AI/ML Engineer exploring Computer Vision and Model Explainability
Ramaiah Institute of Technology
B.E. in Computer Science (AI & ML)
Expected Graduation: June 2026
Relevant Coursework
Professional Experience
- Created AI optimization tool leveraging evolutionary algorithms to fine-tune 20 camera ISP parameters
- Increased object detection accuracy by 15% using evolution model-assisted tuning methods
- Designed cross-platform GUI with PySide6, improving usability and streamlining workflows for engineers
- Reduced Time-to-Market for Camera products by 50%
- Accelerated camera system prototyping by reducing manual tuning cycles by 90%
- Optimized ARM assembly code to reduce computations by 50% on edge devices
- Engineered AI pest trap using image classification, reducing product cost by 85% to under $45
- Deployed software for remote monitoring and firmware updates for multiple devices via LTE/3G IoT modules
- Improved device performance and reliability through low-level embedded programming
Selected Projects
ML ISP Tuning Suite
Jun 2024 – Present
Developed performance suite processing 100 images/batch in under 10 minutes. Achieved 15% higher object detection accuracy, enabling pilot collaborations with STMicroelectronics and Renesas.
Uterine Fibroids Segmentation
Jun 2024 – Present
Trained UNet++ model with EfficientNet B5 Encoder on 1600+ augmented ultrasound images. Achieved 85% IOU score. Secured ₹4 Lakh funding from Ramaiah's venture.
YouTube Creator AD-Intelligence
Mar 2025 – Present
Built web application providing creators AI tools for real-time comment analysis. Features Comment Summarizer, AI Chat via Gemini integration, and insights dashboard.
Lekha - Legal Productivity
2024
Role-based legal productivity app for Indian lawyers. Features case management, court diary, and AI-powered voice queries. Includes PDF parsing for case summarization.
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Smart Pesticide Deployment System
Smart Pesticide Deployment
Jan 2024 – May 2024
Architected full-stack precision agriculture application. Applied object detection models achieving 95% precision for targeted pesticide deployment, reducing overuse by 30%.
Stories & Insights
Emmetra x Renesas
December 2024 • LinkedIn
"Grateful for the opportunity to work on features that gets in front of clients and future customers right away."
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Internship Reflections
December 2024 • LinkedIn
"Adaptability is the real moat. Working on cutting-edge computer vision solutions taught me the importance of staying flexible."
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Ready to discuss AI/ML opportunities, research collaborations, or innovative projects?