StatedRésumé
Deepfake Detection (iFake)
Built Deepfake Detection (iFake)
Claims you can check
Each card points at something real — open the source and verify for yourself.
- StatedRésumé
30-days-ml-projects
30 days ML projects repositoryCheck source - StatedRésumé
iFake – Deepfake Detection System
Processed 200k+ video frames; built a Python and YOLOv8 preprocessing pipeline for face detection, labeling and class imbalance handling. Developed and tested detection models; improved accuracy from 86.5% to 94.1% through ensemble learning. Optimized model performance and reduced processing time by 40%. Built and deployed a scalable FastAPI and Docker API for end-to-end inference.Check source - StatedRésumé
Sign Language Translator
Built a real-time CNN classifier with MediaPipe hand tracking for live webcam gesture recognition and text translation. Improved classification accuracy through data augmentation, hyperparameter tuning and preprocessing optimization.Check source - StatedRésumé
LexGuard – Legal and Insurance Document Analysis
Independent project during QSpiders training. Built document extraction and clause segmentation for PDF, DOCX and web inputs, including OCR for scans. Implemented a pluggable LLM client with a deterministic rule-engine fallback, caching, and REST and WebSocket interfaces.Check source - StatedRésumé
iFAKE — DEEPFAKE DETECTION
An end-to-end media verification system built for synthetic-media risk using frame extraction, YOLOv8 face detection, ensemble learning, and a Dockerized FastAPI service. - StatedRésumé
REAL-TIME SIGN LANGUAGE TRANSLATOR
A webcam-first CNN classifier combining MediaPipe hand tracking, OpenCV, and PyTorch for real-time ASL recognition and text translation. - StatedRésumé
Data Science Intern (Training Program) @ QSpiders Training Institute, Bangalore, India
Built and evaluated machine learning models using Python and scikit-learn. Analyzed and preprocessed real-world datasets using pandas and NumPy; queried and managed structured datasets using SQL. Debugged data workflows to improve performance and consistency; identified and resolved technical issues through systematic analysis. - StatedRésumé
Python for Data Science (Training and Internship) @ QSpiders Global
Bengaluru, Karnataka, India - StatedRésumé
IBM Data Science Professional Certificate – IBM/Coursera
12-course programme completed 18 September 2026; Python, SQL, data analysis, visualization, ML and capstone. - StatedRésumé
Deep Learning – NPTEL, IIT Ropar
Elite, 73%. - StatedRésumé
Selected IBM courses
SQL (2025); Machine Learning with Python (2026); Applied Data Science Capstone (2026). - StatedRésumé
Additional training
Hugging Face Transformers (2025); AWS: Generative AI (2024); SQL – Udemy (2024). - StatedRésumé
LeetCode DSA Problem Solving
Solved 200+ LeetCode DSA problems, including arrays, hashing and binary search. - StatedRésumé
DBMS Technical Coordinator Leadership
Led 15+ peer project groups as DBMS Technical Coordinator; published 50+ ML explainers on LinkedIn (#DailyMLDose). - StatedRésumé
MCE AI Track hackathon
Participated in the MCE AI Track hackathon, Hassan. - StatedRésumé
IJARESM CERTIFICATE ON DEEPFAKE DETECTION OF FACES
- StatedRésumé
Python for Data Science, AI & Development
- StatedRésumé
IBM Data Science
- StatedRésumé
Data Analysis with Python
- StatedRésumé
Foundations of Data Science
- StatedRésumé
Video Frames Processed
200k + video frames processed in a deepfake-detection pipeline - StatedRésumé
Ensemble Accuracy Achieved
94.1 % ensemble accuracy achieved on the iFake detection system - StatedRésumé
Processing Time Reduction
40 % reduction in processing time through workflow optimization - StatedRésumé
DSA Problems Solved
200 + DSA problems solved through consistent practice
What rahamanshadabur can prove
Proven Unproven
INTERVIEW-VERIFIED CAPABILITY (PROVEN)SELF-DECLARED STACK
