Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a Computer Engineer who develops end-to-end solutions that integrate data systems, sensors, and machine learning to deliver actionable insights. I’ve trained advanced computer vision models for aquaculture monitoring using TensorFlow, built cross-platform apps with Kotlin and React Native, and optimized cloud deployments on AWS and Azure. I also contributed to cybersecurity efforts, enhancing data protection through secure authentication and encryption technologies. I’m a fast learner who thrives on solving complex problems with cost-effective, scalable technologies that bridge hardware and software.…I am a Computer Engineer who develops end-to-end solutions that integrate data systems, sensors, and machine learning to deliver actionable insights. I’ve trained advanced computer vision models for aquaculture monitoring using TensorFlow, built cross-platform apps with Kotlin and React Native, and optimized cloud deployments on AWS and Azure. I also contributed to cybersecurity efforts, enhancing data protection through secure authentication and encryption technologies. I’m a fast learner who thrives on solving complex problems with cost-effective, scalable technologies that bridge hardware and software.

Viresh Nagouda

App Developer, Data Scientist, Web Developer, +2





I am a Computer Engineer who develops end-to-end solutions that integrate data systems, sensors, and machine learning to deliver actionable insights. I’ve trained advanced computer vision models for aquaculture monitoring using TensorFlow, built cross-platform apps with Kotlin and React Native, and optimized cloud deployments on AWS and Azure. I also contributed to cybersecurity efforts, enhancing data protection through secure authentication and encryption technologies. I’m a fast learner who thrives on solving complex problems with cost-effective, scalable technologies that bridge hardware and software.…I am a Computer Engineer who develops end-to-end solutions that integrate data systems, sensors, and machine learning to deliver actionable insights. I’ve trained advanced computer vision models for aquaculture monitoring using TensorFlow, built cross-platform apps with Kotlin and React Native, and optimized cloud deployments on AWS and Azure. I also contributed to cybersecurity efforts, enhancing data protection through secure authentication and encryption technologies. I’m a fast learner who thrives on solving complex problems with cost-effective, scalable technologies that bridge hardware and software.

Available to hire

I am a Computer Engineer who develops end-to-end solutions that integrate data systems, sensors, and machine learning to deliver actionable insights. I’ve trained advanced computer vision models for aquaculture monitoring using TensorFlow, built cross-platform apps with Kotlin and React Native, and optimized cloud deployments on AWS and Azure.
I also contributed to cybersecurity efforts, enhancing data protection through secure authentication and encryption technologies. I’m a fast learner who thrives on solving complex problems with cost-effective, scalable technologies that bridge hardware and software.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

Japanese

Beginner

Work Experience

App Development Intern at ByteSeal / Elementik Technologies Pvt. Ltd.

June 1, 2025 - Present

Designed and integrated a biometric-gated AutofillService for Chromium-based browsers (Chrome, Edge) on Android, enabling secure credential injection post-authentication. Implemented Android Keystore-backed BiometricPrompt API to restrict vault access, ensuring credentials remain encrypted and protected. Developed domain verification and phishing safeguards to prevent spoofed autofill triggers. Conducted robust edge-case testing across biometric failure, domain tampering, and data corruption. Proposed future platform enhancements including WebAuthn (FIDO2) support and a Flutter rewrite for unified cross-platform development.

App Development Intern at ByteSeal / Elementik Technologies Pvt. Ltd.

June 1, 2025 - Present

Designed and integrated a biometric-gated AutofillService for Chromium-based browsers on Android, enabling secure credential injection post-authentication. Implemented Android Keystore-backed BiometricPrompt API to restrict vault access and ensure credentials remain encrypted. Developed domain verification and phishing safeguards to prevent spoofed autofill triggers. Performed robust edge-case testing across biometric failures, domain tampering, and data corruption. Proposed future platform enhancements including WebAuthn (FIDO2) support and a Flutter rewrite for unified cross-platform development.

Intern at Tata Consultancy Services (TCS)

November 1, 2024 - September 21, 2025

AquFish is a Malaysian aqua-tech project delivering AI-driven automation for aquaculture. Co-built AquFish, an IoT-driven platform connecting Raspberry Pi sensor nodes to AWS Amplify, Cognito & DynamoDB for secure real-time telemetry (150+ data points/min). Developed TensorFlow models for fish health detection and growth prediction; deployed on AWS EC2 with auto-scaling, achieving 94% mAP and reducing manual inspections by 40%. Authored a cross-platform mobile app in Jetpack Compose Kotlin Multiplatform with live metrics and push alerts; elevated farmer engagement by 30%. Implemented cost-optimized cloud architecture, reducing idle compute spend by ~RM1.2k/month.

AI Automation Engineer (Freelance) at Sayas Multistate Cooperative Society Ltd.

November 1, 2024 - Present

Built a production-grade OCR pipeline (Python, OpenCV, Tesseract) to extract Aadhaar fields (Name, DOB, Gender, Address) from WhatsApp-submitted images. Deployed a Flask REST API and integrated it with a Twilio-based WhatsApp bot, enabling real-time Aadhaar data extraction and applicant verification. Structured per-user image storage and CSV-based audit logs for traceability and compliance. Contributed to Zoho CRM workflow planning including lead capture automation, invoice generation, and policy issuance triggers. Enabled faster policy onboarding and reduced manual document handling by over 70%, improving scalability for rural outreach.

Intern at Tata Consultancy Services (TCS)

November 1, 2024 - September 21, 2025

Co-built AquFish, an IoT-driven aqua-tech platform connecting Raspberry Pi sensor nodes to AWS Amplify, Cognito & DynamoDB for secure real-time telemetry. Developed TensorFlow models for fish health detection and growth prediction; deployed on AWS EC2 with auto-scaling, achieving 94% mAP and reducing manual inspections by 40%. Authored a cross-platform mobile app in Jetpack Compose Kotlin Multiplatform to present live metrics and push alerts, boosting farmer engagement by 30%. Implemented cost-optimized cloud architecture reducing idle spend.

AI Automation Engineer (Freelance) at Sayas Multistate Cooperative Society Ltd.

November 1, 2024 - Present

Built a production-grade OCR pipeline (Python, OpenCV, Tesseract) to extract Aadhaar fields from WhatsApp-submitted images. Deployed a Flask REST API and integrated it with a Twilio-based WhatsApp bot for real-time Aadhaar data extraction and applicant verification. Implemented per-user image storage and CSV-based audit logs for traceability and compliance. Contributed to Zoho CRM workflow planning including lead capture automation, invoice generation, and policy issuance triggers, accelerating onboarding by over 70%.