Profile
Civil engineering student with a strong dual focus in computational geotechnics and autonomous systems. I combine finite element analysis and machine learning to solve geotechnical problems, while also developing real-world robotics solutions — from AUV localization to autonomous surface vehicle navigation. I thrive at the intersection of engineering fundamentals and modern computational tools.
Experience
Research Intern
May 2025 — Present
Indian Institute of Technology Delhi · Prof. Sumeet Kumar Sinha
- Developing an electronic data acquisition device that attaches to hydraulic PRD and rotary rigs used in Standard Penetration Testing (SPT), operating in parallel with existing rig mechanisms without replacing any hardware.
Civil Engineering Intern
Jan 2025 — Apr 2025
Limra Developers · Aligarh, India
- Assisted in on-site execution of residential and commercial projects, including RCC works, formwork, and finishing activities.
- Supported quantity take-offs, BOQ preparation, and material estimation for ongoing construction projects.
Projects
Prediction of Foundation Settlement Using
Hybrid FEA–ML Framework
Tools: OptumG2 · Pandas · scikit-learn · XGBoost
- Performed 50+ finite element simulations in OptumG2 to model immediate settlement of strip footings under drained soil conditions with varying parameters.
- Trained an XGBoost-based ML model for predicting immediate settlement of shallow foundations using FEA-generated data, achieving R² > 0.92 and mean absolute error < 8%.
- Validated model predictions against real field case-history data, demonstrating strong agreement with observed behavior.
AUV Localization and Control System
Tools: PyTorch · OpenCV · IMU Sensors · PID
Control
- Developed an Autonomous Underwater Vehicle (AUV) localization and control system integrating IMU data with control feedback for motion estimation.
- Implemented PID-based depth control for stable underwater navigation in low-visibility conditions.
- Trained and integrated a custom SuperPoint detection model with visual–inertial cues to improve localization and pose estimation.
GIS-Based Spatial Analysis for
Infrastructure Planning
Tools: QGIS · Python · GeoPandas · Rasterio ·
OpenStreetMap
- Conducted GIS-based multi-criteria spatial analysis over a 100–200 km² study area to identify optimal zones for infrastructure development.
- Generated weighted suitability maps integrating terrain slope, soil constraints, land-use restrictions, and road proximity, reducing unsuitable land identification by 40%.
Education
B.Tech in Civil Engineering
Aligarh Muslim University — Zakir Husain College
of Engineering & Technology
Sept 2024 – Present · Aligarh, India
Senior Secondary Education
Saiyyid Hamid Senior Secondary School
2022 – 2024
Secondary Education
St. Fidelis Senior Secondary School
2010 – 2022