MSc Computer Science student specializing in Artificial Intelligence & Machine Learning.
Building production-style backend systems, analytics platforms, AI workflows, and data-driven business solutions.
I am an AI, backend systems, and data analytics professional with experience across GenAI evaluation, backend engineering, business intelligence, operational analytics, process improvement, and digital operations.
My recent experience includes working as a Gen AI Annotator on a Meta vendor project through Covalen, where I evaluated AI-generated and user-facing content against detailed quality, safety, and policy guidelines. This strengthened my practical understanding of:
- human-in-the-loop AI evaluation
- LLM output quality assessment
- structured feedback systems
- decision consistency
- policy-aware review workflows
- Trust & Safety operations
- content quality signals
- user intent interpretation
Alongside this, I am pursuing an MSc in Computer Science focused on Artificial Intelligence & Machine Learning while building practical engineering projects across:
- event-driven backend systems
- distributed architectures
- product analytics platforms
- business intelligence workflows
- SQL and relational analytics
- observability and monitoring
- AI-assisted workflows
- automation and process optimization
My portfolio combines backend engineering, AI systems, analytics, and operational thinking with a strong focus on practical architecture, scalability, maintainability, and business value.
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Backend & Distributed Systems: Java, Spring Boot, Kafka, PostgreSQL, Docker, observability, and event-driven architectures
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AI & GenAI Evaluation: LLM quality assessment, structured evaluation workflows, prompt engineering, and AI-assisted systems
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Data Analytics & Business Intelligence: SQL, Python, Power BI, KPI reporting, dashboards, and data quality workflows
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Product Analytics: funnels, retention, segmentation, behavioural insights, and metric-driven product thinking
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Trust & Safety Analytics: content quality signals, classification consistency, policy-risk concepts, and moderation workflows
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Repository Engineering: clean architecture, reproducible infrastructure, integration testing, and recruiter-friendly technical documentation
| Area | Focus |
|---|---|
| Backend Engineering | Event-driven systems, REST APIs, Kafka workflows, observability, Docker, clean architecture |
| AI & GenAI Evaluation | LLM output assessment, human-in-the-loop review, prompt engineering, AI-assisted workflows |
| Product Analytics | User behaviour, funnels, retention, segmentation, KPI frameworks, product metrics |
| Data Analytics & BI | SQL, Python, Power BI, reporting, KPI tracking, dashboards, data quality |
| Trust & Safety | Content quality, moderation workflows, policy-risk awareness, classification consistency |
| Business Analysis | Process mapping, workflow improvement, stakeholder communication, operational analysis |
| Operations & Delivery | Incident handling, service operations, escalation workflows, reporting, coordination |
| Project | Description |
|---|---|
| PulseStream | Event-driven backend analytics platform built with Java 21, Spring Boot, Kafka, PostgreSQL, Testcontainers, Docker, and Clean Architecture principles |
| SentinelFlow | Business observability and monitoring engine focused on asynchronous workflows, alerting pipelines, validation systems, and operational visibility |
| ProductPulse | AI-powered business product analytics decision engine focused on KPI intelligence, churn analysis, segmentation, and recommendation logic |
| SQL Relational Analysis | Advanced SQL analytics repository using PostgreSQL, relational modeling, business metrics, validation pipelines, and analytical reporting |
| Role | Focus |
|---|---|
| Gen AI Annotator — Covalen (Client: Meta) | GenAI evaluation, AI-generated content review, structured quality assessment, user intent analysis, policy-aware workflows |
| Duty Manager — Powerscourt Springs Health Farm | Operations leadership, process improvement, incident handling, workflow optimization, customer operations |
| Duty Manager / Night Supervisor — Wilton Hotel Bray | Operational continuity, reporting, escalation management, audits, onboarding, service quality |
| Junior Database & Python Specialist | SQL, Python automation, relational databases, data validation, reporting, analytics workflows |
- Google Advanced Data Analytics Professional Certificate
- Google Data Analytics Professional Certificate
- IBM Data Science Professional Certificate
- Microsoft Power BI Data Analyst
- Microsoft SQL Server Certification
- Google AI Essentials
- Google Prompting Essentials
- AI Agent Developer
- Generative AI Leadership & Strategy
- Organizational Strategy with Generative AI & AI Agents
- Google Project Management Professional Certificate
- Oxford Saïd — Advanced Business Analytics with AI
- Oxford Saïd — Future Ready Leadership
- EF SET English Certificate (C1)
I am currently building repositories focused on:
- backend engineering and distributed systems
- event-driven architectures
- AI product analytics
- observability and operational intelligence
- business intelligence and KPI systems
- SQL-driven analytics
- GenAI evaluation workflows
- Trust & Safety analytics
- automation and workflow optimization
I am focused on opportunities across:
- Backend Engineering
- AI & Data Systems
- Product Analytics
- Business Intelligence
- GenAI Evaluation
- Trust & Safety Analytics
- Digital Business Analysis
My long-term goal is to combine backend engineering, AI systems, analytics, and operational thinking to help organizations build scalable, reliable, and intelligent digital platforms.