Achievements: • Spearheaded an autonomous Multi-Agent System using Agentic-Physical AI to automate the full lifecycle of multi-story building construction (from design through closeout) - achieving a 71% acceleration in timelines and an 88% reduction in coordination errors. https://www.sciopen.com/article/10.26599/JIC.2026.9180111. • Directed the development and deployment of a hybrid ML (CNN-SVM-RF) AI-Agent for automated railway subgrade frost heave diagnosis - reducing soil diagnostic and lab analysis costs by 43% and processing time by 64%. https://link.springer.com/article/10.1007/s43503-025-00072-8. Key duties: • Oversee full-cycle development and delivery of AIaaS/SaaS products, directing roadmap creation, technical design, scalable deployment, and post-release optimization across complex operational environments • Manage multidisciplinary engineering, AI, Cybersecurity and DevOps teams, establishing high technical standards, fostering a culture of innovation, and ensuring reliable execution of mission-critical digital systems. • Govern the design of cyber-secure Multi-Agent Systems based on Agentic–Physical AI, integrating digital twins, predictive analytics, and automation to improve enterprise coordination, throughput, and resilience. • Drive enterprise integration, partnerships, and AI governance, embedding AI into ERP/CRM/PLM workflows, defining KPIs and performance metrics, and ensuring continuous performance assessment through A/B testing, data analytics, and ROI-driven iteration cycles. • Conduct industry-level strategic analysis and R&D to evaluate the impact of automation on business efficiency, human-AI collaboration, and interdepartmental decision coherence.

● Led end-to-end delivery of AI-driven and digital transformation projects in capital construction, manufacturing and R&D, overseeing scope, technological requirements, and execution to automate the full lifecycle of project and operational management. ● Directed the design and implementation of enterprise software solutions (SaaS/AIaaS/ERP/HRIS), coordinating cross-functional engineering, analytics, design, AISecOps, and product teams to ensure on-time, scalable, and cost-efficient system deployment. ● Drove strategic communication and negotiations with B2B stakeholders and industrial partners, securing key integrations, aligning expectations, and ensuring high-value collaboration throughout the project lifecycle. ● Established project governance frameworks and delivery controls, including technical specifications, roadmap planning, Agile workflows, KPI tracking, Jira-based execution oversight, and iterative performance optimization. ● Supervised integration of AI agents and automation modules into existing IT ecosystems, conducting feasibility studies, running A/B tests, and ensuring seamless interoperability across ERP, CAD/BIM, HR, and project management platforms. Achievements: ● Led the integration of an AI-Agent with Microsoft Project to automate key project management functions, resulting in a 62% reduction in project time-to-execution. ● Directed development and enterprise deployment of an AI-driven CAD-to-BOQ engine that auto-parsed Civil/MEP/Architectural drawings to generate quantities, cost models, and bidding packages — cutting estimation time by 45% and reducing project delivery costs by 52%. ● Designed and implemented an automated HR decision-support system with rule-based ranking and ML shortlisting, reducing screening time by 65% and improving candidate–role matching accuracy across all hiring stages.

● Directed engineering coordination and technical due diligence across all design stages, reviewing vendor/subcontractor drawings, detecting design inconsistencies, and issuing Engineering Site Instructions (ESIs) to ensure that BAS elements and industrial building systems met structural, electrical, fire-safety, and industrial-facility requirements. ● Led procurement and logistics for critical facility systems — including MV switchgear, UPS units, PDU systems, fire and security networks, HVAC modules, and IT-infrastructure components — ensuring on-time delivery to manufacturing and construction sites and maintaining uninterrupted assembly flows for BAS-driven industrial buildings. ● Oversaw integrated project planning and execution in MS Project, SAP, Bitrix24, and Jira, controlling engineering deliverables, schedule integrity, risks, and change-management processes to ensure predictable, high-velocity realization of industrial infrastructure projects. ● Managed the preparation and issuance of tender and contracting packages for engineering, construction, and site-remediation works, evaluating subcontractor capabilities, performance metrics, and cost structures to support the company’s full-cycle model (investor–developer–engineer–general contractor). ● Conducted systematic risk and opportunity assessments (technical, economic, and contractual) on-site and at the design stage, ensuring compliance with acceptance criteria, validating scope variations, and safeguarding the speed, modularity, and constructability advantages of the Building Assembly Set technology.

