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Python Engineer with 2+ years in Full Stack Development & AI/ML
Highly motivated and skilled Python Developer with experience in Full Stack Development, AI Chatbots, Data Science, Machine Learning, and Speech Processing. Former Software Engineering Trainee at Winet Infratel Pvt. Ltd. with hands-on industry exposure. Currently enhancing expertise through an advanced internship in Python Data Science, ML, AI, Generative AI, AWS, and Power BI at Luminar Technolab, Kochi. Passionate about building intelligent, data-driven, and scalable applications.
Sree Buddha College of Engineering
Bachelor of Technology (B.Tech) · Computer Science
August 1, 2019 – June 30, 2023
Kendriya Vidyalaya CMM
Higher Secondary (CBSE – XII)
June 1, 2018 – May 31, 2019
Kendriya Vidyalaya CMM
Secondary (CBSE – X)
June 1, 2016 – May 31, 2017
Luminar Technolab
Python Data Science, Machine Learning, AI & Power BI Internship
September 1, 2025 – April 30, 2026
Kalamassery, Kerala, India
Winet Infratel Pvt. Ltd
Trainee - Software Engineer
September 1, 2024 – August 31, 2025
Noida, Uttar Pradesh, India
ClaySys Technologies
AppForm Development Internship
July 1, 2024 – September 30, 2024
Cochin, Kerala, India
Luminar Technolab
Python Django Full Stack Internship
September 1, 2023 – April 30, 2024
Cochin, Kerala, India
AI Assistant Dashboard using Rasa AI & Python
June 18, 2026 – Present
Designed and developed a comprehensive AI Assistant Dashboard for managing and training Rasa-based chatbots. The system supports uploading PDFs, DOCX files, URLs, and custom Q&A pairs to dynamically update chatbot knowledge. Implemented real-time chatbot and voice agent functionality using Rasa, WebSockets, and Django, along with server controls to train, restart, or terminate Rasa services. Built a responsive and user-friendly interface using HTML, CSS, Bootstrap, and JavaScript.
E-commerce Website (Django & MySQL)
June 18, 2026 – Present
Designed and developed a secure e-commerce web application using Django and MySQL, implementing user authentication, product management, cart functionality, and order handling.
Cultural Fit Analysis
The candidate has a broad range of technical interests, as evidenced by internships spanning full-stack development, data science, ML, AI, and even Power BI. This versatility could be a good fit for dynamic environments. The personal projects demonstrate initiative and a drive to apply learned skills. The experience level (2 years) aligns with an entry-to-mid-level role, and the target role of 'Python Engineer' is well-aligned with their core skills. However, the internships are quite recent and some overlap, suggesting a continuous learning phase rather than extensive professional experience.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest a proactive and hands-on approach to learning and development. The diversity of internships indicates a willingness to explore different technical domains, which is a positive trait for adaptability. However, without direct interview data, it's difficult to assess communication, teamwork, or problem-solving under pressure.