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 comprehensive software solutions for an innovative 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. Implemented payment integration, localization, and cloud infrastructure management.
Key Achievements
- Developed full-stack web applications serving 1000+ farmers
- Built Flutter mobile app with real-time IoT device monitoring
- Implemented serverless architecture reducing operational costs by 40%
- Led localization efforts supporting multiple regional languages
Technologies Used
Software Engineering Intern
Pequrel Technologies
Jan 2023 – May 2023
Contributed to core platform development during critical growth phase. Built comprehensive admin dashboard for customer and product management, designed scheduling systems for crop drying operations. Developed mobile application features for infrastructure operators, enabling real-time system control and monitoring capabilities.
Key Achievements
- Built admin dashboard managing 500+ customer 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
- Implemented CycleGAN for medical image translation
- Achieved 85% similarity score in cross-modal image generation
- Published research findings in university journal
- Developed novel evaluation metrics for medical image quality
Technologies Used
AI Research Project - Talking Face Generation
KLE Technological University
April 2021 – May 2022
Pioneered 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.