SWAYAM JHA
I design and build resilient distributed architectures, async worker queues, and production AI retrieval pipelines. Engineered beyond the happy path.
Turning complex asynchronous architectures into resilient distributed engines.
OSS BUILDS
RESEARCHED SYSTEMS
“Which way I fly is hell, myself am hell.”
Distributed backends do not fail during nominal operations. They collapse under unmodeled network partitions, slow consumers, and poison packets. Real systems engineering begins by architecting for the catastrophic failure boundary from day zero.
SELECTED SYSTEMS
TECHNICAL ARSENAL
Core technologies, concurrency runtimes, and architectural protocols leveraged across production backends and adversarial assessments.
EDUCATION & ARSENAL
B.Tech in Electrical Engineering (EE - VLSI)
2024 - 2028Delhi Technological University / Core Engineering
Focus on VLSI design, digital logic architectures, hardware-software co-design, and non-blocking asynchronous systems.
WORK PROCESS
DISCOVER & PROFILE
Analyze throughput limits, non-blocking I/O bounds, threat surfaces, and state requirements.
ASYNC PIPELINE DESIGN
Architect producer-consumer pools, Redis queues, and event loops with zero socket exhaustion.
AI & RETRIEVAL ORCHESTRATION
Implement semantic chunking, vector indexing, reranking, and deterministic multi-agent swarms.
ADVERSARIAL & STRESS AUDIT
Execute fault injection, fuzzing, rate limiting, and zero-trust token validation under peak load.
DELIVER & MONITOR
Deploy containerized services with distributed telemetry, error tracing, and continuous health probes.
In distributed systems, reliability isn't an afterthought. It's engineered into every edge case, network timeout, and failure domain before deployment.
DISTRIBUTED ARCHITECTURE FLOW
Scroll-driven interactive SVG architecture visualizing how client requests route across non-blocking async workers, event queues, vector retrieval indices, and resilient persistence.
PREDICTA & SIH 2026
Engineering for mission-critical hardware environments where failures carry physical consequences.
Aerospace Hardware Anomaly Screening & Parametric Drift
In aerospace avionics and high-reliability systems, electronic components undergo intense burn-in stress tests before deployment. The challenge for Smart India Hackathon 2026 was creating an AI pipeline capable of detecting subtle parametric degradation curves long before catastrophic voltage breakdown occurred.
We architected a high-precision time-series evaluation backend using FastAPI, NumPy, and SciPy to compute anomaly scores in real time, delivering actionable drift forecasting to test operators via an interactive Next.js telemetry console.
LET'S WORK
TOGETHER
Currently open for high-impact backend systems, distributed architecture, and production AI engineering opportunities. Let's architect resilient infrastructure that scales effortlessly.