Ibrahim Bagwan

B.E. in Artificial Intelligence & Machine Learning | CGPA: 8.44/10.0

2024 - 2027

Relevant Coursework

• Data Structures & Algorithms
• Artificial Intelligence
• Database Management Systems
• Probability & Statistics

Diploma in Civil Engineering

2021 - 2024

Relevant Coursework

• Project Management
• Fundamentals of Civil Engineering
• Design and Drafting of 2D & 3D Models

Prosoft e-Solutions (Data Forensics)

February 2026 - April 2026

AIML Intern — Belagavi, India

• Engineered a deterministic PDF extraction engine to convert unstructured, multi-format bank statements into analysis-ready CSVs for forensic investigations.
• Architected a Tri-Modal pipeline with a geometric router, combining spatial heuristics, Microsoft Table Transformers, and OCR for high-accuracy parsing.

Team DHI, RVCE

March 2025 - Present

Member — Bangalore, India

• Organizing technical hackathons and workshops on AI/ML for the student community.
• Mentored junior members on Data Structures and Machine Learning concepts.

Microsoft Project Internship

March 2023

Internship in Project Management Software

• Completed 100 hours of internship training on Microsoft Project Software
• Learned Calendar setup, Task & Relationship management, and Critical Path Method (CPM)
• Worked on Estimation, Baseline setting, Resource Defining & Assigning
• Practiced Update & Tracking of project progress and planning for site visits

Domain-Adaptive Transfer Learning for Privacy-Preserving Scam Call Detection

IEEE Access, Vol. 14, 2026

Peer-Reviewed Research Paper

• Authored a peer-reviewed research paper detailing a novel vishing detection framework.
• Engineered a two-step training process using DistilRoBERTa on a dataset of 138,813 messages and 45,713 calls to learn semantic patterns of financial urgency.
• Achieved 99.84% accuracy and a 0.99 F1-Score.

Animal Health Danger Prediction AI/ML

International Journal of Research Publication and Reviews, Vol. 6, Issue 6, June 2025

Published Research Paper

• Developed a Random Forest classifier (Scikit-learn) to predict animal health risks using behavioral data.
• Achieved 98% accuracy and 92% recall, enabling successful early identification of at-risk animals.

Context-Aware Adaptive Presentation System

NLP, TinyBERT, HMM  |  Status: Filed in IPO

Application No: 202641025829 (Indian Patent Office)

• Engineered a speech-driven automation framework enabling semantic navigation and dynamic question annotation using real-time ASR and TinyBERT.
• Developed a Belief-HMM-with-Inertia probabilistic model to map continuous spoken narrative to vector embeddings, eliminating rigid voice commands.
• Inventors: Dr. B. Sathish Babu, Dr. Somesh Nandi, Ibrahim Bagwan, Mohammed Taha Sindoli, Chirag H

Causal Topology Optimization Engine

GNNs, Do-Calculus, NLP  |  Status: Filed in IPO

Application No: 202641045799 (Indian Patent Office)

• Engineered a 6-stage prescriptive AI framework to automate network reconfiguration using Graph Relational Embeddings (GRE) and Temporal GNNs.
• Developed an NLP-to-Graph-Grammar compiler that transforms unstructured policy PDFs into machine-executable production rules for compliant-by-design actuation.
• Inventors: Dr. B. Satish Babu, Ibrahim Bagwan, Harsh Lilha, Saif Mohtashim

Deterministic Integrity Verification & Cryptographic Attestation System

AST, BERT  |  Status: Filed in IPO

Application No: 202641052673 (Indian Patent Office)

• Engineered an air-gapped system for deterministic software verification using CPU-enforced fixed-point arithmetic.
• Implemented a Hybrid Static Analysis Engine combining AST parsing with a quantized, frozen AI filter (Sentence-BERT).
• Inventors: Dr. Veena Gadad, Ibrahim Bagwan, Hitarth Mehra, Harsh Patel, Dishanth A M, Shreyas S.

Languages and Databases

AI/ML Frameworks

Pandas

Tools