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AI Engineer with 3+ years in automation, APIs, cloud platforms, and chatbot systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backend-focused engineer with 3+ years of experience in automation, APIs, cloud platforms, and chatbot systems. Strong foundation in Python, RESTful services, scalable backend design, and AI-driven workflows. Experienced in building, testing, and validating reliable systems with a focus on performance, accuracy, and minimal failure rates.
Savitribai Phule Pune University
MCA
August 1, 2014 – June 30, 2017
Banasthali Vidyapith
BCA
August 1, 2011 – June 30, 2014
Regenesys Business School
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India
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February 1, 2018 – October 1, 2018
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Selenium WebDriver with Java & Automation Frameworks
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June 1, 2026 – Present
ISTQB Certified Tester - Foundation Level
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Pro5.ai
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's experience is primarily in QA engineering roles, with a strong emphasis on automation and backend testing. While there's exposure to AI-driven workflows (Microsoft Bot Framework, LUIS), the core experience is not directly in AI model development, data science, or MLOps. This might indicate a gap in direct cultural fit for a pure AI Engineer role, though their automation and backend skills are transferable. The diversity of projects is limited to QA within different industries (business school, fintech, IoT).
Soft Skills & Operational Fit
The candidate's resume highlights a focus on performance, accuracy, and reliability, which are critical for operational excellence. Their experience in designing automation frameworks and validating cloud-hosted applications suggests a methodical and quality-driven approach. However, the resume does not provide explicit details on collaboration, problem-solving under pressure, or leadership, which are key soft skills for a senior role.