Hello, I'm
Daksh Goyal
Building production-ready AI systems with research depth.
Final-year ISE student at RVCE building end-to-end AI systems—from applied GenAI research to scalable, production-grade engineering. Experienced across both research and enterprise environments at Samsung R&D and Philips.
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About
I build end-to-end AI systems—from data collection and model development to optimization, deployment, and user-facing dashboards. Whether it's deploying computer vision models on a Raspberry Pi, building cloud-native pipelines on GCP, or automating workflows with CI/CD and Kubernetes, I care about shipping AI that actually works in production.
My experience spans GenAI research (video-to-audio synthesis at Samsung R&D), production analytics automation (Philips), and AI agent development (patent filing automation at TechConPro).
Beyond technical depth, I'm passionate about sustainable computing—my GreenOps project won 2nd Runner-Up at Cloud Pirates Hackathon for enabling carbon-aware cloud deployments. I approach problems with a product mindset: understanding the "why," iterating fast, and building systems that scale.
Focus Areas
GenAI (Audio/Video), Edge AI, Computer Vision, Sustainable Cloud, AI Agents, Applied ML Systems
Toolbox
PyTorch, TensorFlow, YOLOv8, Transformers, Kubernetes, GCP, Azure DevOps, Neo4j, MQTT/TLS
What I Build
Real-time pipelines, dashboards, optimization engines, digital-twin visualizations, secure IoT frameworks
Location
Bengaluru, India
Education
RVCE (2022-2026) — Information Science & Engineering
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Experience
Samsung R&D Institute India
PRISM Project Intern
Jul 2024 – Mar 2025
- Built GenAI system to generate realistic audio from silent videos
- Developed CVAP framework with Transformers, VAE, BigVGAN architecture
- Evaluated on VGGSound dataset (180k clips) with comprehensive metrics
- Published research at IEEE CSITSS 2025
TechConPro Pvt Ltd
Project Intern
Mar 2025 – May 2025
- Developed AI-driven Patent Filing Agent for automated patent processing
- Built automated IDF workflows for streamlined patent documentation
- Created conversational chatbot interface for inventor guidance
- Implemented workflow orchestration for end-to-end automation
Philips
Summer Intern
Jun 2025 – Oct 2025
- Automated checkout error analysis across Philips.com domains using GCP + Google Analytics
- Eliminated up to 100% manual workload through intelligent automation
- Supported agent-based code review workflows in Azure DevOps
- Implemented Power Automate for cross-team workflow efficiency
Philips
Software Product Developer Intern
Jan 2026 – Present
- Continuing work on production analytics systems and automation pipelines
- Building scalable data pipelines with ownership and reliability focus
- Developing real-time dashboards for business intelligence
- Contributing to product engineering with emphasis on system scalability
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Featured Projects
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Skills
Languages
ML / AI
GenAI
Computer Vision / Edge
Data / Databases
Cloud / DevOps
IoT / Security
Tools / Frameworks
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Publications & Achievements
Research Publications
Generation of Sound from Silent Videos
IEEE CSITSS 2025
Research on generating realistic audio from silent video content using the CVAP framework with Transformers, VAE, and BigVGAN architecture. Evaluated on VGGSound dataset (180k clips) with comprehensive audio quality metrics.
Achievements
Cloud Pirates Hackathon (8th Mile 2025)
Second Runner-Up
GreenOps: No-code carbon-optimized cloud deployment platform at RVCE Bengaluru.
NPTEL Silver Medals
IIT Certified
Distributed Systems (Top 5%), Data Mining — rigorous online certification programs.
Certifications
Data Mining
NPTEL
Distributed Systems
NPTEL
Kafka Fundamentals with Confluent Cloud
Confluent
Introduction to Cloud Computing (AWS, Azure, GCP)
Udemy
Mastering Data Structures & Algorithms (C/C++)
Udemy
Unix and Linux OS Fundamentals
Infosys Springboard
Industrial IoT Markets and Security
Coursera
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Get In Touch
Open to research collaborations and full-time roles in SDE, AI/ML, and systems engineering.