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AI Engineer with less than a year in Machine Learning & Full-Stack Development
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Machine learning and full-stack developer with experience across AI, data analytics, and web systems. Skilled in Python, TensorFlow, Scikit-Learn, Pandas, NumPy, NLTK, PHP, MySQL, and Power BI. Published in IEEE Xplore and recognised by KSCST for transformer-based NLP models. Experienced in predictive modelling, dashboard development, and building data-driven applications across research and analytics domains.
University of Liverpool
MSc · Advanced Computer Science
September 1, 2025 – Present
Global Academy of Technology
B.E. · Computer Science Engineering
December 1, 2020 – July 1, 2024
Government Sector Organisation
AI & Software Development Intern
September 1, 2023 – October 1, 2023
India
Deloitte Australia Data Analytics Job Simulation
June 17, 2026 – June 17, 2026
Completed a Deloitte job simulation involving data analysis and forensic technology. Created a data dashboard using Tableau. Used Excel to classify data and draw business conclusions.
Fashion-tech analytics and trend forecasting
July 1, 2024 – June 1, 2026
Fashion-tech analytics and trend forecasting
Lightweight NLP models and domain-specific transformers
July 1, 2024 – June 1, 2026
Lightweight NLP models and domain-specific transformers
AI applications for behaviour, health, and data-driven decision-making
July 1, 2024 – June 1, 2026
Designed AI applications for behaviour, health, and data-driven decision-making, including prototypes for early-risk assessment and pattern detection.
Fake-News Classifier
December 1, 2020 – July 1, 2024
Created fake-news classifier using logistic regression, achieving ~85% accuracy on validation data.
Internet-Addiction Scoring Model
December 1, 2020 – July 1, 2024
Designed internet-addiction scoring model using questionnaire and usage data from 100+ samples.
Fashion-tech Dashboards
December 1, 2020 – July 1, 2024
Constructed fashion-tech dashboards analysing colour, trend, and style patterns across 12+ seasons of data.
Exploratory Data Analysis
December 1, 2020 – July 1, 2024
Conducted exploratory data analysis using Pandas, Seaborn, and Matplotlib to identify trends, anomalies, and correlations.
PHP MySQL Platforms Development
December 1, 2020 – July 1, 2024
Developed 5+ PHP MySQL platforms, including an e-commerce logistics system managing 500+ orders, 200+ users, and multi-level inventory workflows.
Python-based ETL Workflows
December 1, 2020 – July 1, 2024
Built Python-based ETL workflows to clean and prepare datasets of 5,000+ rows for ML and analytics tasks.
Stroke Prediction using CNN and ANN models
December 1, 2020 – July 1, 2024
Trained and evaluated CNN and ANN models for stroke prediction; results published in IEEE Xplore.
Transformer-based Tiny Language Models
December 1, 2020 – July 1, 2024
Produced transformer-based tiny language models for domain-specific text under low-resource constraints.
Deloitte Australia Data Analytics Job Simulation
Forage
June 17, 2026 – Present
Published deep-learning research paper
IEEE Xplore
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background and project portfolio show a strong interest in AI applications for behavior, health, and data-driven decision-making, which aligns well with an AI Engineer role. Their involvement in a Deloitte job simulation and being selected for Outlier.ai's evaluator pool indicates a proactive approach to professional development and a desire to apply skills in real-world scenarios. The breadth of projects, from web development to deep learning, suggests a versatile and curious individual.
Soft Skills & Operational Fit
The candidate demonstrates analytical problem-solving abilities and experience in both individual and team-based environments. Their internship involved streamlining workflows and automating repetitive tasks, indicating an operational mindset. The project diversity suggests adaptability and a willingness to explore different domains within AI and data.