Description

Je conçois des systèmes RAG — des pipelines IA qui permettent à vos équipes de rechercher et interroger vos documents internes en langage naturel. Recherche vectorielle, graphes de connaissances, intégration de LLM, déployés sur AWS.

Actuellement chez Ericsson R&D, je développe un système Graph RAG en production sur plus de 36 000 entités. Stack : Python, LangChain, Neo4j, AWS (Bedrock, Neptune, Lambda), Docker.

Disponible depuis Paris pour des missions en IA, en remote ou hybride.

Languages

English
Fluent
French
Basic
Telugu
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Ericsson R&D
AI Engineer Intern
TELECOMMUNICATIONS
March 2026 - Today (3 months)
91300 Massy, France
• • Built domain-specific Graph RAG systems for 3GPP telecom documents, combining vector embeddings with
knowledge graphs (Neo4j, AWS Neptune) to enable structured retrieval over 36K+ entities and relations.
• • Designed schema-guided extraction and structure-aware chunking strategies for LLM-based pipelines, improving entity precision and reducing noisy relations in large-scale document intelligence workflows.
• • Evaluated multiple retrieval strategies (vector, graph, hybrid) across knowledge graph configurations, benchmarking retrieval quality and factual accuracy using automated evaluation frameworks.
• • Optimized end-to-end pipeline infrastructure on AWS (S3, Lambda, Step Functions, EC2, ECR, IAM, Bedrock, Neptune), reducing LLM inference latency from 214s to 97s and cost by approximately 80%.
Retrieval-Augmented Generation (RAG) Knowledge graph Claude Code Prompt engineering Cloud AWS
Infosys
Systems Engineer
CONSULTING AND AUDITS
November 2022 - January 2025 (2 years and 2 months)
Hyderabad, Telangana, India
• • Customized Finacle-based core banking solutions for enterprise clients, configuring business logic, transaction
workflows, and product definitions using Finacle scripting and the ABCD customization tool.
• • Built and maintained data processing pipelines using SQL and Python, improving data extraction and transformation
efficiency by approximately 30% for downstream reporting and analytics.
• • Worked across Linux-based development environments with Git for version control, supporting deployment workflows and environment configuration for banking application releases.
Programmation Python MySQL Git Linux Customization

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Master of Science
EPITA School of Engineering
2026
Master of Science
Bachelor of Technology
Jawaharlal Nehru Technological University (JNTU)
2022
Bachelor of Technology

Shivananda Golle

RAG Engineer

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