RM Robin Mollah

Senior Software Engineer

Robin Mollah

Backend · Cloud · AI

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Senior Software Engineer / systems under pressure

Robin Mollah

I design, build, and stabilize software systems across backend platforms, cloud infrastructure, data pipelines, frontend products, and applied AI. The common thread is practical engineering under real constraints.

64MB Router-class environments handled with custom web servers, security layers, and tunneling.
512MB Android device constraints managed through game-engine and asset optimization.
300GB+ Large upload paths redesigned around browser, network, and cloud I/O limits.
TB Production-scale data pipelines built for throughput, fault tolerance, and cost control.

Selected work

Engineering problems with hard edges.

These examples were shaped by memory, bandwidth, latency, deployment, and operational constraints rather than ideal lab conditions.

100KB web server

Built complex web servers for 64MB RAM Wi-Fi routers, including custom security layers and TCP tunneling for constrained device environments.

Bonton Connect

36MB game engine

Optimized a LibGDX-based open-world game to run under strict memory and storage limits on a 512MB RAM Android device.

71: Hit & Run

Real-time streaming

Engineered and optimized real-time streaming systems where responsiveness, operational control, and predictable delivery mattered.

Eagle 3D Streaming

Ultra-large file movement

Improved upload flows for files larger than 300GB by working through browser limits, cloud I/O constraints, and network behavior.

Eagle 3D Streaming

Capability

From architecture to production behavior.

I work best where the system has to be designed, shipped, observed, and improved as real users stress it.

Backend platforms

APIs, services, data models, boundaries, and operational patterns for systems that need to keep scaling.

Cloud reliability

Kubernetes, Terraform, deployment workflows, monitoring, autoscaling, and production recovery.

Data systems

Batch and pipeline work across TB-scale datasets, analytics workflows, and storage tradeoffs.

Applied AI

AI integrations treated as product infrastructure: useful, measurable, and grounded in real workflows.

Experience

Built with teams facing real operational pressure.

My work has covered SaaS platforms, high-traffic APIs, data pipelines, cloud infrastructure, real-time systems, and resource-constrained environments.

Eagle 3D Streaming Real-time streaming, SaaS platforms, cloud infrastructure, and large file workflows.
Scale
Freedom2Hear Backend systems, data pipelines, analytics, and cloud reliability across production workloads.
Data
Bonton Connect Constrained networked devices, custom communication paths, and router-class engineering.
Devices

Writing

Notes from practical engineering work.

I write about infrastructure, cloud platforms, operational lessons, and engineering choices that become important after software reaches production.

AWS EC2 vs GCP Compute Engine

A practical comparison of virtual machine creation and operational workflow between AWS and GCP.

Read article

Uploading extra large files to S3

Implementation paths for large uploads, including tradeoffs around streaming and multipart upload.

Read article

Optimising disk usage of a Linux server

Operational commands and habits for finding disk pressure before it becomes a production issue.

Read article

Contact

Useful when the problem is vague, constrained, or already in production.

Bring a hard engineering problem, a system that needs stabilizing, or a product idea that needs a defensible technical path.

Contact Robin