SPTK
Software Engineer · Systems & AI
Building scalable software systems from distributed task queues and custom search engines to LLM-powered RAG pipelines and aerospace-grade Digital Twin simulators. Full-Stack Builder. Systems & AI-obsessed.
I'm a Software Engineer specializing in Python, data engineering, and generative AI application development. My work focuses on building resilient ETL and validation pipelines, integrating LLMs via production APIs, and deploying high-accuracy RAG workflows using vector embeddings and similarity search on AWS.
Grounded in core computer science fundamentals, I build scalable systems from scratch. That spans engineering fault-tolerant distributed task queues with Python sockets and multiprocessing, building inverted-index search engines with min-heap retrieval, and developing production digital twin simulators with zero-dependency MAVLink v2 bridges.
Beyond the backend, I deliver responsive full-stack applications and automated enterprise workflows. I focus on bridging complex algorithmic logic with clean user interfaces, ensuring high concurrency, strict type safety, and verifiable system outputs.
A production-grade Copter Studios with full-fidelity physics, a from-scratch MAVLink v2 HIL bridge that connects to real PX4/ArduPilot flight controllers, and an AI sim operator powered by Gemini. Built with the same standards used in professional aerospace simulation then deployed in a browser.
RK4 integration · BET thrust · Quaternion attitude · Dryden turbulence · ISA atmosphereMAVLink v2 encoded from scratch (zero deps) · HIL_SENSOR · PX4 & ArduPilot compatiblePPO Actor-Critic · TensorFlow.js · Web Worker concurrent benchmarkingAether Gemini-powered sim controller · NL→config parsing · Crash forensicsMAVLink v2 CRC-16/MCRF4XX implemented from scratch with zero npm dependencies. Connects this browser-based simulator directly to a real Pixhawk flight controller or PX4 SITL the same architecture used in professional aerospace simulation toolchains.
Built an inverted-index search engine from scratch featuring a custom tokenizer, BM25 ranking algorithm, and min-heap-based top-K retrieval to avoid full-set sorting. Complete with boolean query parsing and Levenshtein-distance typos.
Engineered a fault-tolerant job queue using a socket-based client/server protocol and concurrent multi-process workers. Implemented at-least-once delivery via visibility timeouts and dead-letter queues after max retries.
Engineered a client-side RAG system ingesting PDFs to deliver policy-accurate answers via LLM embeddings. Strict prompt guardrails eliminate hallucinations with real-time token streaming and cosine-similarity searches.
AI tool analyzing incoming emails and auto-drafting context-aware responses from a secured knowledge base. Human-in-the-loop approval with semantic analysis for consistent administrative tone at scale.
Actively seeking Software Engineering and Applied AI roles. Whether you're building intelligent autonomous systems, scalable infrastructure, or the next wave of LLM-powered applications let's connect.