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AI Engineer with less than a year in Machine Learning, Web Development, and Backend 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
Aspiring Artificial Intelligence and Machine Learning professional with a strong foundation in programming, data structures, algorithms, web development, and backend development. Hands-on experience in building machine learning-based applications and Django, database management, and model integration. Passionate about problem-solving, intelligent systems, and developing scalable, efficient, and impactful real-world solutions.
Chandigarh Group of Colleges, Jhanjeri, Mohali
Bachelor of Technology · Artificial Intelligence & Machine Learning
August 1, 2023 – June 30, 2027
GBN Sr. Sec. School, Faridabad
Secondary School Education (Class X)
N/A – May 31, 2021
GBN Sr. Sec. School, Faridabad
Senior Secondary Education (Class XII)
N/A – May 31, 2023
Techstreet Solutions Pvt. Ltd.
Machine Learning Intern
March 1, 2026 – June 1, 2026
Noida, Uttar Pradesh, India
Pinnacle Labs
Cloud Computing Intern
April 1, 2025 – May 1, 2025
India
Healthcare Prediction System
March 1, 2026 – March 1, 2026
Developed a machine learning-based web application to predict diseases from user-input symptoms, implementing backend logic and user interfaces. Improved application reliability through data preprocessing, validation, and structured code practices.
Crop Type Prediction System
February 1, 2026 – February 1, 2026
Built a predictive system for crop recommendation using environmental and soil data with integrated backend APIs. Enhanced decision accuracy and ensured efficient data handling through preprocessing and model optimization.
AI Customer Service Chatbot
June 1, 2025 – June 1, 2025
Developed an automated chatbot using API integration and workflow automation to handle user queries. Improved response time and reduced manual workload through real-time query handling and structured workflows.
Student Attendance System (Flask)
December 1, 2024 – December 1, 2024
Designed and developed a web-based attendance system with backend routes and camera-assisted verification. Improved data management and usability through structured database handling and clean UI workflows.
Audio Transcription System
October 1, 2024 – October 1, 2024
Built a speech-to-text application using external APIs for audio processing and transcription generation. Reduced manual effort and improved processing efficiency through automated text generation.
Internshala Java course
Internshala
June 1, 2026 – Present
AWS certifications in Data Engineering and Generative AI
AWS
June 1, 2026 – Present
Oracle certification
Oracle
June 1, 2026 – Present
Gold Badge in C++ on HackerRank
HackerRank
June 1, 2026 – Present
Achieved a perfect score (100%) on the 'Application Developer — Experience Full Stack (Python)' test, indicating strong proficiency in the evaluated skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects are diverse, covering healthcare, agriculture, customer service, and attendance systems, indicating a broad interest in applying AI/ML to various domains. Their involvement in hackathons and certifications in AWS and Oracle suggest a proactive learning attitude and a desire to expand their skill set. The target role of AI Engineer aligns well with their academic specialization and project experience. However, the psychometric test score indicates potential areas for growth in work attitude and team collaboration, which are crucial for cultural fit in a collaborative environment.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving abilities, teamwork, and communication skills through project descriptions and participation in hackathons. Their academic projects show initiative and a structured approach to development. The psychometric test score (283/500) suggests some areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which would require further investigation during an interview.