Introduction
Work Experience
Competitions
Tech Stack
Asia/Ulaanbaatar
English
Mongolian
Sukhtumur is a Ulaanbaatar-based AI engineer who specializes in turning complex data challenges into streamlined, intelligent solutions. By combining advanced machine learning techniques with user-centric design, his work bridges digital interfaces, interactive experiences, and the convergence of design and technology.
Work Experience
Data Science InternSummer 2022
- Developed conversational AI systems using Rasa and custom NLP pipelines.
- Assisted in deploying scalable dialogue orchestration frameworks integrated with banking APIs.
- Contributed to evaluation, testing, and CI pipelines ensuring reliability and compliance.
ERP & Backend DeveloperAutumn 2022 – Winter 2023
- Architected ERP infrastructure for financial institutions, enabling distributed data synchronization.
- Implemented microservices for secure payment processing and analytics.
- Developed ML-driven fraud detection systems using engineered transaction features.
Data Analyst InternSpring 2023
- Designed HR analytics frameworks incorporating regression modeling and clustering.
- Built predictive models for workforce optimization and automated dashboards.
- Supported deployment of ML-based recommendation systems for retail optimization.
Asahi and Super TaikyuSummer 2023
AI Specialist- Developed real-time computer vision systems using TensorFlow.js, YOLOv8, and Vision Transformers.
- Achieved higher FPS via quantization and streaming inference optimizations.
Fullstack EngineerAutumn 2023 – Winter 2025
- Built trading and compliance systems integrating AI portfolio optimization and anomaly detection.
- Developed compliance chatbots and predictive advisory modules.
Oyu IntelligenceOct 2024 – Present
Co-founder & CTO- Directed architecture and development of agentic AI platform for enterprise workflows.
- Designed multi-agent collaboration and automation framework integrated with hybrid vector databases.
Independent & Freelance AI EngineerJan 2025 – Present
AI Systems Developer- Deployed RAG-based systems and autonomous AI agents for enterprise clients.
- Delivered AI automation for legal and consulting firms (retrieval, summarization, compliance).
Mandal GroupAug 2025 – Present
AI Engineer- Architected ERP-integrated RAG system for enterprise knowledge access.
- Automated health insurance workflows via retrieval-augmented AI.
- Built AI-driven insurance claim process automation with automated claim report generation.
- Developed English↔Mongolian neural translation systems for internal enterprise use.
- Implemented document processing and recognition pipelines using CNNs and OpenCV.
- Designed and deployed multi-agent AI systems for task orchestration and decision automation.
Competitions
TechCrunch Disrupt Startup BattlefieldAug 2025
Finalist- Presented AI platform for agentic collaboration in enterprises.
JCI ASPAC Creative Young EntrepreneurJun 2025
Finalist- Built RAG pipelines and agent frameworks for consulting and legal domains.
Tech Stack
Core ML & AIDeep Learning, Reinforcement Learning, Probabilistic Models, Graph Neural Networks, Generative Models, Transformers, Diffusion Models
Frameworks & LibrariesPyTorch, TensorFlow, JAX, HuggingFace Transformers, Scikit-learn, ONNX Runtime
Agentic & Reasoning SystemsMulti-Agent Systems, Planning & Reasoning Engines, LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen
RAGFAISS, Qdrant, Weaviate, Milvus, pgvector, Elasticsearch
MLOps & DeploymentFastAPI, Docker, Kubernetes, Ray, MLflow, Weights & Biases
Data & SystemsApache Spark, Kafka, Airflow, Delta Lake, Parquet
Programming & ToolsPython, C++, Julia, SQL, Git
Research InterestsAgentic AI, RAG Architectures, Local-first AI, Knowledge Graphs, Federated Learning, Scalable AI Infrastructure, AI Safety & Ethics