AI Engineer with less than a year in Computer Vision & Generative AI.
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AI/ML Engineer with hands-on experience building production-ready computer vision and generative AI systems. Demonstrated expertise in model training, optimization, and deployment using YOLOv8, TensorFlow, and OpenAI APIs. Proven ability to work with large datasets, implement end-to-end ML pipelines, and deliver measurable business impact. Seeking AI/ML Engineer roles to develop scalable intelligent systems.
Renaissance University
Bachelor of Computer Applications (BCA)
N/A – June 30, 2025
Blucursor InfoTech Pvt Ltd
AI/ML Intern
May 1, 2025 – August 1, 2025
Indore, Madhya Pradesh, India
ELiteTech Intern
Python Developer Intern
April 1, 2025 – May 1, 2025
India
AI Resume Critiquer
June 24, 2026 – Present
Built end-to-end generative AI application using Python and Streamlit to automate semantic analysis of resumes, processing 100+ resume samples with minimal latency. Implemented advanced PDF/TXT parsing pipeline using Python libraries for reliable text extraction and preprocessing, handling documents with variable formats and encodings. Leveraged OpenAI GPT API with zero-shot prompt engineering to perform multi-dimensional analysis: skill extraction, gap identification, and job-fit scoring without fine-tuning. Deployed interactive web application with real-time user feedback, demonstrating ability to translate ML concepts into production-ready systems.
Face Recognition Attendance System
June 24, 2026 – Present
Built a contactless attendance system using facial embeddings and FAISS for fast nearest-neighbor similarity search across stored face encodings. Implemented real-time face detection, encoding, and matching pipeline, applying vector similarity search concepts to identify individuals from live camera input. Designed backend attendance logging using SQLite, with CSV export and a GUI dashboard for record management.
Data Analytics Job Simulation
Deloitte (via Forage)
June 1, 2026 – Present
GenAI Powered Data Analytics
Tata (via Forage)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects (AI Resume Critiquer, Face Recognition Attendance System) and internship experiences (AI/ML Intern, Python Developer Intern) show a strong alignment with an AI Engineer role, demonstrating initiative and practical application of AI/ML concepts. The diversity of projects, covering generative AI, computer vision, and data processing, indicates a broad interest and foundational skill set relevant to the target role. The certifications further support a proactive learning attitude. The candidate is still pursuing a bachelor's degree, which suggests a foundational level of experience, but the practical projects compensate for some of the lack of professional experience.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience demonstrate an ability to translate technical concepts into practical applications and an understanding of project lifecycle from data preparation to deployment. The focus on measurable impact (e.g., 70% mAP, 12% inference accuracy improvement, 60% processing time reduction) indicates a results-oriented approach. However, without specific psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly. The descriptions are clear and professional, suggesting good written communication.