Sirine Jnayeh

Engineered a lead generation platform for e-Raccordement, implementing custom HubSpot CRM integrations for
automated lead scoring, configuring Google Analytics 4 event tracking for user behavior analysis, and optimizing
Google Ads campaigns through conversion API callbacks and audience segmentation — generating over 1M+
qualified leads, increased conversion rates across digital channels and drove +€100K in revenue.
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Led the migration of a monolithic Laravel codebase to a decoupled Next.js frontend and NestJS microservices
backend, restructuring the database layer with TypeORM and setting up CI/CD pipelines.
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Built AI-powered modules integrating Whisper API for real-time call transcription with speaker diarization,
developing an intelligent customer support chatbot leveraging LLM orchestration with context-aware prompt chaining,
intent classification and conversation memory management.

• Engineered a lead generation platform for e-Raccordement, implementing custom HubSpot CRM integrations for
automated lead scoring, configuring Google Analytics 4 event tracking for user behavior analysis, and optimizing
Google Ads campaigns through conversion API callbacks and audience segmentation — generating over 1M+
qualified leads, increased conversion rates across digital channels and drove +€100K in revenue.
• Led the migration of a monolithic Laravel codebase to a decoupled Next.js frontend and NestJS microservices
backend, restructuring the database layer with TypeORM and setting up CI/CD pipelines.
• Built AI-powered modules integrating Whisper API for real-time call transcription with speaker diarization,
developing an intelligent customer support chatbot leveraging LLM orchestration with context-aware prompt chaining,
intent classification and conversation memory management.
Skills: Next.js, NestJS, Whisper, OpenAI API, HubSpot, Docker, Google Analytics 4, Google Ads, AWS

• Built an enterprise Copilot for Peugeot powered by Gemini and BigQuery, implementing RAG architecture to enable
intelligent document search and contextual AI assistance, improving knowledge management efficiency across teams.
• Deployed enterprise-scale AI voice assistants (Whisper -> GPT → Eleven Labs over WebSockets) for Orange
Telecom, automating 60% of Tier-1 support calls and reducing average handling time by 40%, resulting in $12M+
annual cost savings.
• Developed scalable APIs and robust data drift detection monitoring for LLMs, tracking model behavior over time to
identify when input data patterns changed and maintaining consistent prediction quality.
• Designed and implemented agentic AI systems using LangChain, enabling autonomous decision-making workflows
and boosting end-to-end process efficiency by 20%.
Skills: Python, Node.js/TS, LangChain, WebSocket, SageMaker

● Led the design and the development of Unit Testing Framework for a prioritized set of functions for business Rules in NXDataHub, Successfully processing more than $14 trillion worth of assets per day, using the latest technology of AWS (EC2, ECR, RDS, S3, Route 53), Java, Junit4 and Mockito.
● Reviewed and provided feedback on +20 pull requests ensuring code quality to project standards.
● CI/CD pipeline integration, load/stress testing, integration/e2e testing.
Skills: Java, Spring, Junit4, Mockito, Docker, Jenkins, Kubernetes, AWS

• Led the design and the development of Unit Testing Framework for a prioritized set of functions for business rules in
NXDataHub, successfully processing more than $14 trillion worth of assets per day, using the latest technology of
AWS (EC2, ECR, RDS, S3, Route 53), Java, Junit4 and Mockito.
• Reviewed and provided feedback on +20 pull requests ensuring code quality to project standards.
• CI/CD pipeline integration, load/stress testing, integration/e2e testing.
Skills: Java, Spring, Junit4, Mockito, Docker, Jenkins, Kubernetes, AWS, ERP Integration, Presales Support

StudyBuddy - AIPowered Study Platform
● Built a collaborative learning platform that allows real-time study sessions, chat messaging via Django
Channels/WebSockets, and AI-powered content generation for students.
● Integrated Llama 3.1 for automated study material summarization, intelligent note generation and adaptive quiz
creation, reducing content preparation time by 40%.
● Implemented secure authentication and PostgreSQL database with API endpoints achieving 200ms response times.
Skills: Python, Django REST Framework, PostgreSQL, Ollama, Django, React, Vite, WebSockets
BlinkPost - Social Media Application
● Crafted appealing layouts and reusable component library using modern design principles, implementing responsive
UI patterns with Tailwind CSS and Shadcn components.
● Deployed the full-stack application to Vercel with automatic preview environments, integrating webhooks for real-time
updates and UploadThing for file uploads.
Skills: Next.js, Node.js, TypeScript, TailwindCSS, MongoDB, UploadThing, Shadcn, Webhooks, Vercel
Alpha Code - AIPowered Code Editor
● Currently developing an AI-powered code editor built with Next.js and LangChain agents, offering real-time
code generation, refactoring and debugging assistance while autonomously handling complex tasks such as
environment setup and deployment automation.
● Enabled one-click deployments by containerizing user projects with Docker and linking to container registries
Docker Hub) for deployment.
Skills: Next.js, Python, Docker, OpenAI API, LangChain, GitHub Container Registry, CI/CD Automation
LiveLine - Real-Time Chat Application
● Developed an open-source real-time chat application with WebSocket-based messaging, supporting concurrent
user sessions with instant message delivery and persistent chat history.
● Created a CI/CD pipeline using GitHub Actions that automatically builds, tests, and deploys the application to
AWS, which accelerates release cycles through continuous delivery and infrastructure automation.
Skills: Python, Django, MySQL, WebSockets, ReactJS, GitHub Actions, AWS

• Built a real-time product search feature using React with hooks and debouncing, integrated with FastAPI REST
endpoints that reduced average search latency by 30%.
• Containerized the Python backend and React frontend using Docker, and deployed them on AWS ECS (Fargate)
through a GitHub Actions CI/CD pipeline to support frequent deployments with minimal infrastructure management.
• Implemented thorough testing using Pytest and Postman for API validation achieved 95% code coverage and
integrated SonarQube for static analysis and code quality enforcement in CI pipelines.
• Managed development workflows with JIRA, followed GitFlow branching strategy, and monitored production health
metrics (response time, error rates) using AWS CloudWatch and custom dashboards.

• Contributed to the development of a comprehensive internal CRM web application at BTS Bank that streamlined
operational workflows and improved customer service.
• Designed and implemented a complaint management module using Python (FastAPI) and PostgreSQL that tracks and
automatically routes reports through RESTful APIs for frontend integration.
• Collaborated with IT and business stakeholders to gather requirements, define API contracts, and deliver
production-ready features through agile sprints and continuous feedback loops.
• Optimized backend performance by refactoring database queries with SQLAlchemy ORM, implementing connection
pooling, and adding Redis caching, which reduced average API response time by 45%.

● Refactored a monolithic foreign exchange system into microservices using Spring Boot, with dedicated databases and
GraphQL APIs to improve scalability and reduce latency.
● Developed GraphQL schemas and resolvers for efficient, precise data fetching across complex entity relationships
using JPA entity graphs.
● Containerized services with Docker and deployed on cloud platforms (AWS ECS/Kubernetes) with automated CI/CD
to ensure smooth releases.
Skills: UML, Java, Spring Boot, Hibernate, PostgresSQL

• Refactored a monolithic foreign exchange system into microservices using Spring Boot, with dedicated databases and
GraphQL APIs to improve scalability and reduce latency.
• Developed GraphQL schemas and resolvers for efficient, precise data fetching across complex entity relationships
using JPA entity graphs.
• Containerized services with Docker and deployed on cloud platforms (AWS ECS/Kubernetes) with automated CI/CD
to ensure smooth releases.