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jagdish reddy

@jagdishreddy

Software Development Engineer at Nokia building Agentic AI platforms that identify €3M+ in quarterly inventory value.

India
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At Nokia, I lead engineering for AIVA and Factory Test & Troubleshoot, and developed Factory LLM, a multimodal RAG platform. Together, the production platforms identify €3M+ in inventory value per quarter, reduce fixture troubleshooting time by 40%, and lower AI operating costs by 20%.

I built AIVA’s prioritization and reporting engine to surface inventory risk and automate export-compliance checks across supply-chain records. For Factory Test & Troubleshoot, I implemented hybrid BM25 and FAISS retrieval with streamed, citation-backed responses.

Earlier at Nokia, I built manufacturing web applications and digital workflows that reduced downtime by 30%, and integrated IoT devices with factory systems using MQTT. I also developed Java web modules at SAIL for patient registration, scheduling, and health records.

Experience

Work history, roles, and key accomplishments

Nokia logoNO

Graduate Apprentice Trainee

May 2023 - May 2024 (1 year)

Built full-stack MERN applications for factory operations, including Visitor Management System and digital Work Permit system. Integrated IoT devices using MQTT for real-time data exchange.

SA

Software Developer Intern

SAIL

Dec 2020 - Jan 2021 (1 month)

Developed Java web modules for patient registration, scheduling, and health records management. Integrated JDBC and SQL stored procedures for billing and insurance claim processing.

Education

Degrees, certifications, and relevant coursework

SE

Savitha School of Engineering

Bachelor of Engineering, Computer Science and Engineering

2018 - 2022

Grade: 7.2 CGPA

Pursued a Bachelor of Engineering in Computer Science and Engineering, achieving a CGPA of 7.2.

SV

Shri Vishwasnathi

Higher Secondary, Higher Secondary Education

Grade: 80%

Completed higher secondary education with 80% marks.

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