Tushar girinath

Aspiring Machine Learning Engineer | AI & Data Science Enthusiast | Deep Learning | Pursuing B.E. in Artificial Intelligence & Machine Learning · Bengaluru, Karnataka, India

I’m an AI & Machine Learning undergraduate passionate about building intelligent, scalable solutions for real-world problems. I specialize in designing end-to-end AI systems from problem definition and model development to evaluation and deployment focused on reliability, performance, and real-world usability. Technical expertise: • Python, Machine Learning, Deep Learning, Data Analysis, APIs • CNNs, Generative AI, LLMs, and Data Science workflows • Model training, evaluation, optimization, and deployment I have worked on multiple end-to-end AI projects, including real-time security and surveillance systems using computer vision for suspicious activity detection, medical image analysis solutions for accurate disease identification, and multi-disease detection frameworks that integrate deep learning models with LLM-based intelligence for clinical decision support. These projects involved data preprocessing, model development using CNNs and advanced deep learning architectures, performance evaluation, and deployment-ready design, with a strong emphasis on scalability, accuracy, and real-world usability. Core strengths: Analytical Thinking · Problem Solving · Research · Clear Communication · Team Collaboration · Project Management I’m always eager to collaborate on impactful AI projects and apply cutting-edge technologies to solve meaningful problems.

Experience

C

AI and Machine learning intern

Civora Nexus · Dec 2025 – Present

Not yet confirmed

• As an AI & Machine Learning Intern under the CivoraX Winter Tech Internship 2026 and assigned to the CropGuard AI – Disease Detection System, an applied AI project focused on agricultural intelligence and crop disease identification.
• • Worked on machine learning–driven crop disease detection using visual plant data and contextual farm information
• • Applied computer vision concepts to analyze crop images and assess disease type and severity
• • Designed AI logic to generate explainable, data-driven treatment and prevention recommendations
• • Integrated user farm data (crop type, growth stage, environment) to enable personalized ML-based advisory outputs
• • Followed industry-standard Git and GitHub workflows for version control, collaboration, and project delivery
• • Focused on building practical, real-world ML systems with clarity, usability, and sustainability impact

Software Development Engineer Intern

Bluestock™🔺 · Nov 2025 – Dec 2025

Not yet confirmed

• As a Software Developer Intern at Bluestock, Fintech, I contributed to the development and enhancement of internal web applications by working with modern software engineering tools and best practices.
• My role involved implementing backend features, optimizing code performance, debugging issues, and collaborating with the development team to improve overall product quality.
• I worked on designing REST APIs, integrating database operations, and building application modules that improved data flow efficiency.
• I also participated in sprint discussions, testing cycles, and code review sessions, gaining hands-on experience in real-world development workflows.
• During this internship, I strengthened my understanding of full-stack development, version control (Git), software architecture principles, and agile development.