Hi, I'm Raghavendra
I'm a Software Engineer with over 2 years of experience crafting digital solutions across web, mobile, and backend systems.
I specialize in building reliable, user-focused applications that make a real impact. From frontend interfaces to cloud-native architectures, I love turning complex problems into elegant solutions.
Currently exploring the frontier of AI-driven development, focusing on agentic systems and intelligent automation.
Technical Skills
A comprehensive toolkit spanning frontend, backend, mobile, and emerging technologies
Frontend
Mobile Development
Backend
Databases
Cloud & DevOps
AI & ML
Architecture
Full-Stack Expertise
From pixel-perfect frontends to scalable cloud architectures, I bring ideas to life with modern technologies and best practices. Always learning, always building.
My Journey
From academic research to production systems, here's how I've grown as a developer
Software Engineer at Pequrel Technologies
Pequrel Technologies
Feb 2024 – Present
Leading development of software solutions for an agri-tech startup focused on revolutionizing farmer income through IoT-based crop drying and growing systems. Built and maintained web-based admin services, microcontroller lifecycle management systems, and a customer-facing Flutter mobile application. Integrated payment processing, localization, and cloud infrastructure management.
Key Achievements
- Developed full-stack cloud native solutions on AWS
- Built Flutter mobile app with real-time IoT device monitoring
- Implemented serverless architecture reducing operational costs by 40%
Technologies Used
Software Engineering Intern
Pequrel Technologies
Jan 2023 – May 2023
Contributed to core platform development during a critical growth phase. Built a comprehensive admin dashboard for customer and product management and designed scheduling systems for crop drying operations. Developed mobile application features for infrastructure operators, enabling real-time system control and monitoring.
Key Achievements
- Built admin dashboard for managing company's customer and product records
- Designed scheduling system optimizing crop drying efficiency
- Developed Jetpack Compose UI components for mobile operators
- Implemented real-time monitoring features for IoT devices
Technologies Used
AI Research Project - Medical Image Synthesis
KLE Technological University
June 2022 – Dec 2022
Conducted advanced research in AI-based medical image synthesis using Generative Adversarial Networks (GANs). Focused on cross-modal MRI image translation between T1 and T2 sequences. Implemented CycleGAN architecture for unsupervised image-to-image translation, eliminating the need for paired datasets. Developed evaluation metrics and statistical analysis methods for model performance assessment.
Key Achievements
- Studied state-of-the-art solutions for medical image processing, synthetic image generation, and augmentation
- Proposed unsupervised CycleGAN based architecture for medical image translation
Technologies Used
AI Research Project - Talking Face Generation
KLE Technological University
April 2021 – May 2022
Conducted research in AI-driven Talking Face Generation (TFG), focusing on creating realistic facial animations synchronized with speech input. Explored cutting-edge deep learning architectures including Pix2Pix, CycleGAN, and U-Net. Investigated facial action units, keypoint tracking, and temporal alignment challenges. Conducted comprehensive literature review and domain analysis on emotion modeling and visual fidelity in speech-driven animation.
Key Achievements
- Developed speech-to-facial animation mapping system
- Implemented multiple GAN architectures for comparison
- Created comprehensive literature review on TFG methods
- Presented findings at university research symposium
Technologies Used
Let's Connect
Have a project in mind or just want to chat about technology? I'd love to hear from you.