SYSTEM 01 // PROJECTRole: FEATURED PROJECT
Deepfake Detection (iFake)
Built Deepfake Detection (iFake)
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// PRODUCTION DEPLOYMENTS & ARCHITECTURAL CASE STUDIES · SECTION 04
Flagship Systems & Production Impact
Technical architecture breakdowns of production systems, projects, and repositories this candidate has attached to their dossier.
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SYSTEM 02 // PROJECTRole: FEATURED PROJECT
30-days-ml-projects
30 days ML projects repository
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SYSTEM 03 // PROJECTRole: FEATURED PROJECT
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.
TechnologyPython
StackPyTorch
PlatformFastAPI
Outcomeimproved accuracy from 86.5% to 94.1% through ensemble learning and reduced processing time by 40%Self-reported
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SYSTEM 04 // PROJECTRole: FEATURED PROJECT
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.
TechnologyPython
StackPyTorch
PlatformMediaPipe
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SYSTEM 05 // PROJECTRole: FEATURED PROJECT
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.
TechnologyPython
StackFastAPI
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SYSTEM 06 // PROJECTRole: FEATURED PROJECT
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.
TechnologyPython
StackPyTorch
PlatformYOLOv8
Outcome94.1% ensemble accuracy achieved on the iFake detection systemSelf-reported
Metric 02—Pending
Metric 03—Pending
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// RECRUITMENT & ADVISORY ENGAGEMENTS
Request Technical Architecture Dossier
Full verification packet containing source artifacts, production traces, and formal proofs available for prospective leadership roles once attested.
Download PDF (Signed)Request Intro