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Lkhanaajav Mijiddorj

Available Now | Full-Stack & Agentic AI Engineer | AI/ML Systems, Backend & MLOps | Python, PyTorch, C++, AWS/GCP | IMO Silver Medalist
Completa · Austin, Texas Metropolitan Area · engineer
IMO 2018 Silver Medalist Representing MongoliaFull-Stack & Agentic AI Engineer At Completa (AI Home-services Platform)MS Electrical & Computer Engineering And BS Computer Science, University Of Oklahoma

I’m a Full-Stack & Agentic AI Engineer available now for full-time roles in AI engineering, software engineering, backend engineering, and applied ML. I build production AI systems end-to-end: agentic workflows, ranking and matching systems, ML pipelines, backend APIs, cloud infrastructure, and low-latency model serving. At Completa, I built full-stack and AI systems for an AI-powered home services platform, including project intake, scope generation, contractor matching, estimation, job management, milestones, payments, and project records. My background combines startup engineering, machine learning research, and strong mathematical problem-solving. I have built systems with Python, C++, PyTorch, Docker, Linux, AWS, GCP, REST APIs, data pipelines, embeddings, recommender systems, statistical modeling, and MLOps. Previously, I worked on autonomous perception, semantic segmentation, monocular depth estimation, multi-modal sensor fusion, IoT data pipelines, and predictive modeling.

Lkhanaajav Mijiddorj is a Mongolia-born software/AI engineer based in the Austin, Texas area. He competed for Mongolia at the International Mathematical Olympiad in 2017 (Honourable Mention) and 2018 (Silver Medal). He earned a BS in Computer Science and an MS in Electrical and Computer Engineering at the University of Oklahoma, and has worked as a full-stack/AI engineer (Completa), a graduate researcher and IT specialist (University of Oklahoma), and interned at the Mongolian Securities Exchange.

Details
LocationAustin, Texas Metropolitan Area
UniversityUniversity of Oklahoma
PythonC++PyTorchDockerLinuxAWSGCPREST APIsdata pipelinesembeddingsrecommender systemsstatistical modelingMLOpsdeep learningcomputer visionmonocular depth estimationsemantic segmentationmulti-modal sensor fusionIoT
Notes
  • Quant employment verification: NOT CONFIRMED. No role or internship at any quantitative investment, trading, market-making, hedge-fund or systematic/algorithmic trading firm was found in any source. The only finance-sector employer is the Mongolian Securities Exchange (the national stock exchange, a market operator, NOT a quant trading firm), where he held a Software Developer Internship (2022) and later a Data Scientist role (2023) doing data wrangling and exploratory data analysis. No bank, asset-manager, energy or crypto trading, or quant-desk employment appears.Jan 2023
  • Identity confirmed: Lkhanaajav Mijiddorj competed for Mongolia at the IMO in 2017 (Honourable Mention, rank 416, 12 pts) and 2018 (Silver Medal, rank 87, 28 pts); the linkedin.com/in/lhanaa headline self-describes as 'IMO Silver Medalist', matching the olympiad record.Jul 2018
  • Career timeline (index-only reading of the LinkedIn profile): Software Developer Internship, Mongolian Securities Exchange (2022, Ulaanbaatar) -> IT Specialist, University of Oklahoma (2022-2024, Norman OK) -> Research Assistant, University of Oklahoma (2023) -> Data Scientist, Mongolian Securities Exchange (2023, Ulaanbaatar) -> Graduate Researcher, University of Oklahoma (2024-2026) -> Full-Stack & Agentic AI Engineer, Completa (2025-present, Austin TX). All entries are year-granular; no months are given, so no exact dates are asserted.Jan 2024
  • Employer classification: 'Mongolian Securities exchange' / 'Mongolian Exchange Security' is the national stock exchange of Mongolia, a market operator rather than a quantitative fund or trading house; the roles there were software development and data analysis, so they are not quantitative-finance employment.Jan 2023
  • GitHub profile (github.com/Lkhanaajav, avatar id 78056899) shares the identical headline and 'IMO Silver Medalist' marker as the LinkedIn profile, cross-confirming the two accounts are the same person.Jan 2026
  • Education: University of Oklahoma - MS Electrical & Computer Engineering (2024-2026) and BS Computer Science (2020-2024); earlier International Baccalaureate (2018-2020) at The Armand Hammer United World College (UWC-USA), a scholarship-based international boarding school, consistent with the Davis UWC Scholars Program.Aug 2020
  • Index-only claim: the work history, education, headline, summary and connections above were read from a person-index record keyed to linkedin.com/in/lhanaa (_source local_index), not from the LinkedIn page itself; the profile is separately confirmed live by search ('LKHANAAJAV MIJIDDORJ - Available Now | Full-Stack & Agentic AI Engineer').Jan 2026
  • Aggregator listing describes him as 'Co-Founder & AI Engineer' (ZoomInfo), but this is an aggregator claim; LinkedIn lists only 'Full-Stack & Agentic AI Engineer' at Completa, so founder status is not independently confirmed.Jun 2025
  • Completa role: helped build and launch Completa, a two-sided home-services platform (intake, scope generation, contractor matching, estimation, job management, payments) - an AI/software product, not a trading or financial system.Jan 2025
  • Scholarly output as a University of Oklahoma researcher: ML-enhanced NDIR methane sensing, an IoT smoking-detection architecture, monocular sidewalk path extraction, and a tool-grounded LLM multi-agent framework for methane-emission analysis; indexed on DBLP, ORCID (0009-0003-1106-8596), IEEE Xplore and ResearchGate.Jan 2025
  • Undergraduate thesis project 'live_test_scooter_project' (github.com/Lkhanaajav) implements lightweight ML-driven monocular sidewalk path extraction for embedded micromobility navigation, matching his published work on the same topic.Jan 2024
  • Certifications are all ML/AI course credentials (Attention Mechanism, Encoder-Decoder Architecture, Generative AI Explorer - Vertex AI, Transformer Models and BERT, Supervised ML Regression & Classification), indicating self-directed deep-learning training rather than any finance credential.Jun 2024

Competition record

Mongolia · IMO

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