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AI Engineer with 1+ years in AI/ML, Full-Stack Development & DevOps
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Assessing your cultural and operational fit
AI-native Software Engineer with hands-on experience building production-ready applications using Python, AI/ML, AWS, Full-Stack Development, and DevOps practices. Skilled in prompt engineering, rapid prototyping, Fast APIs, Docker, and CI/CD pipelines, with experience integrating AI into scalable real-world systems. Published researcher in deep learning with strong fundamentals in data structures, system design, and cloud infrastructure. Passionate about shipping impactful AI-powered products from idea to deployment.
Malnad College of Engineering
B.E. · Computer Science & Engineering
December 1, 2021 – July 1, 2025
Geodraft Consultancy Pvt Ltd.
Software Developer
June 1, 2025 – Present
Hassan, Karnataka, India
LTTS
Software Engineer
February 1, 2025 – May 1, 2025
Mysore, Karnataka, India
Perceptron Solutions
AI Intern
August 1, 2024 – December 1, 2024
Vancouver, British Columbia, Canada
JobBridge Karnataka – AI-Powered Employment Portal
June 4, 2026 – Present
Built a full-stack career transition portal for job seekers with employment gaps, featuring AI-powered resume analysis, ATS optimization feedback, and a visual resume strength score. Integrated PDF resume parsing, extracting structured data (skills, experience, education) using JSON response mode for consistent output. Developed AI-driven features smart course recommendations (Coursera, edX) based on user stream and skills, and professional gap narrative assistance. Built a super-admin dashboard with real-time analytics (district/taluk-level breakdown, institutional metrics, registration trends) using Recharts, with PDF report export.
Automated CI/CD Pipeline – Two-Tier Flask App
June 4, 2026 – Present
Built and deployed a two-tier Flask + MySQL web application on AWS EC2 using Docker and Docker Compose for containerized multi-service architecture. Designed a fully automated CI/CD pipeline with Jenkins, triggering builds on every GitHub commit and reducing deployment time significantly. Monitored logs and debugged deployment failures in Linux-based environments to ensure build stability.
Blood Group Determination via Fingerprint
June 4, 2026 – Present
Developed a CNN-based deep learning model to predict blood groups from fingerprint images, achieving 85% + validation accuracy . Developed an OpenCV preprocessing pipeline for image enhancement and feature extraction; deployed via Flask with user authentication.
Oracle Cloud Infrastructure AI Foundations Associate
Oracle
June 1, 2026 – January 1, 2025
AWS Foundations – Getting Started with AWS Cloud Essentials
AWS Training & Certification
June 1, 2026 – January 1, 2026
Prompt Engineering
Udemy
June 1, 2026 – January 1, 2026
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an innovative and fast-paced AI engineering environment. Their involvement in projects like 'JobBridge Karnataka' shows a passion for building impactful AI-powered products from idea to deployment. The academic project on 'Blood Group Determination via Fingerprint' and a published paper indicate a research-oriented mindset. The breadth of skills across AI, full-stack, and DevOps, combined with certifications in AWS and Prompt Engineering, suggests a continuous learning attitude and a desire to stay current with industry trends. The experience in an Agile team further supports their ability to integrate into modern development cultures.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, team collaboration, communication, leadership, and critical thinking as soft skills. Project descriptions indicate experience in Agile teams and contributing to design discussions, suggesting a good operational fit for collaborative development environments. The diverse project portfolio also shows adaptability and a proactive approach to learning and applying new technologies.