Help & Supportcareers@gravityer.com
AI Engineer with less than a year in RAG Systems & OCR Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science and AI enthusiast with hands-on experience in RAG systems, OCR pipelines, and machine learning models during a 6-month internship at Ospyn Technologies. Skilled in Python, FastAPI, and document intelligence solutions with a strong interest in Generative AI and real-world automation systems.
School of Technology and Applied Sciences, Kottayam
Masters in Computer Applications (MCA)
N/A – Present
College of Applied Sciences, Perissery, Chengannur
Bachelors in Computer Applications (BCA)
N/A – Present
Ospyn Technologies
Data Scientist Intern
September 1, 2025 – March 31, 2026
India
Bank Process Automation & RAG-Based Decision Engine
September 1, 2025 – March 31, 2026
Designed an internal automation platform for banking workflows using Retrieval-Augmented Generation. Built schema-driven structured extraction pipeline from scanned documents. Implemented deterministic rule-based eligibility validation with compliance tracking. Developed audit logging and version-controlled rule management for traceability.
Document OCR & Masking System (Aadhaar / PAN)
September 1, 2025 – March 31, 2026
End-to-end OCR pipeline using EasyOCR, Tesseract. Automated masking of sensitive data such as Aadhaar number, PAN number, DOB. Built APIs for enterprise integration.
Machine Learning Specialization
Coursera (Andrew Ng)
June 1, 2026 – Present
Data Scientist Internship Certificate
Ospyn Technologies
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily focused on document AI and RAG systems within a banking context, which aligns well with roles requiring practical application of AI. The projects demonstrate a problem-solving approach to real-world business challenges. The breadth of skills is somewhat specialized, but the foundational ML certification suggests a willingness to learn and adapt. The internship experience, while limited in duration, shows exposure to a professional environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from design to API deployment. The focus on regulated banking workflows suggests an understanding of compliance and traceability, which are critical in operational environments. However, without direct interview data, assessing collaboration, problem-solving under pressure, or adaptability is difficult.