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AI Engineer with 1+ years in Machine Learning & Data Analytics
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Computer Science graduate with 1+ years of experience in Machine Learning, Artificial Intelligence, Deep Learning, and Data Analytics. Skilled in Python, TensorFlow, Scikit-learn, SQL, OpenCV, and ML algorithms. Experienced in AI-based applications, data preprocessing, model training, and predictive analytics. Currently ML Data Associate at Amazon with proven leadership, analytical, and cross-functional collaboration skills.
SRM VALLIAMMAI ENGINEERING COLLEGE
Bachelor of Engineering · Computer Science Engineering
October 1, 2020 – July 1, 2024
Everwin Matriculation Higher Secondary School
Class XII
June 1, 2019 – March 1, 2020
Everwin Matriculation Higher Secondary School
Class X
June 1, 2017 – March 1, 2018
Amazon
ML Data Associate | AI/ML Data Annotation Specialist (Immediate joining)
March 1, 2025 – Present
Chennai, Tamil Nadu, India
Stigmata Solutions LLP
Intern
March 1, 2022 – August 1, 2022
India
Sales Performance Analytics Dashboard
June 24, 2026 – Present
Developed an end-to-end sales analytics solution to analyze sales trends, customer behavior, and product performance. Utilized SQL for data extraction and transformation, Python for data cleaning and analysis, and Power BI to develop interactive dashboards for business insights.
Audio Alert System for Visually Impaired People
December 1, 2023 – March 1, 2024
Enhanced an audio alert system for visually impaired individuals achieving an accuracy rate of 95% in hazard detection and Utilized Python, NumPy, and TensorFlow to process audio data with an efficiency improvement of 80% compared to baseline methods with improving detection efficiency compared to baseline methods.
Sign Language Detection
June 1, 2023 – October 1, 2023
Spearheaded the implementation of a Python-based Deep Learning solution utilizing Convolutional Neural Network (CNN) architecture to detect sign language gestures in real-time, achieving a 70% accuracy Deep Learning solution with Convolutional Neural Network (CNN) architecture to accurately identify hand gestures in real-time
Data Science and Analytics
Nasscom
March 1, 2024 – Present
Salesforce Certified Administrator
Salesforce
February 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on practical applications of AI/ML, such as an audio alert system for visually impaired people and sign language detection, indicating a desire to apply technology for social good. Their experience at Amazon, a large tech company, suggests an ability to work in fast-paced, dynamic environments and collaborate across diverse teams. The breadth of skills, from ML algorithms to BI tools and QA, indicates a versatile individual. However, the experience level (1 year) and academic nature of most AI/ML projects suggest a need for further development in industry-specific AI engineering practices. The target role of AI Engineer requires a deeper dive into system design, scalability, and production deployment, which are not extensively covered in the current profile.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team development, and cross-functional collaboration skills from their Amazon role. They have experience in operational performance management, quality assurance, and process improvement, indicating a structured and results-oriented approach. Their ability to lead projects independently and manage ambiguity suggests good problem-solving and adaptability. The candidate's experience in building operational trackers and dashboards using various tools highlights their analytical and reporting capabilities, which are beneficial for monitoring AI system performance.