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NYN-05/README.md

NYN-05 — Engineering Command Center: Jhashank Nayan, backend engineer across ML systems and distributed systems

● OPEN TO WORK  ·  github  ·  linkedin  ·  email  ·  portfolio

Stack ticker: Python, Go, Kubernetes, PyTorch, PostgreSQL, Redis, Docker, AWS, backend, ML, distributed

▍ 01 · FOCUS

01 ▸ CORE

Backend Systems

APIs, pipelines and data services built to stay up under load.
02 ▸ INTELLIGENCE

ML & Data Systems

Models built to earn trust — classification, grounding, forensics.
03 ▸ SCALE

Distributed Systems

Queues, caching and failure-tolerant orchestration at scale.
04 ▸ SPEED

Performance

Latency budgets and profiling — the last 10% from prototype to product.

▍ 02 · CAPABILITIES

Capability modules: languages, infrastructure and data, ML and AI proficiency meters

▍ 03 · SIGNAL

Animated signal grid monitor: 12 months of activity intensity with active pulses GitHub statistics: commits, pull requests, issues, stars

▍ 04 · REPOS

SceneTrace_AI

Natural-language video grounding — retrieve matching clips via CLIP + FAISS.

FASTAPI · REACT · CLIP · FAISS

VERISIGHT_V1

Multi-layer image forensics — CNN + ViT + GAN analysis for forged documents.

PYTORCH · CNN · VIT · GAN · OCR

Report_Generation

Evidence-first multi-agent reports — knowledge graphs, RAG, hallucination gates.

LLM · RAG · KG · AGENTS
— END OF TRANSMISSION —
© 2026 Jhashank Nayan · profile.ops ▸ profile views

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