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AI Engineer with 1+ years in LLM-powered applications, backend development, and machine learning.
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Assessing your cultural and operational fit
AI Engineer and Software Developer with an M.Tech in Artificial Intelligence and Machine Learning, combining hands-on expertise in LLM-powered applications, Retrieval-Augmented Generation (RAG), and computer vision with production backend engineering experience in Golang, Ruby on Rails, and Java (Spring Boot). Delivered features across 3 production systems at BraveStudio Inc. in Japan, collaborating daily with Japanese engineers in an Agile environment. Seeking to contribute to AI and software engineering roles at Japanese technology companies.
Shimane University
Student Exchange Program · Natural Science and Technology
August 1, 2025 – June 30, 2026
Rajagiri School of Engineering and Technology
Master of Technology · Artificial Intelligence and Machine Learning
August 1, 2024 – June 30, 2026
TKM Institute of Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2019 – June 30, 2023
BraveStudio Inc.,Japan
Server Side Engineer Intern
November 1, 2025 – March 1, 2026
Matsue, Shimane Prefecture, Japan
Scope india, Kerala
Java Full Stack Developer Intern
January 1, 2024 – June 1, 2024
Thiruvananthapuram, Kerala, India
Multi-Task Deep Learning Framework for Osteoarthritis Severity Detection
June 27, 2026 – Present
Engineered an end-to-end medical AI system for knee X-ray analysis using PyTorch and a pretrained ConvNeXt backbone. Implemented multi-task learning across three simultaneous objectives: KL Grade classification, JSN severity classification, and KOOS pain score regression — all in a single forward pass. Integrated Grad-CAM for explainable AI, generating clinically interpretable heatmaps that highlight joint regions driving predictions. Deployed a real-time inference interface via Flask/Streamlit; improved model robustness through augmentation strategies and weighted loss optimization.
View ProjectWasteGuard - Computer Vision Waste Detection System
June 27, 2026 – Present
Built a YOLOv8-powered Flask application detecting waste-throwing incidents — identifying persons, waste bags, and vehicle number plates with bounding box overlays. Designed a modular backend (file handler, detector, annotator) enabling independent testing and extension of each component. Implemented test coverage with Pytest and Hypothesis across core detection logic.
View ProjectScope India Educational Website
June 27, 2026 – Present
Developed a full-stack event management platform with Spring Boot REST APIs, MySQL, Thymeleaf, Bootstrap, and jQuery. Implemented Ajax-driven dynamic interactions and a fully responsive UI, supporting concurrent event registrations without page reloads.
Japanese Language Course
Unknown
June 1, 2026 – Present
JLPT N5
Japanese-Language Proficiency Test
January 1, 2025 – Present
User Interface Design
NPTEL
January 1, 2023 – Present
Cultural Fit Analysis
The candidate shows a strong cultural fit for roles involving international collaboration, especially with Japanese teams, given their internship experience in Japan, JLPT N5 certification, and ongoing N3 preparation. Their diverse project portfolio and experience across different technology stacks (AI/ML, backend, frontend) indicate a broad interest and willingness to learn, aligning well with dynamic and innovative environments. The stated openness to relocation to Japan further reinforces this fit.
Soft Skills & Operational Fit
The candidate demonstrates strong adaptability and cross-cultural communication skills, having successfully integrated into a Japanese development team and actively pursuing Japanese language proficiency. Their experience in Agile sprints and code reviews indicates a collaborative and process-oriented approach. The project descriptions are clear and well-structured, suggesting good communication skills.