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AI Engineer with less than a year in GenAI, Computer Vision, and Python/Django Backends
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AI/ML Developer with hands-on experience in GenAI-assisted automation and computer vision. Currently an AI/ML Intern at BISAG-N, working on AI-agent-driven government document generation using Python and Django, with project experience in YOLO-based vision systems, OCR, and text-to-image generation.
Charusat University Changa
BTech In AIML · AIML
June 1, 2023 – April 1, 2026
Government Polytechnic Himmatnager
Diploma In IT · IT
May 1, 2020 – May 1, 2023
Bhaskaracharya National Institute for Space Applications and Geo-informatics (BISAG-N)
AI/ML Intern
January 1, 2026 – April 1, 2026
Gandhinagar, Gujarat, India
Ruvra AI: AI/ML-Driven Campus Placement Platform
October 1, 2025 – January 1, 2026
Developed an AI/ML-driven platform to streamline campus placement operations by connecting students, colleges, and recruiters. Implemented AI-validated resume parsing to accurately extract candidate skills and experience. Engineered semantic matching and predictive algorithms to provide smart job recommendations, placement likelihood, and salary predictions. Built deep placement analytics dashboards for colleges and enabled fast, bias-aware shortlisting workflows for recruiters.
ImagiNet - Text-to-Image Generator
May 1, 2025 – August 1, 2025
Built a prompt-driven text-to-image generation system using pretrained deep learning models.Generated output in JSON format and stored it in a relational database. Implemented prompt preprocessing and inference pipelines for context-aware image generation. Integrated the model into an application workflow with focus on efficient inference and consistent outputs. Optimized results by evaluating image quality and refining prompts and parameters.
Two wheeler Number Plate Detection
February 1, 2025 – April 1, 2025
Developed a real-time number plate detection system using YOLOv11 for accurate plate localization. Integrated EasyOCR to extract and recognize vehicle registration numbers from detected plates. Implemented live video feed processing to detect and read number plates in real time. Optimized detection and OCR accuracy under varying lighting and motion conditions.
JARVIS: AN AI ASSISTANT
February 1, 2024 – May 1, 2024
Built with Speech Recognition to browse the web, launch apps, play Spotify songs, and send WhatsApp messages via voice commands.
Develop Generative AI Applications
IBM
June 1, 2026 – Present
Introduction to Machine Learning
NPTEL
June 1, 2026 – Present
C
Unknown
June 1, 2026 – Present
Android
Unknown
June 1, 2026 – Present
Python Programming
Unknown
June 1, 2026 – Present
Red Hat Certificate
Red Hat
June 1, 2026 – Present
The candidate scored 72% on the 'Junior Python Developer | Django | Privacy protection | data anonymizers' test, indicating a solid grasp of core Python and regular expressions, which are foundational for Django development.
Strengths
Limitations
Cultural Fit Analysis
The candidate's portfolio showcases a diverse range of personal projects, from real-time number plate detection to an AI-driven campus placement platform and a text-to-image generator. This breadth of interest and initiative in applying AI/ML to different problem domains suggests a curious and adaptable individual. The internship experience at BISAG-N, involving government document generation, indicates an ability to work in structured environments and contribute to impactful projects. The alignment with the AI Engineer role is strong due to the consistent focus on AI/ML technologies across all projects and experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving approach, particularly in optimizing AI model accuracy and integrating various technologies. The psychometric test score of 318/500 suggests average logical reasoning and work attitude, which could imply a need for further development in areas like stress handling or team collaboration, though specific details are not provided. The candidate's focus on practical application of AI/ML in diverse projects suggests a results-oriented mindset.