Senior AI/ML Engineer and Research Scientist with 3+ years of experience developing scalable solutions across Computer Vision, Natural Language Processing, Generative AI, and Deep Learning.

● NVIDIA Startup Member and Oracle-OCI AI certified professional with a BSCS from FAST-NUCES University, Pakistan (2023)

● Published researcher in IEEE JSTAR Transactions, AIP Conference Proceedings, and Taylor & Francis Group

● Proven track record of leading cross-functional teams, deploying high-performance GenAI systems on GPU clusters, and driving measurable business impact through innovative solutions.

● Key contributions include autonomous agents development (GPT-Researcher project), hyperspectral image processing research at Chongqing University, China (classification, denoising, pansharpening), and enterprise-scale AI applications.

● Expertise spans multiple domains: Enterprise Video/Audio Dubbing Platforms, Neural Voice Cloning, Lip-Sync Technology, 3D Human Avatars, Virtual Humans, Motion Capture, Facial Animation, Photorealistic Rendering, Agentic AI, Geospatial Intelligence, Remote Sensing, Satellite Imagery Analysis, Object Detection, Semantic Segmentation, Instance Segmentation, Image Classification, Anomaly Detection, Time-series Forecasting, Edge AI, and IoT Security Systems.

● Programming Languages: Python, C++, C, Rust, Java, Julia, R

● NVIDIA Technologies: TensorRT, TensorRT-LLM, NeMo, Riva, RAPIDS, CUDA, DeepStream, Triton Inference Server, DALI, NIM

● ML&DL: PyTorch, ONNX, JAX, TensorFlow, Keras, Scikit-Learn, Hugging Face Transformers, LangChain, OpenAI API, Agentic AI, Fine-tuning LLMs, Model Optimization

● Computer Vision: OpenCV, Open3D, YOLO, ResNet, Vision Transformers, Stable Diffusion GAN, UNet

● Natural Language Processing: Transformer Models, BERT, GPT, T5, Sequence-to-Sequence Models, Speech Recognition, Text-to-Speech, Multilingual NLP

● MLOps & Infrastructure: Docker, Kubernetes, MLflow, Weights & Biases, Apache Airflow, CI/CD Pipelines, Model Monitoring

● Cloud Platforms: AWS (SageMaker, EC2, S3), Google Cloud Platform (Vertex AI, Compute Engine), Azure, Oracle Cloud Infrastructure

● Distributed Computing: Apache Spark, Ray, Dask, Hadoop, Multi-GPU Training, Model Parallelism, Data Parallelism

● Data Engineering: PostgreSQL, MongoDB, Apache Kafka, Snowflake, ETL Pipelines, Databricks

● Development Tools: Git, GitHub, FastAPI, Django, REST APIs, GraphQL, Redis

● Visualization & Analytics: Matplotlib, Plotly, Tableau, Streamlit, Gradio, Power BI

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