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AI Engineer with less than a year in data processing, API integration, and full-stack development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate and self-motivated 2024 B.E. graduate (CGPA: 7.37) with strong Python programming skills and a keen interest in Artificial Intelligence, Machine Learning, and intelligent automation solutions. Experienced in data processing, algorithmic problem-solving, API integration, and building real-world software applications. A quick learner with an experimental mindset, eager to contribute to AI-powered projects, LLM-based tools, and emerging AI technologies at Polluxa.
St. John's High School
Secondary School
N/A – May 31, 2018
GBMM School and Junior College
Higher Secondary
N/A – May 31, 2020
G.H. Raisoni College of Engineering
Bachelor of Engineering
N/A – June 30, 2024
Codenera
Java Full Stack Developer Intern
July 9, 2025 – October 9, 2025
India
Knee Support for Elderly - Body Weight Transfer to Shoe
June 5, 2026 – Present
Built a Python-based intelligent assistive system that processes biomechanical data to model and redistribute body weight — a real-world AI/ML-adjacent application. Applied algorithmic analysis and data processing techniques to identify pressure patterns across varied mobility profiles, simulating sensor-based AI logic. Designed modular, reproducible Python code — structured for easy experimentation, iteration, and future integration with AI/ML models and hardware sensors.
E-Learning Platform
June 5, 2026 – Present
Developed an end-to-end web application integrating back-end logic, database management, and dynamic front-end — demonstrating full-stack AI application development capability. Implemented REST API-driven architecture and user session management, providing a strong foundation for integrating LLM-based or AI-powered features into web platforms. Applied strong problem-solving and data modelling skills to design normalized schemas and ensure reliable, structured data flow across the application.
Cultural Fit Analysis
The candidate's academic projects, particularly the 'Knee Support for Elderly' project, show an interest in real-world applications and problem-solving, which can contribute positively to a team culture focused on impact. Their stated interest in 'Artificial Intelligence & Emerging Tech' and 'teamwork & strategic thinking' suggests a good cultural fit for an innovative and collaborative environment. The diversity of projects (biomechanical data processing, e-learning platform) indicates adaptability and a broad technical curiosity.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, self-motivation, and a willingness to learn, which are valuable soft skills for an AI Engineer role. Their experience in agile-style sprint reviews suggests good team collaboration and communication habits. The candidate's interest in exploring AI tools, LLMs, and automation trends aligns well with the dynamic nature of an AI engineering role.