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Grind machine
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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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Optoed/README.md

Hi, I'm Petr 👋

I'm a Go Backend Developer, CS student at Saratov State University, and a software engineer focused on backend systems and applied AI.

Currently working as a Go backend developer in the investment domain.

I build backend services, search systems, recommendation engines and small AI-powered products. Not just apps that move JSON from one place to another — I like software that ranks, recommends, plans, understands intent and helps people move forward in their lives.

What I build

  • Backend systems with Go, PostgreSQL, Redis, Kafka and clean service architecture.
  • Search and recommendation engines using Elasticsearch, BM25, embeddings and ML-based reranking.
  • Applied AI products where models are not just demos, but part of a working pipeline.
  • Computer vision / multimodal projects with CLIP, VLMs and image retrieval.
  • Tools with a bit of character — software should be useful, but it does not have to be boring.

Current focus

  • Go backend engineering: APIs, databases, microservices, testing and reliability.
  • Applied ML/NLP: semantic search, recommendation systems, ranking and embeddings.
  • MLOps-ish engineering: turning notebooks and experiments into services.
  • Product thinking: building systems that solve real user problems, not just pass a checklist.

Featured projects

Habr Search Engine

Search engine for Habr articles with Elasticsearch, spell-check, SERP labeling, ML reranking and IR metrics.

Stack: Python, Elasticsearch, scikit-learn, pandas, DeepSeek API, Yandex Speller API Focus: search quality, ranking, relevance labeling, evaluation

Avito VLM Engine

Multimodal pipeline for finding similar clothing items on Avito: outfit photo → VLM item extraction → CLIP search → top-k listings.

Stack: Python, PyTorch, CLIP, VLM, Google Colab, image retrieval Focus: visual search, multimodal AI, product search

Become Overman — Backend + Recommendation System

Backend and recommendation microservice for a gamified self-development platform with quests, XP, coins, AI planning and semantic recommendations.

Stack: Go, Gin, PostgreSQL, JWT, Python, FastAPI, sentence-transformers Focus: backend architecture, gamification, semantic search, recommendation systems

VKGraph

Go service for finding the shortest connection path between VK users using VK API and bidirectional BFS.

Stack: Go, VK API, gorilla/mux, graph algorithms Focus: social graph, shortest path, bidirectional BFS

Tech stack

Backend

Go PostgreSQL Redis Kafka REST API gRPC

AI / ML / Search

Python FastAPI PyTorch scikit-learn Elasticsearch Transformers

Frontend / Mobile

JavaScript TypeScript React HTML5 CSS3 Dart Flutter

DevOps / Tools

Docker Kubernetes GitLab CI CI/CD Git

Other

C++

Contact

yeah, hustle.

Pinned Loading

  1. Avito-VLM-Engine Avito-VLM-Engine Public

    Computer vision image scraper for collecting datasets, preprocessing images, and running experiments in Google Colab

    Python 1

  2. Habr-Smart-Search-Engine Habr-Smart-Search-Engine Public

    Smart search engine for Habr articles with Elasticsearch, ML reranking, LLM-based relevance labeling, and AI tag prediction

    Python 2

  3. BecomeOverman-Quests-Backend BecomeOverman-Quests-Backend Public

    Go backend for a gamified self-development platform with quests, XP, coins, AI planning, and recommendations

    TeX 1 2

  4. BecomeOverman-RecommendationSystem BecomeOverman-RecommendationSystem Public

    FastAPI recommendation service for Become Overman: semantic search, personalized recommendations with sentence-transformers

    Python 1 1

  5. VKGraph VKGraph Public

    Shortest path finder for VK social graph using Go, VK API, and bidirectional BFS.

    Go 1

  6. AlgorithmsOnlineLib AlgorithmsOnlineLib Public

    My coursework for the 6th semester

    TypeScript 1