Full Stack Engineer with 2+ years in React, Python, and AI Application Development
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Full Stack Engineer with 2+ years of production experience building React frontends and Python backends at a Sri Lankan fintech company. Designed, built, and deployed AI-powered applications independently including a live multi-tenant SaaS platform with LLM tool-calling, RAG pipelines, and prompt-injection prevention, and a privacy-first self-hosted AI assistant serving 1,000+ employees. Comfortable working in asynchronous remote teams and driven by the intersection of clean engineering and practical AI integration.
University of Westminster, UK • Informatics Institute of Technology (IIT), Sri Lanka
BSc (Hons) Computer Science · AI & ML
August 1, 2024 – June 30, 2028
Royal College, Colombo 07, Sri Lanka
GCE Advance Level · Combined Mathematics Physics . ICT
N/A – May 31, 2022
Asia Asset Finance PLC
Associate Full-Stack Engineer - AI Integrated
February 1, 2026 – Present
Colombo, Western Province, Sri Lanka
Asia Asset Finance PLC
Junior UI/UX & Frontend Developer
March 1, 2024 – February 1, 2026
Colombo, Western Province, Sri Lanka
Privacy-First AI Assistant for Enterprise HRM Mobile Application
May 1, 2026 – June 30, 2026
Leading architecture and development of a self-hosted LLM AI assistant for an internal HRM mobile application targeting 1,000+ employees. Designed a RAG pipeline using Docling for document parsing, topic-based smart chunking, and BGE-M3 embeddings, with hybrid pgvector search (dense cosine + sparse) fused via Reciprocal Rank Fusion (RRF). Serving Qwen 2.5 7B via vLLM as a FastAPI microservice integrated into an existing PHP mobile backend. Implemented three-layer Redis caching (query embedding, retrieval, generation) to reduce repeated LLM workload under concurrent load.
Astrynox ERP – AI Powered Invoice Management System
March 1, 2026 – June 30, 2026
Designed and built a production multi-tenant SaaS ERP from scratch. 6+ core modules (Customers, Products, Invoices, Quotations, Reports, Dashboard, AI Assistant), 50+ FastAPI endpoints, 20+ Next.js pages. Integrated an AI financial assistant using OpenAI GPT-4o-mini with structured tool-calling, server-side SQL execution, organisation-scoped data access, and prompt-injection prevention. Built JWT auth with HttpOnly cookies, SHA-256 hashed refresh token rotation, and RBAC across four user roles with row-level tenant data isolation. Engineered PDF generation and SMTP email delivery for client-facing invoices and quotations sent directly from the platform. Wrote 200+ backend integration and API test cases (~80% coverage) validating auth, RBAC, and core financial workflows; automated via GitHub Actions CI on every push.
ArgusV - AI Powered Security Surveillance System
September 1, 2025 – March 1, 2026
Designed and implemented the live streaming pipeline using RTSP, MediaMTX, HLS.js, and FastAPI enabling browser-based surveillance playback without routing video through the application server. Built JWT-based RBAC authentication system supporting three user roles and protected endpoints across platform. Contributed to the AI detection flow combining YOLOv8 object detection, ByteTrack tracking, zone monitoring, and loitering analysis to generate structured security events (START, LOITERING, END).
Cultural Fit Analysis
The candidate's project diversity, ranging from enterprise ERP systems with AI financial assistants to privacy-first HRM AI assistants and AI-powered security surveillance, demonstrates a broad interest and capability across different domains. Their experience in a fintech company and academic projects aligns well with a target role requiring innovation and practical application of technology. The breadth of skills, including full-stack, AI/ML, DevOps, and design, indicates a versatile and adaptable individual who can contribute to various aspects of a project, fitting well into dynamic and fast-paced environments.
Soft Skills & Operational Fit
The candidate's resume highlights experience in asynchronous remote teams and a drive for practical AI integration, suggesting good adaptability and a results-oriented mindset. Their involvement in UX research, design reviews, and Agile/Scrum delivery cycles indicates strong collaboration and communication skills within a team environment. The ability to lead end-to-end UX design and frontend delivery, as well as define product architecture for AI integrations, points to strong leadership and ownership qualities.