01 — STREAMING▶
Media Streaming Infrastructure
Scalable video platform with transcoding pipelines, adaptive bitrate streaming, HLS delivery, and secure playback architecture.
FFmpegHLSDRMNode.js
available_for_hire: true
Building Media Platforms, AI Systems & Scalable Backend Infrastructure▌
Full-stack engineer with deep expertise in Node.js, Laravel, streaming technologies, AI integrations, and cloud infrastructure.
3+
"years_experience"
20+
"projects_shipped"
streaming / ai
"specialty"
About
I’m Indal Singh, a full-stack engineer who likes building the parts of products most developers avoid — transcoding pipelines, adaptive streaming, and AI agents that have to hold up in production, not just in a demo.
Over the last 3+ years I’ve worked across Node.js, Express, PHP and Laravel, with a growing focus on media infrastructure and AI-powered automation. I care about systems that stay fast and correct under real load.
Right now I’m open to roles and projects in media streaming, backend architecture, and applied AI. If you’re building something in that space, I’d love to talk.
Full-stack development
Node.js, Express, PHP, Laravel
Media streaming platforms
FFmpeg, HLS, DASH, DRM, RTMP
AI-powered applications
LLM integrations, agents, automation
Performance & scale
Query tuning, system design
Core Expertise
What I work with
Backend Engineering
Node.jsExpress.jsPHPLaravelREST APIsAuth Systems
Databases
MongoDBMySQLPostgreSQLDB OptimizationQuery Tuning
Media & Streaming
FFmpegHLSDASHDRMRTMPWebRTCTranscoding
AI & Automation
LLM IntegrationsAI ChatbotsAI AgentsWorkflow Automation
Featured Projects
Selected work
02 — AI SYSTEMS◆
AI Agent Platform
AI-powered assistant systems for task automation, contextual conversations, and workflow orchestration.
LLMAgentsNode.js
03 — FULL-STACK▣
Full-Stack SaaS Platform
Complete business application using Node.js, Laravel, MongoDB, and MySQL with auth, dashboards, and API integrations.
LaravelMongoDBMySQL
04 — PIPELINE⟲
Video Processing Pipeline
Automated video ingestion, transcoding, packaging, thumbnail generation, and metadata extraction.
FFmpegAutomation
Engineering Case Studies
How I solve problems
Challenge
Large video files needed multiple output formats and adaptive bitrate streaming.
Approach
Designed an FFmpeg-based transcoding pipeline with automated packaging workflows.
Result
Improved streaming compatibility and playback quality across devices.
Challenge
Needed real-time communication and low-latency media delivery.
Approach
Implemented streaming architecture using modern protocols and optimized delivery pipelines.
Result
Reduced playback delays and improved user experience.
Challenge
Businesses needed AI-powered automation tools.
Approach
Integrated LLMs, agent workflows, and backend services.
Result
Reduced manual effort and improved operational efficiency.
Visual Engineering
System architecture
Video Pipeline
⇧Upload
⚙Transcode
▦Package
☁CDN
▶Playback
AI Workflow
◯User
◆AI Agent
⚡Tool Exec
✓Response
Backend Architecture
▢Client
▤API Layer
⚙Services
▥Database
Interactive Terminal
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Technical Writing
Notes from the field
Understanding HLS Streaming
Read →Video Transcoding with FFmpeg
Read →Building AI Agents with Node.js
Read →Adaptive Bitrate Streaming Explained
Read →Backend Scaling Strategies
Read →Get In Touch
indal@dev:~$ whoami --contact
Let's build something interesting
Open to roles and projects in media infrastructure, streaming, and AI systems.