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Building systems
that matter.
Software engineer obsessed with performance, distributed systems, and the craft of writing code that operates reliably at scale. I ship open-source tools, AI pipelines, and backend infrastructure.
I build software that operates at scale, with the clarity of code that could be read tomorrow.
Indiser
Software Engineer & Systems Builder
I'm Indiser — a software engineer who builds tools that solve real problems. My work spans distributed systems in C++17, autonomous AI pipelines, and full-stack web applications. I care deeply about how software is structured, not just whether it works.
I approach every project with production in mind: thread safety, observable failure modes, clean separation of concerns. Whether it's a distributed cache handling thousands of concurrent connections or an NLP pipeline analyzing market sentiment — the same engineering principles apply.
I'm currently open to opportunities in backend engineering, AI/ML infrastructure, and systems programming. I work remotely, move fast, and write code I'm proud to put my name on.
Open-source tools and engineered systems, built for performance and real-world impact.
⚡ Valkeyrie - A high-performance distributed cache system built in modern C++17. Features LRU/LFU eviction policies, consistent hashing, RESP protocol compatibility, thread-safe operations, and Docker deployment. Includes 83 comprehensive tests and production-ready architecture for FAANG-level system design interviews.
Autonomous AI pipeline that transforms Reddit stories into viral TikTok/YouTube Shorts. Features LLM-powered content curation, neural voice synthesis, and automated video composition. Built with Python, MoviePy, and Edge-TTS.
Built Valkeyrie — a C++17 distributed cache with LRU/LFU eviction, consistent hashing, and RESP protocol compatibility. 83 comprehensive tests. Production-architecture.
Designed autonomous AI pipelines using LLMs for content curation, neural voice synthesis, and NLP-based semantic scoring. From raw model calls to deployed products.
Write code with latency in mind. Thread-safe operations, memory-efficient algorithms, async I/O, and profiling-driven optimization across Python, C++, and TypeScript.
Shipped end-to-end applications — from PostgreSQL schemas to polished UIs. Flask, FastAPI, Next.js, React. Built for real users with authentication, analytics, and admin systems.
Built ETL pipelines, real-time data extraction tools, and news aggregation systems processing 35+ RSS feeds with geo-matching and dynamic visualization layers.
Created forensic static analysis tools — dead code detection, zombie dependency scanning, AST parsing. Tools developers reach for when debugging gets serious.
Extending Valkeyrie with replication protocols, persistence layers, and cluster management. Exploring Raft consensus for leader election.
Researching efficient prompt chaining, context window management, and hybrid retrieval-augmented generation patterns for production workloads.
Worked on static analysis tools for Python codebases. Exploring AST-based pattern detection and automated refactoring suggestions.
I'm open to full-time roles, contract work, and interesting collaborations. If you're building something that demands serious engineering — reach out.
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