Hire the Best Linear Programmers

Leadership: Have led a team of statisticians in supporting statistical activities in 2 therapeutic area portfolios and programmers supporting regulatory reporting for over 100 clinical trials Technical: Strong experience in providing lead statistical support for regulatory activities such as FDA Panel meetings, in-person FDA meetings, PMA submissions, FDA study design conference calls, FDA deficiency responses and regulatory report submissions Programming: SAS (10+ years) and experience using R

I am a Computer Science Ph.D. graduate from the University of California, Riverside. I have extensive experience: - Designing novel graph based Unsupervised Machine Learning methods and on the relevant research literature. - As a Teaching Assistant in both graduate and undergraduate university Machine Learning courses. - Designing software in MATLAB. - Creating high quality technical reports in LaTeX. - Navigating the Linux ecosystem and in bash scripting. I will be able to assist you with tasks such as: - Getting a deeper and clearer understanding of various Data Science and Machine Learning concepts. - Research projects involving Machine Learning, and particularly graphs and Mathematical Optimization. - Non-research Data Science tasks like data scraping, data visualization, MATLAB scripting etc. If you think my skills align with your task at hand, feel free to reach out and I will be happy to discuss with you potential solutions I can provide :)

- I specialize in R and its scientific ecosystem, particularly the tidyverse. - I also have extensive experience with Fortran, especially for performance-intensive tasks. - With more than 12 years working with academic documents in LaTeX, I’ve contributed to theses, research papers, and scientific publications. - I’m skilled at optimizing scientific code, improving both execution time and memory usage through profiling and efficient algorithm design. - I believe that clear and consistent communication is key to delivering top-quality work—let’s keep the conversation going! - My combined expertise in R and Fortran allows me to develop robust, efficient solutions for applications ranging from statistical modeling to numerical simulations. -N8N: My combined experience in programming and editing allows me to build clear, efficient, and reliable automations. I create smart workflows using n8n, designed specifically to meet real business and project needs.

I am an experienced quantitative financial researcher with 15+ years of experience in the field. Before that, I used to be a Physicist in academia, where I had a passion for cosmology (my PhD thesis was in this) and Quantum Physics (I currently run a blog on Linkedin on this). As part of this background, I can contribute to gigs that involve any of the following, but not limited to it: • Data analysis (optimization, clustering, especially dealing with very noisy data, applying any mathematical model on data) • Machine Learning (random forests, adversarial networks, recurrent networks, ....) • Proficient in C, Python, C#, but you can definitely catch my interest if you have a problem involving the Wolfram Language • Passionate about Quantum Physics, so I would definitely enjoy projects that require working in theoretical Quantum Physics. • I can do projects that involve Mathematics (Chaos Theory, Dynamical Systems, Real Analysis). • Last, but not least, I have experience in the full cycle of generating systematic strategies from prototyping to implementing into production all the way to monitoring the execution.

