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AI Engineer with 2+ years in Backend Development, Machine Learning & RAG 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
Python and AI Developer with hands-on experience in backend development, machine learning, and RAG-based AI systems. Skilled in building scalable APIs, training ML models, and integrating AI solutions into real-world applications. Actively seeking Python / AI Engineer roles.
Shri Vaishnav Vidyapeeth Vishwavidyalaya
Master of Computer Applications (MCA)
August 1, 2020 – June 30, 2023
DAVV
Bachelor of Computer Applications (BCA)
August 1, 2017 – June 30, 2020
Codespaze
AI Intern
October 1, 2024 – December 1, 2024
India
WebElevate
Python / AI Developer
January 1, 2024 – Present
India
Alcyone Technologies
Python Developer Trainee
June 1, 2023 – September 30, 2023
India
AI-Powered Content & Image Generation System
June 28, 2026 – Present
Built an AI system generating text and images based on user input using NLP techniques.
Supervised Machine Learning Classification Model
June 28, 2026 – Present
Implemented supervised ML algorithms for labeled datasets. Evaluated performance using accuracy score and confusion matrix.
Scikit-learn
GUVI
June 1, 2026 – Present
Prompt Engineering
Alison
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI-powered content generation system and a supervised ML model, shows initiative and a breadth of interest in AI applications. Their experience as an AI Intern and current role as a Python/AI Developer align well with an AI Engineer target role. The certifications in Prompt Engineering and Scikit-learn further demonstrate a proactive approach to skill development relevant to the AI domain. The experience with backend development frameworks (Django, Flask) and API design suggests a practical, integration-focused mindset which is beneficial for deploying AI solutions.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on practical application and integration of AI features into production systems, suggesting a results-oriented approach. The project descriptions are concise, indicating a direct communication style. However, without psychometric or English test results, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.