for engineering teams.System Optimization & Business ImpactSpearheaded a major environment consolidation initiative within our AWS cloud infrastructure that saved up to per day in operational costs by decommissioning unused legacy applications.Improved system reliability by reducing production downtime by 30% through proactive issue resolution and strategic test case design.

Education

  • Stevens Institute of Technology

    Master's degree

    2019 — 2021

  • KJ Somaiya College of Engineering, Vidyavihar

    Bachelor's degree

    2014 — 2018

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Suyash J. — Software Developer at Amdocs in Dallas, TX, US | Unifers