Professional Overview
I’m an Information Science student focused on AI/ML and software engineering, with hands-on experience building production-oriented AI systems, backend services, and full-stack applications. I work primarily with Python, PyTorch, Scikit-learn, FastAPI, Hugging Face, Docker and SQL. My projects include FEDrA, a multimodal phishing and ransomware detection system, and an OpenEnv-based AI code review environment with deterministic agent evaluation. I’m also an Open-Source AI Fellow contributing to WorkPilot, where I work on React/TypeScript architecture and backend API integration. I enjoy learning new technologies, and turning ideas into reliable, practical systems.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Migrated a legacy frontend to React, Vite and TypeScript
- Integrated authentication and backend APIs across product workflows
- Contributed to testing, debugging and production-oriented development
- Improved frontend architecture with scalable and maintainable abstraction
Key Achievements / KPIs
- Built interfaces for campaigns, publishing, inbox and analytics
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Migrated a legacy frontend to React, Vite and TypeScript
- Integrated authentication and backend APIs across product workflows
- Contributed to testing, debugging and production-oriented development
- Improved frontend architecture with scalable and maintainable abstraction
Key Achievements / KPIs
- Built interfaces for campaigns, publishing, inbox and analytics
Education
Field of Study: AI/ML, Software Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
