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AI Engineer with 1+ years in AI/ML solutions, backend systems & LLM integration
Resourceful Co-Founder and CTO with extensive experience in developing and deploying innovative AI solutions. Proven ability to architect robust backend systems, including offline-first POS platforms and full-stack LMS applications. Skilled in fine-tuning BERT models, applying advanced machine learning techniques like CatBoost and LightGBM, and integrating LLM-powered chatbots for enhanced user support. Adept at driving product roadmaps and enhancing operational reliability, eager to leverage AI expertise to contribute to cutting-edge projects.
St. Joseph Engineering College
Bachelor of Engineering · Artificial Intelligence and Machine Learning
August 1, 2022 – Present
GEMS Education
High School · Computer Science
June 1, 2013 – May 31, 2022
ViperCore
Co-Founder and CTO
April 1, 2026 – Present
Mangalore, Karnataka, India
Aquera
Backend Developer and Machine Learning Engineer Intern
November 1, 2025 – March 31, 2026
Bengaluru, Karnataka, India
Heritage Safety Training Centre
Software Developer and AI Intern
October 1, 2024 – October 31, 2025
Dubai, Dubai, United Arab Emirates
Cultural Fit Analysis
The candidate's diverse project portfolio, including a real-time compliance monitoring platform (DressGuard AI), a restaurant POS system (ProperLCP), and a mobile app for a psychology study (NurseMindfulnessStudyApp), demonstrates adaptability and a broad interest in applying AI and software engineering to various domains. Their co-founder experience also suggests a proactive and innovative approach, aligning well with dynamic, growth-oriented environments. The target role of AI Engineer aligns with their academic background and internship experiences.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and CTO suggests strong leadership, product management, and problem-solving skills. Their involvement in launching a POS platform indicates an entrepreneurial mindset and ability to drive projects from conception to deployment. The descriptions of their roles highlight a focus on operational reliability and customer feedback, which are valuable for operational fit.