● Directed end-to-end project delivery, overseeing budgeting, scheduling, technical administration, and stakeholder coordination to consistently complete projects ahead of schedule and within cost targets. ● Led multidisciplinary engineering design workflows, applying Abaqus, AutoCAD, Civil 3D, Python modelling, and topology-optimized FEA to produce efficient, compliant, and high-integrity structural solutions. ● Managed project execution and organizational control, administering MS Project, Bitrix24 and Jira to govern task allocation, monitor progress, mitigate risks, and enforce deadline discipline across all teams. ● Optimized procurement and site readiness, coordinating equipment acquisition, supplier management, and material logistics to ensure continuous construction flow and cost-efficient resource allocation. ● Oversaw field investigations and technical quality assurance, supervising mechanical testing, validating geotechnical and engineering geology models, and delivering all design and drafting documentation to state standards. Achievements: ● Initiated AI-driven automation for multi-storey building construction, cutting labour and construction costs by 52%. ● Optimized construction dewatering and earthworks processes, reducing overall project timelines by 47%. ● Integrated AI-based design automation workflows with the project BIM ecosystem, improving design accuracy and decision-making efficiency.

● Performed rainfall–runoff, infiltration, and watershed modeling using hydrologic simulation tools, evaluating how storm intensity, soil properties, and land-use shifts affected drainage network capacity and sewer system performance. ● Designed site-specific drainage, infiltration, and hydraulic conveyance systems (trenches, swales, culverts), supported by SolidWorks and AutoCAD for accurate geometry, flow routing, and constructability verification. ● Worked within interdisciplinary engineering teams to resolve water-resource and hydraulic design issues, contributing hydraulic calculations, sewer sizing, and flow-regulation solutions for District planning and permitting studies. ● Coordinated directly with clients, contractors, and permitting authorities, delivering regulatory-compliant drawings and technical documentation and ensuring that design decisions, materials, and installation plans were aligned with project requirements and field constraints. Achievements: ● Engineered and implemented infiltration systems (subsurface flow trenches and proprietary permeable surfaces) that reduced the required drainage footprint by 20% while successfully meeting all 100-year storm event runoff capacity mandates. ● Introduced high-performance polymer composite materials into the manufacturing process, which simultaneously reduced overall material costs by 18% and increased production output by 45%.

● Directed end-to-end product and technology strategy, taking the Geophysical DaaS platform from concept to commercialization to secure early market leadership in automated subsurface intelligence. ● Built operational infrastructure, establishing standardized field workflows (logistics, QA, safety) that enabled scalable service delivery and predictable turnaround times across the sites. ● Led the integration of deep learning (SVMs, CNNs) into the core product, transforming raw sensor data into high-value digital assets to drive competitive differentiation and client ROI. ● Drove cross-functional alignment between engineering, data science, and commercial teams, ensuring technical capabilities directly supported revenue goals and the "Soil Digital Twin" ecosystem. Achievements: ● Constructed a scalable field operations network from scratch, securing strategic hardware partnerships and defining lean deployment protocols that delivered 120km+ of coverage while cutting geotechnical assessment costs by 40%. ● Codified operational SOPs and QA frameworks, slashing field data re-acquisition rates to <1% (industry avg ~10-15%) and ensuring 100% data utility for downstream model training. ● Transformed the technical roadmap into a commercial DaaS strategy, establishing a client-R&D feedback loop that accelerated feature release cycles by 50% (from months to weeks).