AI Engineer with 3+ years in SQL, Python & Cloud Data Extraction
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Assessing your cultural and operational fit
Data analyst with over 3 years of experience in SQL and cloud-based data extraction. Certified AWS AI practitioner with expertise in dataset preparation for generative AI applications, including vector embeddings and Python data orchestration. Demonstrated ability to transform complex SQL database tables into streamlined data pipelines for machine learning insights.
SNDT University
Bachelor of Information Technology · Information Technology
N/A – June 30, 2021
Hyderabad University, K.C College
Master of Science · Artificial Intelligence
N/A – June 30, 2023
Datavail
SQL Database Administrator
May 1, 2023 – May 1, 2026
Mumbai, Maharashtra, India
Chatbot Development Project
June 23, 2026 – Present
Designed and implemented a conversational AI chatbot using Python and NLP techniques. Integrated with a simple HTML interface for user interaction. Focused on improving dialogue management and user response accuracy.
Hand Gesture Controlled Mouse using AI
June 23, 2026 – Present
Built an AI-based system to control a computer mouse using real-time hand gestures via webcam. Utilized Python, OpenCV, and neural networks for gesture recognition and system control. Project focused on human-computer interaction and computer vision.
AWS Certified AI Practitioner
AWS
June 1, 2026 – Present
AI Practitioner
Amazon AWS
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show initiative in AI/ML, aligning with an AI Engineer role. However, the primary professional experience as a SQL Database Administrator is not directly in AI engineering, which might indicate a career transition. The listed 'Areas of Interest' are broad, including AI, Blockchain, Cryptography, and Database Management, suggesting a diverse curiosity but also potentially a lack of focused specialization. The certifications in AWS AI Practitioner are a positive indicator for cloud-native AI development.
Soft Skills & Operational Fit
The candidate's resume indicates a structured approach to database administration, suggesting attention to detail and operational reliability. Project descriptions imply problem-solving and application development skills. However, direct evidence of collaboration, stress handling, or specific communication styles is not available from the provided data.