AI Engineer with 1+ years in Machine Learning, NLP, 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
Computer Engineering student focused on software engineering and machine learning systems. Experienced in building full-stack applications, backend APIs, and AI systems including RAG pipelines, computer vision models, and machine learning applications. Strong background in system design, data processing, and production deployment.
Nile University
B.Sc · Computer Engineering
August 1, 2023 – June 30, 2027
Pathline
Machine Learning Intern (Level III Program)
April 1, 2026 – May 31, 2026
India
Elevvo
Natural Language Processing Intern
February 1, 2026 – March 31, 2026
India
Vitae
Co-Founder & Technical Project Manager
January 1, 2025 – Present
India
AI Document Search (RAG System)
June 3, 2026 – Present
• Built retrieval-augmented generation system using Sentence Transformers and ChromaDB • Developed Flask backend for document ingestion and semantic search • Containerized system using Docker and deployed with CI/CD pipeline
MRI Brain Tumor Classification
June 3, 2026 – Present
• Built deep learning model using ResNet50 transfer learning • Trained on multi-class MRI dataset with ~95% accuracy • Applied data augmentation and model optimization techniques
Image Captioning System
June 3, 2026 – Present
• Built CNN-LSTM model using ResNet50 encoder and LSTM decoder • Trained on Flickr8k dataset for image-to-text generation
Face Verification API
June 3, 2026 – Present
• Built REST API for identity verification using face matching and OCR • Implemented secure file handling and automated verification pipeline • Designed for KYC-style identity validation workflows
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI/ML applications to full-stack development and entrepreneurial ventures, indicates a broad interest and adaptability. Their experience in both individual technical contributions and team leadership (Vitae) suggests a collaborative mindset. The target role of AI Engineer aligns well with their demonstrated technical skills and project focus on AI systems, indicating a good cultural fit for an innovation-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and project management skills from their Co-Founder role, indicating good operational fit for roles requiring initiative and team coordination. Their involvement in diverse projects suggests adaptability and a proactive learning attitude. The detailed project descriptions imply good communication of technical concepts.