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AI Engineer with less than a year in OCR & data extraction.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Intern with hands-on experience in developing AI-based document intelligence systems, OCR, and data extraction. Contributed to building document processing pipelines, implementing text extraction, and developing backend APIs using Fast API. Skilled in handling unstructured data, converting it to structured formats (JSON/CSV), and demonstrating strong problem-solving skills with high accuracy and efficiency.
Guru Nanak Institute of Technology
Bachelor of Technology · Computer Science and Engineering (AI&ML)
August 1, 2022 – June 30, 2026
Synycs Enterprises Private Limited
AI Intern
May 1, 2026 – June 30, 2026
Hyderābād, Telangana, India
Document Intelligence pipeline
January 1, 2024 – June 30, 2026
Designed and developed an end-to-end document intelligence system to process scanned PDFs, handwritten forms, and structured/unstructured documents. Implemented OCR-based text extraction using tools like PaddleOCR/EasyOCR to convert images and PDFs into machine-readable text. Built a scalable backend using Fast API and Celery for asynchronous document processing and task management. Developed a modular pipeline including ingestion, preprocessing, OCR, data extraction, validation, and export stages.
Enhanced Sensing and Multi-Model Fusion for Hypopnea Detection
January 1, 2024 – June 30, 2026
Designed an enhanced sensing and multi-modal fusion framework for real-time hypopnea detection by integrating signals such as SpO2, airflow, EEG, ECG, and respiratory effort. Applied signal processing and machine/deep learning techniques to fuse heterogeneous bio signals, significantly improving detection sensitivity and specificity over single-modal approaches. Developed a multi-modal sensor fusion system for automated hypopnea detection, integrating physiological signals to enhance sleep-disordered breathing diagnosis accuracy.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in both document intelligence and biomedical signal processing, indicating a diverse technical curiosity. The academic nature of all projects and the internship suggests a foundational understanding and willingness to learn. However, the limited professional experience (one short internship) and academic project focus mean there is insufficient data to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's resume mentions 'Rapport Building', 'Strong Stakeholder management', and 'Excellent communication' as soft skills. However, without specific examples or assessment data, it's difficult to objectively evaluate their operational fit beyond these self-reported skills. The project descriptions indicate an ability to work on complex systems, suggesting problem-solving and task management capabilities.