AI Engineer with 2+ years in Machine Learning & Deep Learning
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Assessing your cultural and operational fit
Aspiring Data Scientist and AI Engineer with hands-on experience in Python, Machine Learning, NLP, and Deep Learning. Skilled in building predictive models, automation systems, and AI-powered applications using Scikit-learn, TensorFlow, and Django. Seeking an entry-level role to apply analytical and problem-solving skills in real-world projects.
Sandip Institute Of Technology & Research Centre Nasik
B.E
August 1, 2021 – June 30, 2021
Maharashtra State Board of Technical Education (MSBTE)
DIPLOMA
August 1, 2017 – June 30, 2017
Nasik Divisional Board
SSC
June 1, 2013 – May 31, 2013
INFISUITE TECHNOLOGIES
Jr. AI Engineer
April 1, 2024 – Present
Secunderabad, Telangana, India
Websites Annotation
Internship
September 1, 2021 – November 30, 2021
India
Cab Service Customer Return Prediction
June 24, 2026 – Present
Cab Service Customer Retrieval Prediction uses historical ride data to forecast future cab requests, helping improve service efficiency and customer satisfaction.
TestStream AI
June 24, 2026 – Present
Developed an AI-powered automated testing platform with multi-agent workflows for intelligent test generation, execution, and project analysis. Built scalable frontend dashboards, integrated backend APIs, automated GitHub validation workflows, and managed Docker-based deployments.
Cultural Fit Analysis
The candidate's project experience, particularly 'TestStream AI', aligns well with an innovative and automation-focused culture. The breadth of skills listed (ML, DL, NLP, Automation, Cloud basics) suggests a willingness to explore different facets of AI engineering. The target role of 'AI Engineer' is a direct match for the candidate's stated aspirations and current junior role. The diversity of projects (customer prediction, test automation) indicates adaptability.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying AI/ML concepts in projects. The description of the 'TestStream AI' project suggests an ability to work on end-to-end solutions, including frontend, backend, and deployment. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication style beyond what's presented in the project descriptions.