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AI ML Engineer with 1+ years in NLP, Computer Vision & ML Pipelines
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Assessing your cultural and operational fit
Monash University Master of AI graduate with hands-on experience deploying NLP, computer vision, and predictive ML models in production environments. Proven ability to build end-to-end ML pipelines from data ingestion and ETL to model training, evaluation, and integration. Contributed to RLHF-based model improvement at scale and delivered AI-driven automation in real engineering and cloud operations contexts. Actively seeking an entry-level AI/ML Engineer role to build reliable, scalable intelligent systems.
Monash University
Master of Artificial Intelligence · Artificial Intelligence
N/A – June 30, 2024
Manipal Academy of Higher Education
Bachelor of Engineering · Computer Science
N/A – June 30, 2019
CREDO
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March 1, 2021 – July 1, 2022
United Arab Emirates
Pneumonia Detection with CNN
June 10, 2026 – Present
• Processed a dataset of 26,000+ chest X-ray images (augmentation, normalisation, class balancing) and trained a CNN classifier achieving ~85% accuracy, outperforming a baseline logistic regression model by 18 percentage points.
EcoRoute Sustainability Recommendation App
June 10, 2026 – Present
• Designed and deployed an AI recommendation engine that analyses user behaviour and returns personalised sustainability actions, with a full-stack architecture spanning Python backend, SQLite persistence, and a JavaScript frontend.
Fuzzy Logic Student Evaluation System
June 10, 2026 – Present
• Implemented a fuzzy inference system to score student performance across multiple dimensions, replacing binary grade thresholds with nuanced, interpretable outcomes.
AI Agents and Agentic AI in Python
Vanderbilt University (Coursera)
June 1, 2026 – Present
Post Graduate Diploma in Artificial Intelligence and Machine Learning
Great Learning
June 1, 2026 – Present
Cloud Computing Applications
University of Illinois Urbana-Champaign (Coursera)
June 1, 2026 – Present
HashiCorp Certified: Vault Associate 003
Udemy
June 1, 2026 – Present
Data Governance Masterclass + ISO 27001 Data Classification
Udemy
June 1, 2026 – Present
Privacy and Data Protection: GDPR Compliance
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse AI applications (CNN for image classification, recommendation engines, fuzzy logic), showing a broad interest in the field. Professional experience includes roles in data intelligence, AI training, and AI engineering, aligning well with an AI/ML Engineer target role. The breadth of skills, including programming languages, ML frameworks, cloud platforms, and data governance, suggests adaptability and a willingness to learn new technologies. The international education and work experience also indicate a potential for cultural adaptability.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate an ability to work on diverse tasks, from data processing and model training to system integration and operational monitoring. The experience with data governance and security frameworks (ISO 27001, GDPR, HashiCorp Vault) suggests an understanding of responsible AI deployment and operational best practices. The descriptions are clear and quantify impact where possible, indicating good communication skills.