GRAPH NODES: 41 · CONNECTIVITY FACTOR: 0.20- Adversarial Robustness: self-declared, 0 evidence items
- Applied Machine Learning: self-declared, 0 evidence items
- Arabic: self-declared, 0 evidence items
- CNN: self-declared, 2 evidence items, linked to Project: Sign Language Translator, Project: REAL-TIME SIGN LANGUAGE TRANSLATOR
- Computer Vision: self-declared, 0 evidence items
- Data Analysis: self-declared, 0 evidence items
- Data Storytelling: self-declared, 0 evidence items
- Data Systems: self-declared, 0 evidence items
- Databases: self-declared, 0 evidence items
- Docker: self-declared, 2 evidence items, linked to Project: iFake – Deepfake Detection System, Project: iFAKE — DEEPFAKE DETECTION
- English: self-declared, 0 evidence items
- Excel: self-declared, 0 evidence items
- FastAPI: self-declared, 3 evidence items, linked to Project: iFake – Deepfake Detection System, Project: LexGuard – Legal and Insurance Document Analysis, Project: iFAKE — DEEPFAKE DETECTION
- Generative AI: self-declared, 0 evidence items
- German: self-declared, 0 evidence items
- Git: self-declared, 0 evidence items
- Google Colab: self-declared, 0 evidence items
- HTML: self-declared, 0 evidence items
- Java: self-declared, 0 evidence items
- JavaScript: self-declared, 0 evidence items
- Jupyter: self-declared, 0 evidence items
- Jupyter Notebook: self-declared, 0 evidence items
- Matplotlib: self-declared, 0 evidence items
- MediaPipe: self-declared, 2 evidence items, linked to Project: Sign Language Translator, Project: REAL-TIME SIGN LANGUAGE TRANSLATOR
- Multimodal Systems: self-declared, 0 evidence items
- MySQL: self-declared, 0 evidence items
- NumPy: self-declared, 0 evidence items
- OpenCV: self-declared, 2 evidence items, linked to Project: Sign Language Translator, Project: REAL-TIME SIGN LANGUAGE TRANSLATOR
- pandas: self-declared, 0 evidence items
- PostgreSQL: self-declared, 0 evidence items
- Power BI: self-declared, 0 evidence items
- Python: self-declared, 4 evidence items, linked to Project: iFake – Deepfake Detection System, Project: Sign Language Translator, Project: LexGuard – Legal and Insurance Document Analysis, Project: iFAKE — DEEPFAKE DETECTION
- PyTorch: self-declared, 4 evidence items, linked to Project: iFake – Deepfake Detection System, Project: Sign Language Translator, Project: iFAKE — DEEPFAKE DETECTION, Project: REAL-TIME SIGN LANGUAGE TRANSLATOR
- Responsible AI: self-declared, 0 evidence items
- scikit-learn: self-declared, 0 evidence items
- Seaborn: self-declared, 0 evidence items
- SQL: self-declared, 0 evidence items
- Tools For Data Science: self-declared, 0 evidence items
- Transformers: self-declared, 0 evidence items
- TypeScript: self-declared, 0 evidence items
- YOLOv8: self-declared, 2 evidence items, linked to Project: iFake – Deepfake Detection System, Project: iFAKE — DEEPFAKE DETECTION
Shipped work
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Flagship systems this candidate architected will appear here once attached to the dossier. No project has been added yet.
Getting better, on the record
Proven skills over time — today marked in lime.
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Career chronology
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Trajectory timeline
IBM Data Science Professional Certificate – IBM/Coursera
Data Science Intern (Training Program)
QSpiders Training Institute, Bangalore, India
Python for Data Science (Training and Internship)
QSpiders Global
Deep Learning – NPTEL, IIT Ropar
MCE AI Track hackathon
PES Institute of Technology & Management – VTU, Shivamogga, Karnataka
B.E.
PES Institute of Technology & Management, SHIVAMOGA
Bachelor of Engineering - BE
Sri Adichunchangiri Independent PU college
Undergraduation Program
Suncity vidyalaya
School Education
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