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Geotechnical & Foundations
Subsurface characterization, shallow and deep foundations, settlement evaluation, difficult ground conditions, and foundation design support.
Geotechnical Engineering | AI & Computational Intelligence
Engineering the ground.
Advancing intelligence.
Rakam Lama Tamang is a Senior Geotechnical Project Manager with over 14 years of experience in civil and geotechnical engineering and construction. His work spans geotechnical investigation, ground improvement, foundation design, and geohazard assessment across complex geological settings and international projects. He has led and supported projects ranging from small assignments to large design-build infrastructure, including mentoring junior engineers.
Transportation & Bridges
Geo-structural Design
Ground Improvement
Python & ML Automation
Geotechnical & infrastructure leadership
Expertise includes shallow and deep foundation analysis, geo-structural design, slope stability, excavation support, grouting design and construction oversight, dredging impacts on shoreline structures, sinkhole mitigation, and complex ground conditions involving soft, karstic, expansive, corrosive, and collapsible soils.
AI research & engineering intelligence
Ph.D. research on machine learning, deep learning, physics-informed neural networks, and uncertainty quantification. Applied approaches include RAG, LLM-based retrieval, anomaly detection, clustering, PCA, reinforcement learning, and automated construction-quality analysis.
14+Years of experience
Ph.D.Civil Engineering
PELicensed in multiple states
14+Peer-reviewed papers
EducationPh.D. · Temple University (2025) / M.S. · Southern Illinois University (2014) / B.S. · Tribhuvan University (2010)
Credentials & leadershipProfessional Engineer: VA, NC, NJ, NY, PA & MD · OSHA 40-hour HAZWOPER · OSHA 30-hour Construction · ASCE Grouting Committee
ENGINEERING INTELLIGENCE01 / 03
Design. Analyze. Innovate.Foundation systems & computational engineering
Rakam Lama Tamang, PE
Senior Geotechnical Engineer · Project Manager · AI Researcher
Specialist perspective
- Deep and shallow foundation systems
- Excavation support and geo-structural engineering
- Ground improvement and grouting design
- Physics-informed modeling and data-driven workflows
01 — Areas of expertise
Deep engineering expertise.
Broader perspectives.
From subsurface investigations to intelligent engineering systems, the work combines practical field understanding with advanced analysis and digital problem-solving.
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Geo-structural Design
Excavation support, retaining systems, slope stability, grouting, and numerical analyses using 2D and 3D tools.
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AI & Engineering Automation
Machine learning, uncertainty quantification, anomaly detection, Python automation, and intelligent workflows for engineering data.
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Infrastructure Delivery
Transportation, bridges, dams, levees, transmission structures, pipelines, sediment remediation, and renewable energy projects.
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Technical Leadership
Project management, design review, technical oversight, multidisciplinary coordination, and mentoring junior engineers.
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Digital Geotechnics
PLAXIS 2D/3D, MATLAB, Python, ArcGIS Pro, SLOPE/W, DeepEX, OpenGround, and analytical dashboards.
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LLM Evaluation
Assessing large language model responses for accuracy, relevance, factual grounding, robustness, and consistency in technical knowledge workflows.
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Retrieval-Augmented Generation (RAG)
Retrieval-driven AI workflows connecting technical documents, structured engineering knowledge, and language model responses.
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Agentic AI
Exploring tool-using AI agents, multi-step task orchestration, and human-in-the-loop automation for engineering processes.
02 — Selected projects
Engineering in practice.
Representative work spanning transportation, foundations, marine and shoreline systems, geo-structural design, and digital engineering.
Featured project
Massport Logan Airport · Foundation systems and digital engineering
A high-complexity geotechnical engagement involving very soft ground conditions, settlement assessment, deep foundation design, advanced PLAXIS analyses, and construction-stage decision support.
106 ftSoft soil depth evaluated
3DNumerical analyses applied
QA/QCInstallation tracking and anomaly review
Some project descriptions are intentionally concise or generalized to protect confidential details while still communicating the scope and type of engineering work.
03 — Research & technology
Where engineering
meets intelligence.
Research and development work focused on AI applications in geotechnical engineering, predictive modeling, knowledge workflows, and engineering analytics.
Physics-informed & deep learning
Development of data-driven and physics-guided models for complex geo-engineering phenomena, including turbulent jet grout flow and uncertainty-aware prediction.
Construction data intelligence
Methods for outlier detection, quality control, installation tracking, and faster analysis of field data from geotechnical construction activities.
AI-powered knowledge workflows
Retrieval-augmented generation (RAG), LLM evaluation, agentic AI workflows, clustering, PCA, and scalable Python pipelines for engineering knowledge systems.
Featured engineering automation
Jet grouting and installation data workflows
A combination of scripting, dashboards, and analytical workflows to review installation data, compare field parameters, visualize trends, and accelerate quality checks.
04 — Scholarly work
Search publications & research.
Browse selected journal articles and conference papers related to AI-enabled geotechnical engineering, jet grouting, risk assessment, and computational analysis.
Physics-informed neural network for the simulation of turbulent jet grout flow
2026 · Acta Geotechnica
View publication ↗05 — Background
Experience grounded
in curiosity.
Applying analytical rigor and innovation to geotechnical challenges across diverse terrains, sectors, and delivery models.
Education
Ph.D. · Civil Engineering
Temple University · December 2025
M.S. · Civil Engineering
Southern Illinois University · 2014
B.S. · Civil Engineering
Tribhuvan University · 2010
Professional licensure
Professional Engineer (PE)
Licensed in:
New York
New Jersey
Pennsylvania
Maryland
Virginia
North Carolina
Professional engagement
ASCE Grouting Committee · Peer-reviewed journal and conference publications · Technical mentorship and project leadership.
Software & digital toolkit
PLAXIS 2D
PLAXIS 3D
SLOPE/W
DeepEX
LPile
PY Wall
GROUP
OpenGround
gINT
MATLAB
Python
ArcGIS Pro
AutoCAD
06 — Digital lab
Apps & engineering tools.
A growing collection of tools and experiments. Only apps explicitly published from the private workspace appear here.
Engineering apps and demos will appear here when published.
Connect & collaborate
Let’s solve a complex challenge.
Open to thoughtful conversations around geotechnical engineering, digital engineering workflows, infrastructure delivery, and applied AI.