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Machine Learning | Deep Learning | Python
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Assessing your cultural and operational fit
Python Developer & Machine Learning Engineer with 2 years of experience building scalable backend systems and AI-driven applications. Skilled in Django, PostgreSQL, REST APIs, and cloud deployments using AWS, Docker, and Kubernetes. Developed and deployed ML models for document verification, face recognition, OCR, image classification, and RAG-based information extraction. Strong foundation in Python, deep learning (TensorFlow, PyTorch), and computer vision, with hands-on experience in delivering end-to-end solutions for real-world problems.
Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
graduate , Computer Science
January 1, 2017 – January 1, 2021
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Cultural Fit Analysis
The candidate's project diversity, ranging from backend development with Django to various AI/ML applications (OCR, image classification, RAG, chatbots, object detection), demonstrates adaptability and a broad interest in different technical domains. The roles align well with an ML Engineer target, showing a consistent career path in AI/ML. The breadth of skills, including both traditional backend and advanced ML/DL techniques, suggests a candidate who can contribute to diverse projects and adapt to new challenges, indicating a reasonable cultural fit for an innovative environment.
Soft Skills & Operational Fit
The candidate's resume indicates experience in collaborative environments and adherence to Agile methodologies, suggesting a good operational fit. The descriptions highlight problem-solving and optimization efforts. However, without specific psychometric test results, a detailed assessment of soft skills like logical reasoning, stress handling, and team collaboration is not possible.