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AI Engineer with 1+ years in Python, Machine Learning & Cloud
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Junior AI/ML Engineer with 1.5 years of experience in developing and deploying AI-powered solutions. Proficient in Python, Machine Learning, Deep Learning frameworks (TensorFlow, PyTorch), and cloud platforms like AWS. Demonstrated ability to build chatbots, cybersecurity applications, recommendation systems, and image generation models. Adept at full-stack development with FastAPI and Vue.js, passionate about leveraging AI for innovative problem-solving.
Pearson College London
HND · Computing
August 1, 2022 – June 30, 2023
Good Shepherd Convent
G.C.E. A/L · Bioscience Stream
June 1, 2019 – May 31, 2021
University of Staffordshire
BSc (Hons) · Computer Science
N/A – June 30, 2024
Good Shepherd Convent
G.C.E. O/L
N/A – May 31, 2018
FAITE
AI/ML Engineer
July 1, 2025 – Present
Colombo, Western Province, Sri Lanka
FAITE
AI/ML Engineer | Intern
January 1, 2025 – July 1, 2025
Colombo, Western Province, Sri Lanka
AI-Powered Green Tea Guider
June 24, 2026 – Present
Collected and curated a custom image dataset of Sri Lankan green tea varieties through field visits to tea factories. Preprocessed and labeled image data to create a machine learning training dataset. Trained and evaluated an MS ResNet-50 image classification model using PyTorch to identify different green tea types. Developed an AI-powered Android application that enables users to recognize green tea varieties through image recognition, access detailed tea information, and receive scheduled consumption reminders. Integrated the trained machine learning model into a mobile application developed with Kotlin and Android Studio.
Machine Learning Crash Course: Linear Regression
Google Developer Program
August 1, 2025 – Present
AWS APAC Solutions
AWS
August 1, 2025 – Present
AWS APAC Solutions Architecture Virtual Experience Program
Forage
August 1, 2025 – Present
Ethical Hacking (CEH v11)
MARSTECH
November 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic research to practical industry applications in various sectors (cybersecurity, e-commerce, social platforms), indicates a broad interest and adaptability, which aligns well with dynamic AI engineering roles. The continuous learning demonstrated through certifications (AWS, Google ML Crash Course) suggests a growth mindset. The target role of 'AI Engineer' is a strong match for the candidate's experience and skill set, particularly their focus on building and deploying AI/ML models.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and application, as evidenced by their diverse project portfolio and certifications. The experience in developing solutions for various domains (cybersecurity, e-commerce, education, matchmaking) suggests adaptability and problem-solving skills. The academic project involving field visits and data curation also points to a hands-on, end-to-end project ownership mindset. While direct evidence of teamwork or stress handling is not explicitly detailed, the breadth of projects implies an ability to manage multiple technical challenges.