Hire the Best Senior Machine Learning Engineer in Islamabad, Pakistan

Enthusiastic Machine Learning Engineer eager to contribute through hard work, attention to detail, and excellent organizational skills. Motivated to learn, grow, and excel in the industry.

Experienced data scientist with extraordinary problem-solving skills in machine learning, computer vision, and AI product development 🤖. I have worked with more than 3 startups 🏢 and helped them raise 7-digit funds in their first round while successfully launching their products 🏆. I have built custom fully hardware-optimized machine learning solutions that could utilize the most out of the deployment machines whether it is an NVIDIA Jetson dev-kit or Raspberry Pi or even Arduino or server-based applications. I have developed more than 50 products for startups and big tech companies which cover a wide Region of Interest (ROI) like automatic retail stores performance analysis, automatic farms, automatic circuit designing, and medical image solutions. My core skillset lies in the delivery of end-to-end Data Science. Everything from a deep discovery phase, the exploratory data analysis, to the engineering of Machine Learning algorithms and finally the communication & integration of Artificial Intelligence into business processes and systems, ❓WHY HIRE ME? 💡 Creativity ➝ I have always come up with creative and innovative ideas to solve a problem. My solutions are business oriented, scale-able, and best in performance. Something very hard to find on Upwork. I recommend unique solutions to turn your business idea into a patentable product. 🚀 Productivity ➝ I provide quick solutions, products, or MVPs in a very short time. So if you are looking for someone to get the work done within the budget, I am the one. 🤝 Trust ➝ I build a strong trust between my clients so that they could fully discuss the details of their product and in exchange, I provide them with never implemented best automatic or semi-automatic solutions for their data. I have over 4 years of experience in hardware optimization ✅ CUDA, ✅ CuDNN, ✅ TensorRT, ✅ OpenVINO and ✅ MKL with a good understanding of the ✅ OpenCL, ✅ OpenGL, ✅ FFMPEG, ✅ GStreamer and ✅ neural network mixed precision deployment without sacrificing accuracy. I have a strong grip on ✅ Python ✅ C/C++ ✅ MATLAB ✅ SQL I have worked with ✅ Pytorch ✅ TensorFlow ✅ ONNX ✅ OpenCV ✅ Jax ✅ sci-kit-learn ✅ pandas frameworks in python.

Passionate about data science, strong programming, client-facing, and team leadership skills. Over 7 years of experience in building and delivering technical projects in ML/NLP. Served in startups, academia, and research lab. Note: The views expressed on this platform are my own and may not necessarily reflect the views of my company or any of its officials.

Experienced Technical Manager with a versatile background in software engineering, system design, and solution architecture. 10+ years of experience in the technical field has allowed me to bridge the gap between engineering and business, ensuring the development of innovative and scalable solutions

Experienced Software Engineer with a demonstrated history of working in the software industry. Skilled in .NET Framework, Amazon Web Services (AWS), Docker Products, Deep Learning, Machine Learning, C++ and Python (Programming Language). Strong engineering professional with a Master's degree focused in Robotics and Intelligent Machines Engineering from National University of Sciences and Technology (NUST).

Pursuing Ph.D. from NUST School of Electrical Engineering and Computer Science (NUST) with ongoing research on Automated Analysis of Multi-Gigapixel Histopathology Images for Cancer Diagnosis. Tech Lead - AI & ML having experience exceeding 6 years mainly in helping International Clients, Government Agencies, and Startups by building Scalable AI-based solutions. Experienced in Computer Vision, Deep Learning, and MLOps tools for building Scalable Machine Learning or Artificial Intelligence Pipelines. Note: The views expressed on this platform are my own and may not necessarily reflect my company's or its officials' views.

