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〔 ∞   UNLIMITED VOID   ∞ 〕 —  whoami

const ashutosh: CursedTechnique = {
  name:       "Ashutosh Yadav",
  location:   "Dublin, Ireland 🇮🇪",
  education:  "MSc Computer Science @ University College Dublin",
  role:       "Full Stack Software Engineer",
  domain:     "∞  Throughout Terminals and Deploys, I Alone Push to Production  ∞",
  stack:      ["Python / FastAPI", "React / Next.js", "AWS", "Docker", "PostgreSQL"],
  interests:  ["FinTech", "AI Systems", "Distributed Architecture", "Data Engineering"],
  experience: ["Capgemini — Software Engineer", "Morningstar — Data Analyst"],
  available:  "Internship opportunities from June 2026",
};

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Cursed Technique — Tech Stack

AI & Data

Full Stack

Databases & Cloud

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Featured Projects

🔍 SnapSearch Semantic Search Engine RAG pipeline using Florence-2 vision model for multi-modal embedding generation. Sub-millisecond vector retrieval via FAISS HNSW indexing. Fully containerised on Docker. → View Project	📊 Econometric Pipelines Financial Time-Series Analysis Automated data pipelines for macroeconomic forecasting. Applied ARIMA & VAR models to model inflation dynamics. Structured outputs for financial decision-making. → View Project
🤖 Local LLM Stack Private AI Deployment Infrastructure Self-hosted LLM environment (Llama 3, Mistral) via Ollama & Docker. Python API wrappers for internal text processing. Scripted for rapid deployment and team adoption.	✈️ AetherWings Distributed Booking System High-concurrency booking engine with event-driven architecture via RabbitMQ. ACID-compliant data integrity. Full microservices setup with Spring Boot. → View Project

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💼 Previous Battles — Experience

	Role	Company	Highlights
⚔️	Software Engineer	Capgemini	Enterprise SaaS · Sony & Universal · Backend automation
📊	Data Analyst Associate	Morningstar, Inc.	Corporate finance data · Routing efficiency · Data reliability

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「 In this world, no matter the domain — bugs fear me. 」

MSc Computer Science · University College Dublin · Available June 2026