I have Expert-Vetted Talent (EVT) badge - it's Upwork's top 1% freelancers — pre-screened by Upwork Talent Managers and experts in their field. Out of ~30 million programmers worldwide, only a few thousand know Algorithms & Data Structures better than I do, which is proven by programming competitions. Please, contact me if you need that skill level (top 0.01%). I can do algorithmic/performance work in C/C++, Python, SQL, Java, MQL4, MQL5, C#, Assembly, JavaScript, Julia, Rust, and probably other languages - learning them rapidly. I also work with AI, mostly in NLP and NLU: large language models including OpenAI GPT-3, Bloom, BloomZ, GPT-J 6B, LLaMA, Alpaca, etc.; HuggingFace Transformers, Accelerate; Petals, Deepspeed, zfp/zfpy; CUDA, CPU, and MPS (AArch 64 M2 MacOS Metal GPU) backends. I have some work experience with Apple Neural Engine (ANE). In AI, I also worked with XGBoost for predictions (including trading), LibSVM, TensorFlow, PyTorch, Scikit-learn, etc. I have the hardware in my home office for training and inference with large language models and other AI. English: C1 (Grammarly plugin says I use more unique words than 95% of other users, native speakers included). Polish: B1 (86%). Russian, Belarusian: Native. - With unique skills in Algorithms & Data Structures, I improve programs asymptotically (often 100 or more times on large input data). - 29 years of programming (started Basic and assembler on ZX Spectrum), 24 years of C/C++, 16 years of commercial work experience + 3 years of research projects. - Contributed to widely used Open Source projects: LLVM/Clang (my contribution is XRay profiler on ARM32 and AArch64 systems), Katana Graph (multiple small contributions mostly driven by the proprietary part where I do GPU/CUDA), CBMC "C Bounds Model Checking" (I contributed parallelized output of DIMACS formatted Boolean Satisfiability formula), oatpp (C++ web framework, I contributed bug-fixes), OWL (OptiX Wrapper Library, I contributed build fixes for Ubuntu), Galois (research project for distributed computations on graphs, I contributed GPU improvements) - Actively participated in bug reporting and reproduction (for NVIDIA CUDA, Cadical&kissat boolean satisfiability solver, JBOSS, MariaDB, Tensorflow, Linux, etc) - Led several open-source projects of my own: ProbQA (a video game recommendation system based on a high-performance Bayesian inference engine with CUDA, SIMD, and multi-threading); InSoAr (automatic reconstruction of software architecture from source code ), a multi-threaded Boolean Satisfiability solver, etc. Working for hire, implemented: - efficient multi-threading, scaling real-world workloads almost linearly with the number of CPU cores (128x for AMD Ryzen Threadripper 3990X) - SIMD vectorization (SSE/AVX), up to 8x improvement in computing thread or even copying (see my "Faster alternatives to memcpy" answer on Stackoverflow, URL upon request). - cache-aware algorithms: up to 50x improvement on some workloads - up to 20 trillion operations/second in CUDA (thousands of times faster than CPU) - up to the theoretical limit (6.8 Gigarays/second on RTX 2080 laptop GPU) in ray-tracing with OWL and OptiX - AVX512 and RTM (Restricted Transactional Memory) based acceleration, 16x improvement for float numbers -up to 20x improvements to cryptocurrency miners on CPU using AVX512 and cache-friendly algorithms - crypto-miners for Ethereum, Bittensor, Qubic 15K reputation on Stackoverflow: (1915854/serge-rogatch) Topcoder SRM score: 1480 - among top 5K programmers in the world - top 0.02% (rSerge) I developed all kinds of networking applications, from Linux Kernel modules up to Web applications. The majority of work was, of course, done at TCP/IP level with socket calls like send/recv/select. Programming languages: C++, C++11/14/17/20, C, Python, x86/x64/ARM/AArch64 assembly, SQL, C# .NET, JavaScript, HTML, CSS, Java, MQL4, MQL5, XML, Cypher, Rust. Libraries/Frameworks: PyTorch, Tensorflow, HuggingFace Transformers/Accelerate/Safetensors, Hivemind/Petals, OpenAI, tiktoken, Django, Flask, STL, LibSVM, XGBoost, libcurl, Selenium, PyTorch, Transformers. Technologies: OpenMP, CUDA, SIMD (AVX&SSE, RTM), Linux Kernel Modules, OptiX/OWL, RTX, raytracing. Theory/Principles/Know-how/Methodologies: Algorithms & Data Structures, Performance Optimization, Artificial Intelligence, Multithreading, Vectorization, OOP, Low-latency, High-frequency, Blockchain. Open source code: Clang, LLVM, LLVM's compiler-rt library, Linux Kernel, a few of my own repositories, contributions to AI and Algorithm open-source projects such as Petals and CBMC. Tools/APIs/Architectures/Platforms: PostgreSQL, MSSQL, MySQL, Neo4j, MATLAB, CMake, GIT, MT4, MetaTrader 5, Conda, PyCharm. Virtual Machines / Containers: Docker, VMWare, VirtualBox, QEmu, Hyper-V. OSes: Windows, Linux, Android, macOS

