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AI Engineer with less than a year in Machine Learning & AI Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer and Full-Stack Developer with hands-on experience in Machine Learning, Computer Vision, AI Automation, REST API development, and workflow automation. Experienced in building AI-powered applications using Python, TensorFlow, OpenCV, FastAPI, PostgreSQL, Docker, and modern automation tools. Skilled in developing end-to-end ML pipelines, deploying AI models, integrating third-party APIs, and creating scalable software solutions. Strong foundation in machine learning, deep learning, model deployment, database systems, and software engineering principles.
Loyola Institute of Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Invendoi AI Solutions Pvt Ltd
AI Engineer Intern
February 1, 2026 – April 30, 2026
India
AI SEO Automation Agent
June 28, 2026 – Present
• Built an end-to-end AI automation system using n8n workflows, OpenAI API, PostgreSQL, and Supabase. • Designed automated content-generation pipelines integrating Google Analytics (GA4) and Google Search Console data. • Developed webhook-based workflows for content approval, publishing, and monitoring. • Integrated multiple APIs to automate SEO operations and reduce manual workload. • Implemented Telegram-based approval workflows for content review and publishing. • Deployed and maintained a self-hosted Docker environment for workflow execution and monitoring.
AI Face Recognition System
June 28, 2026 – Present
• Designed and deployed a real-time face recognition system for high-security environments, enabling automated identity verification with 95%+ accuracy – demonstrating full SDLC ownership from requirements analysis to production deployment. • Developed scalable REST APIs backed by a PostgreSQL relational database, applying strong knowledge of SQL schema design, query optimization, and data integrity principles. • Produced system architecture documentation including flowcharts, data flow diagrams, and API specs to ensure maintainability and clear handover. • Containerized the application using Docker, documenting deployment procedures, system standards, and configuration specifications for reproducible environments.
Deep Learning Certification
Feathers Softwares
January 1, 2025 – Present
AI/ML Certification
Feathers Softwares
January 1, 2024 – Present
C Programming
National Skill Development Certification Authority (NSDCA)
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects show a good breadth of application for AI (SEO automation, face recognition), indicating versatility. The target role of 'AI Engineer' aligns well with their demonstrated skills and project focus. However, the experience is primarily academic and internship-based, with limited exposure to diverse corporate environments, which might impact cultural integration in a fast-paced, senior-level setting. The candidate is still pursuing their Bachelor's degree, which suggests a junior-to-mid level profile rather than a senior one, potentially impacting cultural fit for a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through personal projects and an internship, indicating a proactive approach to learning and application. The detailed project descriptions suggest an understanding of the full SDLC, including documentation and deployment. However, without specific behavioral assessment data, it's difficult to fully assess collaboration, stress handling, or communication in a team setting.