Sami Khan Email & Phone Number

Highly Versatile Applied Scientist & Machine Learning Engineer with expertise spanning Hardware, Software, and Networking. Proficient in C#, C++, Python, TensorFlow, and PyTorch, alongside NumPy, Pandas, OpenCV. Mastery in data manipulation techniques including CSV, JSON, and HDF5, coupled with data acquisition through SQL (MySQL), NoSQL (e.g., MongoDB), and graph databases like Neo4j. Skilled in Unix System Administration & Scripting with Bash, Perl, and GNU Tools, complemented by cloud proficiency in Azure, Google Cloud and AWS EC2, EKS. Multi-lingual: Fluent in Spanish, Portuguese, English, Urdu, and Hindi.Specializations:Natural Language Processing: Proficient in state-of-the-art NLP models such as LLMs, OpenAI, LangChain, PEFT via QLoRA/Prompt-Tuning/Long-Net.Computer Vision: Expertise in Convolutional Neural Networks (CNNs) for image analysis, employing libraries like OpenCV and ImageMagick for image processing tasks. Proficient in Optical Character Recognition (OCR) for text extraction from images/pdfs. Skilled in object detection and image segmentation techniques using models like YOLO and Mask R-CNN. Experience with (training/inference) on embedded devices using pruning/sparsity/quantization/knowledge distillation/NAS for deployment on low-memory and low-powered devices.Time Series Analysis: Experienced in anomaly detection and forecasting using time series data, leveraging LSTM, RNNs, and transformers for sequence modeling. Capable of handling irregularly sampled time series data via DSP techniques.Signal Processing: Proficient in signal processing techniques including Fast Fourier Transform (FFT), Hilbert Transform, optical flow, and mathematical manipulation of signals using libraries/programming languages like SciPy, OpenCV, and MATLAB/C#/C++. Networking: Specialized in event-driven protocols such as Apache Kafka, GRPC (Google Remote Procedure Call), MQTT (Message Queuing Telemetry Transport), and WebSocket for efficient communication between distributed systems. Experienced in network traffic analysis and optimization for low-latency applications. Proficient in socket programming for building custom network applications.MLOps: Proficient in MLOps tools such as Airflow, Spark, Git Actions, Jenkins, and CI/CD pipelines (MLFlow, Git/Bitbucket, DVC (Data Version Control), ArgoCD for automating machine learning workflows and model deployment. Experienced in containerization technologies like Docker and orchestration tools like Kubernetes/Helm Charts for scalable and reproducible ML deployments.

Listed skills include Leadership, Community Service, Object Tracking, Public Speaking, and 25 others.