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piyush0364

Piyush Tripathi

@piyush0364

Software Engineer

Inde
Anglais, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
I help startups and businesses build scalable software solutions using AI, cloud technologies, and modern engineering practices. My expertise includes .NET, Azure, OpenAI, microservices, REST APIs, Angular, React, SQL Server, and Docker. I specialize in AI-powered applications, SaaS platforms, enterprise software, cloud modernization, workflow automation, and system integrations. I focus on delivering secure, maintainable, and business-driven solutions that create measurable impact.... Plus d’infos

Compétences

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piyush0364
Piyush Tripathi
hors ligne • 

Voir mes services

Applications Web Full stack
I will build an ai powered platform for your business
Applications Web Full stack
I will build an ai powered platform for your business

Expérience professionnelle

Genpact

Software Engineer

Genpact

Aug 2024 - Present1 yr 11 mos

• Engineered core features for the FieldTrax operations platform (BrandSafway, US), leading its evolution from MVP v0.5 to stable production v1.0 by refactoring business logic and resolving critical legacy issues; also contributed to GENAISYS, Genpact’s internal invoicing and project management platform. • Designed and built scalable microservices and backend systems using .NET Core , exposing RESTful and GraphQL APIs to support internal workflows and third-party integrations. • Implemented asynchronous, event-driven communication between microservices using Amazon Simple Queue Service (SQS), enabling reliable message queuing, improved fault tolerance, and decoupled system architecture for better scalability and performance. • Modernized legacy applications by migrating to the latest .NET framework and refactoring Entity Framework logic into optimized Oracle PL/SQL stored procedures, improving SQL Server and PostgreSQL performance. • Integrated Amazon Bedrock–powered generative AI into GENAISYS invoicing workflows for automated data extraction, validation, and summarization, reducing manual effort and improving processing accuracy. • Enabled virtual assistant capabilities via API integrations within GENAISYS, automating invoicing and operational workflows and increasing platform efficiency and adoption. • Built an end-to-end predictive analytics engine where a .NET batch program invoked Python and Pickle-based ML models for tasks such as Propensity to Pay, Propensity to Dispute, and customer risk segmentation, with automated database integration, prediction processing, result updates, and dashboard visualization. • Owned the end-to-end development lifecycle in Azure DevOps, including user stories, PR reviews, and CI/CD pipelines, reducing manual release effort by 50%.Worked in Agile teams, collaborating closely with product managers and cross-functional stakeholders to deliver scalable, business-aligned solutions.