SLIIT | Malabe 2022 - 2026

BSc (Hons) in Information Technology Specializing in Data Science

NextGenDev 2026 - Present

AI Automation Engineer

Building a self-hosted N8N automation platform and data pipeline for a client (Vegavision) that classifies incoming support emails by client, module, and severity using AI, logs tickets to Monday.com, and sends automated acknowledgement replies. Contributing to PeoplePulse, a multi-tenant HR AI assistant platform, working on the AI layer, building conversational chatbots, voice agents, and RAG-based knowledge retrieval to answer employee HR queries and automate routine support. Developed BodyScan, an edge-AI face detection app (Android/CameraX and Google ML Kit) with on-device capture and crop, and led model deployment and monitoring for a backend identification pipeline achieving 94% match confidence, minimizing bandwidth and storage compared to continuous video upload. Mentoring a junior sysadmin using a demo first, rebuild independently approach across a structured phased project plan. Technologies: Python, N8N, FastAPI, Google ML Kit, Android/CameraX, PostgreSQL, Docker, Proxmox, Monday.com API

Airentosoft 2025 - 2026

AI Engineer

Architected LLM-based agentic workflows integrated into enterprise SaaS platforms, automating multi-step customer engagement pipelines using OpenAI and Llama models. Built and deployed scalable REST APIs and microservices with FastAPI and Redis caching, achieving sub-200ms response times under concurrent load, and containerised services with Docker on AWS for 99.9% uptime. Set up CI/CD pipelines (GitHub Actions) for automated testing and deployment of containerised services, reducing manual release effort. Designed and deployed a car rental voice agent and conversational chatbot using LangChain + OpenAI API over WebSockets, streamlining booking flows and reducing support queries. Built a PyTorch-based intelligent web scraper for domain-specific data extraction and classification, cutting data-prep time by ~60%. Developed a cross-platform productivity mobile app (React Native/Expo) with AI-powered task automation and LLM-driven assistance, shipped to production on AWS. Technologies: Python, FastAPI, PyTorch, LangChain, React Native (Expo), OpenAI API, Llama Models, Redis, Docker, AWS, CI/CD (GitHub Actions), WebSockets

Kosmos AI 2024 - 2025

AI Engineer

Designed and deployed AI-powered voice agents for real estate and healthcare clients handling inbound and outbound calls, driving strong call automation and reducing manual agent workload and costs. Engineered real-time speech-to-text and text-to-speech pipelines (Twilio + Vapi + GPT-4) delivering sub-500ms conversational latency at scale. Automated lead qualification, appointment booking, and follow-up workflows via CRM API integration, eliminating manual touchpoints across the sales and patient-intake funnel. Technologies: Python, LangChain, WebSockets, Twilio, Vapi, OpenAI API, FastAPI