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Hrushikesh Kedar

Product Developer @ Epicor | Ex-Reuters | 4 Years+ in End-to-End Product Delivery | GenAI · Agentic AI · Distributed Systems

Bengaluru

4+ years of work experience

Epicor
Jul 20251 yrPresent

Bengaluru

Thomson Reuters
Mar 20232 yrs 5 mosJul 2025

Bengaluru

- Part of Reuters News and Media. - Helping journalists and editorials by providing news alerts and stories. Enhanced Automation Platform (EAP): Automated News & Alert Publishing - Led end-to-end integration of OpenAI and Google AI into the core publishing pipeline, reducing content generation failures by 90% across 10+ market sectors. - Recognized with the Shine Award for introducing the first-ever AI/LLM integration into the core SDK—directly improving operational efficiency across newsroom automation workflows. - Implemented an optimized polling system for data analysis, reducing processing latency to milliseconds and increasing system efficiency by 70%. - Achieved seamless scalability by expanding the application across 10+ sectors (finance, energy, commodities) and automating workflows for diverse markets. XBRL: Tokyo Stock Exchange Financial Data Feed Processor - Built from scratch a TSE financial data feed processor in C#/.NET + EF Core, supporting Japanese and English data with full parsing, DB persistence, and error handling. (Tech: .NET, C#, Microsoft SQL Server, React.js, Entity Framework, Python, Machine Learning, AI, LLM, Microservices, DevOps, AWS, ECS)
FIS
Feb 20221 yr 1 moFeb 2023

Pune District

WORLDPAY: Global Payments Processing Platform - Contributed to the development of critical features including a Single Point of Failure (SPOF) component, which significantly improved product efficiency by 40%. - Resolved high-priority Checkmarx vulnerabilities, ensuring compliance with strict security standards. - As part of hybrid team got introduced to cloud technologies. (Docker, Kubernetes, GKOP, Ansible, AWS, Sysdig) (Tech: .NET, C#, Microservices, DevOps, MSSQL, Checkmarx, Jenkins)

Hrushikesh’s AI Stack

hedra
hedra
lovable
lovable
mistral
mistral
notion
notion

Education

Savitribai Phule Pune University

Bachelor's degree, Computer Engineering

Savitribai Phule Pune University

20184 yrs2022

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Headline

Product Developer @ Epicor | Ex-Reuters | 4 Years+ in End-to-End Product Delivery | GenAI · Agentic AI · Distributed Systems

About

I'm a dynamic software engineer with 4+ years of experience building scalable web applications and AI-driven solutions. I love exploring new technologies and stay up-to-date with global trends. Experienced in .NET, React, Next.js, and cloud technologies, with a passion for solving complex problems, improving system performance, and delivering products that create real business impact.

Location

Bengaluru

AI stack

hedra

lovable

mistral

notion

Work experience

Product Developer at Epicor, Jul 2025 - Present · 1 yr, Bengaluru

Software Engineer at Thomson Reuters, Mar 2023 - Jul 2025 · 2 yrs 5 mos, Bengaluru, - Part of Reuters News and Media. - Helping journalists and editorials by providing news alerts and stories. Enhanced Automation Platform (EAP): Automated News & Alert Publishing - Led end-to-end integration of OpenAI and Google AI into the core publishing pipeline, reducing content generation failures by 90% across 10+ market sectors. - Recognized with the Shine Award for introducing the first-ever AI/LLM integration into the core SDK—directly improving operational efficiency across newsroom automation workflows. - Implemented an optimized polling system for data analysis, reducing processing latency to milliseconds and increasing system efficiency by 70%. - Achieved seamless scalability by expanding the application across 10+ sectors (finance, energy, commodities) and automating workflows for diverse markets. XBRL: Tokyo Stock Exchange Financial Data Feed Processor - Built from scratch a TSE financial data feed processor in C#/.NET + EF Core, supporting Japanese and English data with full parsing, DB persistence, and error handling. (Tech: .NET, C#, Microsoft SQL Server, React.js, Entity Framework, Python, Machine Learning, AI, LLM, Microservices, DevOps, AWS, ECS)

Software Engineer at FIS, Feb 2022 - Feb 2023 · 1 yr 1 mo, Pune District, WORLDPAY: Global Payments Processing Platform - Contributed to the development of critical features including a Single Point of Failure (SPOF) component, which significantly improved product efficiency by 40%. - Resolved high-priority Checkmarx vulnerabilities, ensuring compliance with strict security standards. - As part of hybrid team got introduced to cloud technologies. (Docker, Kubernetes, GKOP, Ansible, AWS, Sysdig) (Tech: .NET, C#, Microservices, DevOps, MSSQL, Checkmarx, Jenkins)

Education

Bachelor's degree, Computer Engineering, Savitribai Phule Pune University

Hrushikesh Kedar - Product Developer in Bengaluru | Tal