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AI Engineer with 3+ years in Machine Learning & Fraud Detection
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Investigation Associate at Amazon with experience in fraud detection, risk analysis, and high-judgment decision-making. Strong technical background with hands-on experience in machine learning, computer vision, and full-stack development. Passionate about building scalable systems and impactful user-focused solutions.
Aditya College of Engineering & Technology
Master of Computer Applications (MCA) · Computer Science
August 1, 2019 – June 30, 2022
Pondicherry University
Bachelor of Computer Science · Computer Science
August 1, 2016 – June 30, 2019
Amazon
Investigation Associate
August 1, 2024 – Present
Hyderābād, Telangana, India
Chegg India
Subject Matter Expert(Freelancer) (CS/Stats/OM)
April 1, 2023 – June 1, 2024
Delhi, Delhi, India
Lorang Technologies Pvt. Ltd.
Frontend Developer Intern
September 1, 2022 – February 1, 2023
Hyderābād, Telangana, India
Angular-Node Authentication System
June 1, 2026 – Present
Built a secure login/register system using Angular (frontend) and Node.js/Express (backend). Implemented JWT authentication, role-based access, and form validation.
Machine Learning Algorithms Collection
June 1, 2026 – Present
Implemented popular ML algorithms from scratch and using Scikit-Learn for learning and experimentation. Documented workflows for feature engineering, evaluation, and visualization.
No-Code ML Pipeline Builder
June 1, 2026 – Present
Designed a tool allowing users to build ML pipelines (preprocessing → training → evaluation) without writing code. Enabled model comparison and auto-generated reports for user convenience.
Android Malware Detection
June 1, 2026 – Present
Developed a machine-learning model to classify Android APKs as malicious or benign using static feature extraction. Trained ensemble models (RF, XGBoost, SVM) and optimized the pipeline for high accuracy.
Poisonous Animal Detection
June 1, 2026 – Present
Built a deep-learning classifier using CNNs to detect poisonous vs. non-poisonous animals. Applied data augmentation and achieved robust performance on custom datasets.
AWS Cloud Practitioner Essentials
AWS
June 1, 2026 – Present
Artificial Intelligence Virtual Experience Program
Unknown
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Google IT Automation with Python
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML through multiple personal projects and certifications. The diverse project portfolio, ranging from malware detection to full-stack development, indicates a proactive learning attitude and adaptability. While the recent professional experience is not directly in AI engineering, the candidate's self-driven projects and academic background align well with a growth-oriented, technically curious culture. The freelance SME role also suggests an ability to work independently and deliver quality outcomes.
Soft Skills & Operational Fit
The candidate's experience as an Investigation Associate at Amazon suggests strong analytical skills, high-judgment decision-making, and the ability to work with SOPs and maintain accuracy. The Subject Matter Expert role indicates good communication and problem-solving abilities. These traits are valuable for an AI Engineer role, particularly in debugging models, interpreting results, and collaborating with cross-functional teams.