// CAREER TRAJECTORY & COMPETENCIES
Experience & Expertise
A comprehensive overview of my professional engineering roles, research endeavors, and technical proficiencies in AI systems.
Download Full Curriculum Vitae
Comprehensive resume highlighting ML models, pipelines, and technical achievements.
01 // PROFESSIONAL TIMELINE
AI Engineer
CurrentAug 2025 – Present
Synavos Global·Lahore, Pakistan
Engineering end-to-end Computer Vision, Multimodal AI systems, and scalable agentic automation workflows for enterprise deployment.
Key Accomplishments:
Architecting production-ready AI pipelines spanning biometrics, face embeddings search, and real-time anti-spoofing liveness verification.
Developing low-latency inference services with FastAPI, ONNX Runtime, and TensorRT for edge and cloud deployment.
Building intelligent automation agents and multimodal retrieval pipelines integrating LLMs, vector databases (FAISS, Chroma), and custom vision backbones.
Collaborating with cross-functional engineering teams to harden production systems, optimize GPU compute, and maintain robust API contracts.
Stack:PythonFastAPIPyTorchTensorFlowInsightFaceFAISSOpenCVDocker
AI & Machine Learning Researcher
2024 – 2025
University Research Lab·Lahore, Pakistan
Conducted applied deep learning research focusing on computer vision in healthcare, medical imaging diagnostics, and multimodal classifiers.
Key Accomplishments:
Formulated CNN and Transformer-based classification pipelines for medical MRI volumetric scans with Grad-CAM explainability.
Developed a specialized NLP triage chatbot for ENT and nasal health guidance using conversational AI techniques.
Trained transfer learning models on large-scale datasets (140k+ images) for deepfake detection and wildfire early-warning systems.
Stack:PythonPyTorchTensorFlowHuggingFaceScikit-LearnPandas
BS Artificial Intelligence (BSAI)
Graduated with Honors
University Academic Program·Lahore, Pakistan
Specialized Bachelor of Science in Artificial Intelligence covering deep neural networks, computer vision, natural language processing, and autonomous systems.
Key Accomplishments:
Graduated with honors in BS Artificial Intelligence (BSAI).
Advanced coursework: Computer Vision, Deep Learning, Pattern Recognition, Optimization, and Applied Machine Learning.
Capstone & research focus: Biometric recognition and real-time liveness detection.
Stack:PythonPyTorchTensorFlowOpenCVAlgorithmsData Structures
02 // CORE TECHNICAL STACK
Computer Vision & Biometrics
InsightFace & FAISSProduction
Liveness & Anti-Spoofing (EfficientNet)Production
Object Detection & Segmentation (YOLO, OpenCV)Advanced
DeepFake Detection (ResNet, MobileNet)Advanced
Medical Imaging (MRI/DICOM)Research
Deep Learning & AI Frameworks
PyTorch & TorchVisionAdvanced
TensorFlow & KerasAdvanced
Hugging Face TransformersIntermediate
Scikit-Learn & NumPyAdvanced
Model Optimization (ONNX)Intermediate
Backend & Systems Engineering
Python & FastAPIProduction
Node.js & ExpressAdvanced
REST APIs & WebSocketsAdvanced
Docker & ContainerizationIntermediate
Vector Databases & SearchAdvanced
Frontend & Full-Stack
TypeScript & JavaScriptAdvanced
Next.js & ReactAdvanced
Tailwind CSSAdvanced
Framer MotionIntermediate
Modern Web SecurityAdvanced