Зареєструватися
  • Файл

Дима

Python-програміст

Розглядає посади:
Python-програміст, AI, LLM developer, Back-end програміст
Вік:
31 рік
Місто проживання:
Київ
Готовий працювати:
Дистанційно

Контактна інформація

Шукач вказав телефон .

Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.

Завантажений файл

Версія для швидкого перегляду

Це резюме розміщено у вигляді файлу. Ця версія для швидкого перегляду може бути гіршою за оригінал резюме.

Khaver Dmytro
Python AI Engineer
[відкрити контакти](див. вище в блоці «контактна інформація») q [відкрити контакти](див. вище в блоці «контактна інформація») q https://github.com/VictoriousAttitude
 Ukraine

KEY SKILLS
Python, FastAPI, Django, LangChain, LlamaIndex, PyTorch, ONNX Runtime, Celery, Redis, pgvector, ChromaDB, Qdrant,
sentence-transformers, Claude/OpenAI APIs, Docker, Kubernetes, Firebase, GraphQL, Security Auditing, APK Reverse
Engineering, Kotlin, Android NDK, C++, WebRTC, WebSockets, gRPC

EXPERIENCE
07/2024 - 05/2026 Full Stack Developer (python/mobile)
Riga, Latvia (remote) Nitra
• Architected end-to-end NFC relay system for secure payment card emulation across multiple
production environments.
• Implemented Biometric Authentication (Fingerprint, Face ID, device PIN fallback) using
BiometricPrompt API, extracted token refresh, session expiry, and fallback orchestration logic
into a KMP shared module for cross-platform reuse.
• Performed security analysis and APK reverse engineering using jadx and apktool for competitive
product research.
• Implemented Host Card Emulation (HCE) supporting 5 NFC protocols(NfcA, NfcB, NfcF, NfcV,
IsoDep) with real-time APDU relay.
• Full responsibility of Certificate Security Analysis, APK Signing Security and Security Auditing.
• Developed a Python-based document processing service (LangChain, Claude API, pgvector) for
automated extraction and semantic search across NFC protocol specifications, APDU command
references, and payment scheme technical documents.
• Enhanced and optimized a cross-platform retail inventory application with AI-powered shelf
monitoring. Built the Python inference backend (FastAPI + ONNX Runtime) and implemented a
RAG pipeline (LangChain, ChromaDB) over product catalogs and planogram documents for
natural language shelf compliance queries.
• Built the ML model pipeline (PyTorch -> ONNX -> ONNX Runtime Mobile) for on-device image
recognition on Android, reducing inference latency from ~800ms to ~120ms. Managed model
versioning and OTA updates via custom FastAPI endpoint.
• Integrated vector embeddings (sentence-transformers) into KMP shared modules for cross-
platform semantic product search, replacing keyword-based SKU lookup with AI-powered fuzzy
matching. Optimization of JavaScript code, and native Android enhancements - profiling and
testing on old devices.

01/2025 - 12/2025 Senior Python AI
Netherlands (remote) Contractor for law firm
• Built a production RAG system for a US-based law firm client, processing ~15 years of archived
legal documents (83K contracts, case briefs, memoranda, and regulatory filings). Implemented
layout-aware PDF parsing with OCR fallback for scanned records, section-level chunking
preserving clause boundaries and cross-references, and metadata filtering by practice area,
jurisdiction, and filing date. (Python, LangChain, Claude API, pgvector, FastAPI, Celery/Redis)
• Deployed the ingestion pipeline with Celery workers processing the full document backlog in
batches with incremental index updates for new filings, role-based access control for 40+
attorneys and paralegals, query audit logging for compliance
• Implemented hybrid retrieval combining dense vector search (sentence-transformers, pgvector)
with BM25 keyword matching and cross-encoder re-ranking: reducing average attorney research
time from 2.5 hours of manual document review to under 45 seconds per query across the full
document archive.

09/2021 - 05/2023 Senior Developer (android/python)
Tel Aviv, Israel (remote) Voicenter
• Led Android development team of 2 junior engineers building enterprise VoIP communication
platform: "Voicenter".
• Lead WebRTC implementation and migrated legacy Java codebase to Kotlin, reducing crash
reports by 10%.
• Integrated Google Accessibility Checks into the CI pipeline, automating WCAG contrast, touch
target, and content description validation on every UI test run.
• Ensured all call status indicators met WCAG 1.4.1 (no color-only signalling) and 1.4.3 contrast
ratios, verified with Accessibility Scanner across all app themes.
• Wrote Python automation scripts for VoIP call quality analysis — parsing WebRTC stats logs,
aggregating jitter/packet-loss metrics, and generating weekly reports for the QA team.
• Built internal CLI tooling (Python, Click) for automated APK build distribution and Slack release
notifications, reducing manual release overhead.
• Contributed to the backend call-routing service (Python, FastAPI) — implemented webhook
handlers for call event logging and real-time status sync with the Android client.
EXPERIENCE
01/2020 - 12/2021 Middle Python Developer
England (remote) Artificial Intelligence Castings Ltd
• Built and maintained the ML pipeline for headshot analysis and talent-to-role matching using
computer vision (InsightFace, CLIP)
• Integrated voice profiling for accent/tone classification (Resemblyzer)
• Assisted with data ingestion, model serving and deployment on AWS (Docker, Celery, Redis)
• Developed and maintained RESTful APIs (FastAPI) for talent search, profile ingestion, and casting
brief matching, serving internal and client-facing endpoints.
• Wrote integration tests (pytest) for model endpoints and set up monitoring for inference latency
and embedding drift in production.
• Integrated speech-to-text (Whisper) for automated audition transcription, feeding structured
dialogue data into the matching pipeline.

01/2017 - 12/2019 Junior Android/Python Developer
Los Angeles, US (remote) Bizico (California-based startup)
• Worked in a cross-platform mobile team. Co-developed an Android and IOS applications,
enabling businesses to showcase alcoholic beverages in partner locations.
• Contributed to Android application development with the integration of beacon technology and
participated in intense testing period Bluetooth LE for automated user check-in/out functionality.
• Created dynamic UI that adapted in real-time based on user's location and proximity to Bluetooth
devices, significantly enhancing user experience and app engagement.
• Participated in Android Fingerprint API development for smooth client's authentication
• Joined back end (python) team for the big outsource client: designed and shipped GraphQL
resolvers in Django, migrated legacy REST endpoints to FastAPI, wrote async task workers
(Celery + Redis) for report generation and batch data processing.
• Implemented the reporting pipeline aggregating BLE proximity events into business-facing
analytics — foot traffic, dwell time, product engagement per location — served via FastAPI to a
partner dashboard.

EDUCATION
09/2013 - 06/2017 Bachelor's degree
Computer Software Engineering Kryviy Rih National University

09/2017 - 02/2019 Master's degree
Computer Software Engineering Kryviy Rih Economic Institute

LANGUAGES
English Fluent Russian Native Ukrainian Native

Схожі кандидати

Усі схожі кандидати

Кандидати у категорії


Порівняйте свої вимоги та зарплату з вакансіями інших підприємств: