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Adwerse/README.md

Adam Vakar

AI/ML & Backend Engineering Student Β· Incoming SWE Intern @ Red Hat

LinkedIn Kaggle Email

Background

  • πŸŽ“ 3rd year, BSc Software Design with AI for Cloud Computing Β· TUS Athlone, First Class Honours in Years 1 and 2
  • 🏭 Software Engineering Intern @ Ericsson R&D Β· agent tooling and Cloud RAN test migration, return offer received
  • πŸ† Winner accross 40+ teams, Build for Ireland Hackathon Β· OpenAI x Dogpatch Labs, Dublin AI Week 2026
  • 🎯 Top 8 of 40 teams, GTM Hackathon Β· presented to judges from OpenAI
  • πŸ₯ˆ 2nd Place, Claude Hackathon @ TCD Β· built Voxify, a student feedback platform
  • πŸš€ Selected for Google's Student AI Hackathon 2026 Β· one of ~50 students across Ireland
  • πŸƒ Selected for MongoDB Student Builder Day 2026 Β· from 500+ applicants
  • πŸ“Š Kaggle Dataset Expert Β· ranked #194 of 8,000+, top 2.4% globally
  • πŸ§‘β€πŸ’» Founder & President, Computer Science Society @ TUS Β· 40+ members
  • πŸŽ™οΈ Class Representative Β· elected by the AI & Cloud cohort at TUS

Tech

focus      = ["LLMs & Agents", "ML Engineering", "Backend & Distributed Systems"]
languages  = ["Python", "Go", "Java", "TypeScript", "SQL", "Rust"]
ml_stack   = ["PyTorch", "Scikit-learn", "NumPy", "Pandas", "Hugging Face"]
llm_tools  = ["Anthropic SDK", "OpenAI SDK", "Ollama", "RAG", "Multi-agent systems"]
backend    = ["FastAPI", "gRPC", "Kafka", "PostgreSQL", "pgvector", "MongoDB"]
infra      = ["Docker", "Kubernetes", "Linux", "Git", "Jenkins", "CI/CD"]
learning   = ["QLoRA fine-tuning", "MLOps pipelines"]
GitHub stats Top languages

How I think

I build things to understand how they break. Currently focused on: Backend & Distributed Systems


Joining Red Hat's Agent Operations team in January 2027. Always happy to talk about AI agents, open source and backend systems.

Pinned Loading

  1. Neo-Bank Neo-Bank Public

    πŸ’Ά Neobank built on 6 Go microservices: event-sourced double-entry ledger, transactional outbox over Kafka, sagas with automatic reconciliation, Postgres HA via Patroni, and end-to-end tracing with …

    Go

  2. Mini_LLM Mini_LLM Public

    🧠 Transformer built from scratch β€” RoPE, SwiGLU, KV-Cache, Flash Attention. LLaMA-style architecture in pure PyTorch.

    Python 1

  3. Study-Pilot Study-Pilot Public

    ✈️ A Telegram-native learning system that turns scattered goals, study files, and focus sessions into an adaptive AI-guided roadmap.

    Python

  4. Language-detection-api Language-detection-api Public

    🌐NLP language detection API β€” trained in Jupyter, served with FastAPI, deployed on Railway

    Jupyter Notebook