Rakshith Chandra Shekar
Open to graduate roles · Dec 2027Final-year Computer Science student at the University of Sydney (graduating Dec 2027), building SAP RAP apps on SAP BTP and applying deep learning research — open to graduate technology roles anywhere in Australia from Dec 2027.
- SAP RAP apps built
- 2
- ABAP Unit tests passing
- 18/18
- ATC findings
- 0
Computer Science student at the University of Sydney (graduating Dec 2027), with hands-on experience building and deploying real enterprise systems.
Two SAP ABAP Cloud applications built and deployed on SAP BTP, plus co-authored applied machine learning research. Comfortable across the full engineering lifecycle — design, build, test, deployment — backed by proven leadership managing 22-person teams and cross-functional stakeholders.
- SAP systems built and deployed
- 2
- 22-person committee led as President
- 22
- CNN architectures benchmarked in research
- 4
SAP RAP business objects, a control-room dashboard, and applied deep learning research.
AssetPulse
SAP Plant Maintenance-Style Asset System · Mining
An SAP Plant Maintenance-style asset maintenance system for mining operations, built on real SAP RAP business objects with a dark-themed Next.js control-room frontend and a Python FastAPI analytics service. Models the full lifecycle — fault reported → triaged into a work order → scheduled → executed — with MTTR, availability %, and downtime surfaced on a live dashboard.
- ABAP Unit tests
- 12/12
- linked services
- 2
- live KPIs
- 3
- ATC findings
- 0
Hosted demo uses sample data; backend built and tested on SAP BTP ABAP Environment.
ProcureFlow
SAP ABAP Cloud Procurement Workflow
An end-to-end RAP business object on SAP BTP ABAP Environment implementing a procurement requisition-to-purchase-order approval workflow — data modelling, business logic, service exposure, and unit testing across 17 activated objects.
- objects
- 17
- RAP actions
- 4
- ABAP Unit tests
- 6/6
- ATC findings
- 0
Hosted demo uses sample data; backend built and tested on SAP BTP ABAP Environment.
Brain Tumour Classification
Deep Learning · CNN Benchmark Study
A deep learning study (co-authored with Sneha Sinha, University of Sydney) benchmarking 4 CNN architectures — ResNet50V2, InceptionV3, VGG16, and a custom Advanced Residual CNN — across 7,023 brain MRI scans spanning 4 tumour classes.
- MRI scans
- 7,023
- architectures
- 4
- test accuracy
- 95.5%
- F1-score
- 0.95
Guest Relations Representative
BridgeClimb
- Deliver safety-critical customer service to international visitors in a high-pressure, time-constrained environment.
- Manage group logistics and give clear instructions to large groups.
Peer Mentor
University of Sydney
- Support new Computer Science students with academic guidance and transition advice.
- Translate technical concepts into clear, accessible explanations for students new to the degree.
President, Student Council
Manipal Academy of Higher Education
- Led a 22-person student committee to plan and run 17 campus events for a student body of 800+.
- Coordinated budgets, vendors, and cross-team logistics across the full event calendar.
Languages
- Python
- Java
- C / C++
- SQL
- R
AI / ML
- CNNs
- Transfer Learning
- ResNet / VGG / InceptionV3
- TensorFlow / Keras
- Grad-CAM
SAP & ERP
- ABAP Cloud
- RAP Model
- CDS Views
- SAP BTP
- SAP Fiori
- OData V4
Cloud & Tools
- Git / GitHub
- Next.js
- Vercel
- FastAPI
- TanStack Query
- GitHub Actions
- abapGit
SDLC & Quality
- Agile / Scrum
- Version Control
- Unit Testing
- Debugging & Troubleshooting
- ATC Static Analysis
Leadership
- Stakeholder Communication
- Team Coordination
- Cross-functional Collaboration
Bachelor of Advanced Computing
University of Sydney · Sydney, NSW
Expected Dec 2027
Major: Computer Science · Minor: Software Development · WAM: 76 · 2+2 transfer from Manipal Academy of Higher Education, India.
Positioning SAP Business Data Cloud
Issued Apr 2026
C_ABAPD_2507 — SAP Certified Associate: Back-End Developer ABAP Cloud
Object-Oriented C++: Inheritance and Encapsulation
Issued Jan 2024 · ID FGT2FHQNCNDE