CIVIL & STRUCTURAL ENGINEER
B.Sc. Civil Engineering graduate from IUBAT, specialising in structural analysis, BNBC 2020 compliance, seismic design, and ML-driven geotechnical research. Actively seeking entry-level structural design or construction management roles.
I am a final-year B.Sc. Civil Engineering student at IUBAT — International University of Business Agriculture and Technology, Dhaka, with a deep focus on structural analysis and design. My academic journey has equipped me with strong theoretical foundations and hands-on experience with industry-standard tools.
From designing a full 10-storey residential building in ETABS to applying machine learning (XGBoost, RF, ANN, DNN) for geotechnical parameter prediction, I bridge traditional civil engineering with modern computational methods.
I hold an ArcGIS certificate, participated in CENOVUS 1.0, and conducted field research on beam-column joint construction quality across residential buildings in Dhaka.
Specialised in RC structural design, seismic analysis, load calculation, and BNBC 2020 code compliance using ETABS and manual methods.
Applied XGBoost, RF, ANN & DNN to predict geotechnical shear strength parameters.
ArcGIS certified — spatial analysis and infrastructure mapping workflows.
IUBAT — International University of Business Agriculture and Technology
Dhaka, Bangladesh
KEY FOCUS
HIGHLIGHTS
Armed Police Battalion Public School & College
Bogura, Bangladesh · Science Group
Bhalshon High School
Bogura, Bangladesh · Science Group
RELEVANT COURSEWORK
Analysis & Code Compliance
CAD & Spatial Tools
ML & Technical Analysis
ALL COMPETENCIES
Academic and independent projects demonstrating structural design competence, research depth, and practical fieldwork.
Full structural analysis and design of a 10-storied RC residential building using ETABS per BNBC 2020. Covered load analysis (dead, live, wind, seismic), beam-slab-column design, foundation design, and complete AutoCAD structural drawings.
Benchmarked four ML models — XGBoost, Random Forest, ANN, and DNN — to predict geotechnical shear strength parameters (c, φ) from soil index properties, applied to river embankment slope stability in Bangladesh.
Field investigation of beam-column joint detailing and construction quality across residential buildings in Dhaka, incorporating project management best practices and identifying non-compliant detailing patterns that compromise structural integrity.
Dhaka, Bangladesh
Hands-on construction site observation covering site supervision, reinforcement detailing inspection, concrete casting procedures, quality control protocols, and project scheduling. Gained direct exposure to real-world construction challenges in a multi-storey building project context in Dhaka.
IUBAT Civil Engineering Department
Conducted independent undergraduate research combining geotechnical engineering with machine learning. Collected and preprocessed soil data, trained and validated four predictive ML models (XGBoost, RF, ANN, DNN), and applied results to river embankment slope stability assessments relevant to Bangladesh's delta geography.
JRC Memorial · IUBAT
Participated in the inaugural CENOVUS 1.0 civil engineering contest (JRC Memorial) — a competitive event testing structural design knowledge, analytical problem-solving, and teamwork under real exam conditions. Received official participation certificate.
ESRI / ArcGIS Platform — GIS & Spatial Analysis
ArcGIS workflows, spatial data management, mapping, and infrastructure analysis — applicable to site selection, flood mapping, and geospatial planning.
JRC Memorial Civil Engineering Contest · IUBAT
Official certificate from the inaugural CENOVUS civil engineering contest testing structural knowledge and problem-solving capabilities.
IUBAT — International University of Business Agriculture and Technology
Graduating with specialisation in structural analysis, geotechnical engineering, and ML-driven research applications in civil engineering.
Actively seeking entry-level structural design and construction management roles in Dhaka. I respond within 24 hours.
farbis22@gmail.com
PHONE
+880 158 0578940
mdfarbisrahman
LOCATION
Dhaka, Bangladesh