
AI Automation Engineer with less than a year in AI Automation & Data Analysis
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AI & Data Science undergraduate with experience in developing AI-enhanced chatbots, implementing AI call interview features, and building data scraping extensions. Proficient in Python, R, Java, JavaScript, and various AI/ML frameworks. Strong background in data analytics, big data, and cloud technologies, demonstrated through diverse academic and personal projects.
Robert Gordon University
BSc (Hons) · Artificial Intelligence And Data Science
August 1, 2023 – June 30, 2027
Ilma International Girls' School
A/L · Physical Science Stream
N/A – Present
Ilma International Girls' School
O/L
N/A – Present
Vezpr (Formally known as SixerTech)
AI Automation Engineer Intern
September 1, 2025 – Present
India
Analytics Microservice
January 1, 2026 – December 31, 2026
Built a native analytics microservice for VEZPR ATS using Python (FastAPI + Strawberry GraphQL), PostgreSQL materialized views, and Redis caching. Implemented end-to-end: JWT-authenticated GraphQL API, Airflow DAG for hourly data refresh, and a React dashboard with ApexCharts, CSV/PDF exports. Integrated seamlessly into the live platform with full multi-tenant data isolation.
AI Incident Triage & Resolution Assistant
January 1, 2026 – December 31, 2026
Designed and developed an end-to-end AI system for incident analysis using machine learning and LLM-based reasoning. Implemented log ingestion, severity classification, semantic retrieval of similar incidents, and context-aware action recommendations.
Smart Indoor Plant Care System (Ongoing)
January 1, 2026 – Present
Edge AI system that monitors indoor plant health using ESP32 sensors and Raspberry Pi edge computing. Combines sensor-based stress classification with CNN leaf disease detection to deliver real-time actionable plant care recommendations. Stack: Python, TensorFlow Lite, scikit-learn, MQTT, Flask, AWS
AI Call Interview
January 1, 2025 – January 1, 2026
An AI-driven voice interview system that automates candidate screening using speech-to-text and text-to-speech technologies with ElevenLabs API for multilingual support. Captures and structures candidate responses for recruiter review.
LinkedIn Post Generator
January 1, 2025 – December 31, 2025
An AI content generation tool that creates professional, platform-optimized LinkedIn posts using natural language generation based on user input topics. Uses MongoDB for DB and OpenAI models for image generation
Customer AI Support Chatbots
January 1, 2025 – December 31, 2025
An AI-powered chatbot system that handles customer inquiries autonomously using natural language processing to deliver contextually relevant responses and reduce support workload.
Sri Ayu: AI-Driven Ayurvedic Wellness Platform
January 1, 2025 – December 31, 2025
A machine learning-based wellness platform that provides personalized Ayurvedic health recommendations. Built using SARIMA, Random Forest, and KNN models trained on manually collected health datasets.
Churn Prediction with Logistic Regression using Streamlit
January 1, 2025 – December 31, 2025
A Streamlit-based web application that predicts customer churn using logistic regression, providing real-time probability predictions from user-input customer data.
Data Extract Tool - Chrome Extension
January 1, 2025 – December 31, 2025
A Chrome extension built with JavaScript that enables efficient data extraction from web pages.
Personalized News Recommendation System
January 1, 2024 – December 31, 2024
A news recommendation engine built with Python and SQLite that analyzes user reading patterns to deliver personalized content. Implements collaborative and content-based filtering algorithms to match users with relevant articles based on their interaction history and preferences.
SLAICC AI CHALLENGE - 2nd RUNNERS UP (Smart Shopping Agentic Assistant)
Unknown
June 1, 2026 – Present
IEEE Extreme 18.0 - TOP 100 IN SRI LANKA
Unknown
June 1, 2026 – Present
Haxpedition Mini Hackathon
Unknown
January 1, 2024 – Present
AI Driven BootCamp 2023
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's extensive list of academic projects, participation in hackathons, and involvement in university societies (IEEE, Environment Society) demonstrate a strong passion for AI and technology, a collaborative mindset, and a commitment to continuous learning. This aligns well with a culture that values innovation, problem-solving, and proactive engagement. The diversity of projects, from plant care systems to enterprise analytics, shows a broad interest in applying AI across different domains.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI concepts through numerous academic projects and an ongoing internship. Their involvement in hackathons and societies suggests a collaborative spirit and a drive for continuous improvement. The detailed project descriptions indicate good communication of technical work, though the overall experience level is still early career.