I am a seasoned Data Scientist and Analytics Engineer with a track record of delivering successful projects in various industries, including health, finance, telecommunications, and transportation. Throughout my career, I have demonstrated a proven ability to lead companies in the development of analytical and predictive systems, leveraging state-of-the-art ETL pipelines and utilizing the latest data engineering tools and best practices. With excellent technical skills, including expertise in machine learning algorithms, statistical modeling, and database management, I possess the ability to drive data-based decision-making. I am also passionate about staying up-to-date with emerging trends and technologies in the field, ensuring that clients receive the most innovative and cutting-edge solutions. My projects have resulted in millions of dollars in savings and increased revenues, showcasing my ability to drive significant improvements in efficiency and productivity. Skills & Abilities • Software Development • Artificial Intelligence and Data Science • System Design • Data Engineering • Project management Tools & Technologies • Languages: Python, R, C++, NodeJS • ML Framework: TensorFlow, Pytorch, Sklearn, Huggingface • MLOps: Ansible, Terraform, Airflow, Docker, Kubernetes, Ascend.io, Flask, Nginx, AWS SageMaker & Lambda • Visualization Tools: Tableau, Grafana, Looker Data Engineering: Pandas, Numpy, Ray, Spark, Kafka, Dramatiq, Celery • Databases: Postgres, Elasticsearch, MongoDB, Redis, Nebula, AWS timestream, HIVE, Parquet, HDFS, AWS S3

I am Passionate about Research & development in cutting-edge research and emerging technologies in Artificial Intelligence with an equal focus on translating research into production-ready models. Always eager to learn new things, able to adapt to changing environments, handle pressure situations to meet deadlines, and always interested in learning new things (tools, frameworks, concepts). I have 5 years of Industry experience and currently, I am working as Sr. Machine Learning Engineer @ Arbisoft for KAYAK-LABS Booking Holdings INC. Some of the tools, frameworks, techniques & Network Architectures that I've Hands-on Experience include: TensorFlow, Pytorch, PytorchLightning, LightningFlash, SkLearn, Pandas, Data Wrangling, Dynamic Web Scrapping using Selenium and BeautifulSoup, Apache Spark(PySpark, Scala, Java), OpenStack, Terraform, Ansible, Jenkins, Docker, Terraform, Hadoop Multinode Cluster (Installation and setup from scratch), MapReduce Frame Work, Cloud Computing (AWS, Google Cloud, Azure), MongoDB, Speech-to-text, Chatbots, Neural Machine Translation, Transformer Summarizer, Sentiment Analysis, Object Detection & Localization (Yolo-V3, YOLO-V4), Face Recognition (Siamese Networks), Vision Transformers, Regression, Classification, Forecasting, Big Data Processing, and Data Analytics(EDA) among others. Some of the projects that I have worked on: Multi-Task Learning using Transformers for regression, PTCL Automatic call Analytics System for Agent Evaluation using ASR, Language Models, Speaker Diarizarion using VAD & Speaker Embeddings, Digital Signal Processing, and other NLP and Deep Learning based techniques including but not limited to Spelling Correction, Siamese Networks, Transformers, and COVID-19 Forecasting using Facebook Prophet, Decentralized Application Development (DAP) using Blockchain, Smart Contracts(Solidity), Bitcoin-Core(Test Network), Nodejs, BIP 70 Protocol for payment gateway, Full Stack Web Development with FLASK Framework, PHP, MySQL, JavaScript, jQuery, Ajax, Bootstrap 4, HTML5, Java, and C++. Further Learning and Research Goals: Quantum Computing AI Algorithms, GCNs for Vision Tasks, Muti-Modal Architectures(Vision-Text-TabularData, staying up-to-date with SOTA research & developments in AI, Bayesian Statistics, and Continuous Learning. Educational Background: Strong engineering background with a Master's in Data Science while securing a 3.92 CGPA (Bronze Medal) @ FAST-NUCES (Islamabad) & Bachelor of Science in Software Engineering scoring 3.97 CGPA (Gold Medalist) @ Virtual University of Pakistan (Lahore).