⭐ 𝑨𝒎𝒐𝒏𝒈 𝑻𝒐𝒑 10 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 𝑻𝒖𝒕𝒐𝒓𝒔 | 3000+ 𝑳𝒆𝒔𝒔𝒐𝒏𝒔 𝑫𝒆𝒍𝒊𝒗𝒆𝒓𝒆𝒅 | 5+ 𝒀𝒆𝒂𝒓𝒔 𝑬𝒙𝒑𝒆𝒓𝒊𝒆𝒏𝒄𝒆 | 𝑺𝒕𝒖𝒅𝒆𝒏𝒕𝒔 𝒊𝒏 40+ 𝑪𝒐𝒖𝒏𝒕𝒓𝒊𝒆𝒔 | 𝑷𝒚𝒕𝒉𝒐𝒏 𝑻𝒖𝒕𝒐𝒓 | 𝑱𝒂𝒗𝒂 𝑻𝒖𝒕𝒐𝒓 | 𝑪++ 𝑻𝒖𝒕𝒐𝒓 | 𝑪 𝑻𝒖𝒕𝒐𝒓 | 𝑪𝒐𝒅𝒊𝒏𝒈 𝑰𝒏𝒕𝒆𝒓𝒗𝒊𝒆𝒘 𝑷𝒓𝒆𝒑 𝑻𝒖𝒕𝒐𝒓 | 𝑫𝒂𝒕𝒂 𝑺𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆𝒔 & 𝑨𝒍𝒈𝒐𝒓𝒊𝒕𝒉𝒎𝒔 𝑻𝒖𝒕𝒐𝒓 | 𝙇𝙚𝙚𝙩𝙘𝙤𝙙𝙚 𝑻𝒖𝒕𝒐𝒓 🌟 What My Students Say (based on Reviews on Preply) ⭐️⭐️⭐️⭐️⭐️ “Zain’s explanations in Python & C++ are clear and easy to follow. His teaching style is very informative and easy to understand. He first explains the main concepts and then goes through examples with you". ⭐️⭐️⭐️⭐️⭐️ “The teacher is amazing! He is always prepared for the classes and explains Java concepts very well, asks if I am understanding, does not proceed when there are doubt... ⭐️⭐️⭐️⭐️⭐️ "Zain Makes programming simple and teaches very well. He simplifies the material and explains it clearly." Hi! I’m M. Zain 👋, a Software Enginee with 5+ years of teaching experience in 𝙥𝙧𝙤𝙜𝙧𝙖𝙢𝙢𝙞𝙣𝙜 and 𝙘𝙤𝙢𝙥𝙪𝙩𝙚𝙧 𝙨𝙘𝙞𝙚𝙣𝙘𝙚. So far, I’ve taught 150+ 𝙨𝙩𝙪𝙙𝙚𝙣𝙩𝙨 𝙖𝙘𝙧𝙤𝙨𝙨 40+ 𝙘𝙤𝙪𝙣𝙩𝙧𝙞𝙚𝙨 🌍. ✨ Proven Results with Students ✦ Helped a university student improve from a C grade (58%) to an A grade (89%) in one semester. ✦ Consistently improved learners’ scores by 40–60% on average through structured, interactive lessons. ✦ Guided 15+ students to build and deploy their first full-stack applications, many landing internships afterward. ✦ Coached 20+ O/A Level & IGCSE students, with 90% scoring A or A* in Computer Science & Programming exams. ✨ Certifications & Achievements ✦ Certified in Python Programming, Data Structures & Algorithms, Full-Stack Web Development, and Introduction to Front-End Development (Meta, Coursera). ✦ Winner of multiple coding competitions and hackathons, with top 3 finishes in 5+ national and university-level contests. ✦ Competitive programmer with a Top 10% global ranking on coding platforms (LeetCode & HackerRank). ✨ Teaching Style Engaging, interactive, and results-driven: ✦ Animated Canva slides for visual clarity ✦ Real-world coding projects ✦ Weekly progress tracking & feedback ✦ One-on-one mentorship for problem-solving & interview prep ✨ My secret sauce? Animated Canva slides to help you see the logic, not just read it plus real-world examples and hands-on coding challenges after every session. 👨‍🏫 What I Teach ✦ Programming Languages: Python, Java, C++, C, JavaScript ✦ Core Concepts: OOP, Data Structures & Algorithms, DBMS, Operating Systems, and many more ✦ Databases: MySQL, PostgreSQL, NoSQL ✦ Tools: Git/GitHub, Google Colab, Jupyter Notebook, VS Code, Cursor ✦ MS Office: Word, Excel, PowerPoint ✦ Web Development ✦ Exam Prep: IB, AP, GCSE, IGCSE, and O/A Levels, University Exams / Assignments & Projects 👨‍🏫 Teaching Experience With over 3+ years of teaching programming and computer science, I’ve learned how to turn tricky concepts into “oh, that makes sense!” moments 💡. My approach blends animated Canva slideshows, clear visual aids, and real-life coding examples to make lessons both interactive and memorable. Whether you’re just starting out or tackling advanced topics, I focus on understanding not rote memorization so the concepts truly stick. 🎓 Certifications & Background ✦ O-Level Computer Science = A* ✦ A-Level Computer Science = A ✦ Advanced Programming Coursework (Software Engineering degree, FAST University) 💼 Industry Experience I’m a Full-Stack Software Engineer experienced in building and deploying scalable web applications. ✦ Proficient in React, Node.js, Express, MongoDB, and SQL ✦ Strong foundations in C, C++, Java, Python ✦ Skilled in API development & cloud hosting ✦ Passionate about writing clean code and delivering real-world solutions ✔ Clear Explanations: I break down complex topics like OOP, DSA, and Computer Networks into simple, easy to grasp ideas. ✔️ Engaging Lessons: With animated slides , coding challenges , and real-world examples , learning never feels boring. ✔️ Personalized Approach: Whether you’re a complete beginner or tackling advanced topics, I adjust lessons to your pace and goals. ✔️ Industry Insight: As a Software Engineer, I don’t just teach theory I show you how it’s applied in real projects. ✔ Lifetime Support: Learning with me doesn’t end after class. I’ll always be there to answer your questions and guide you. For me, it’s not about money, it’s about helping you grow. 🤝 Book Your First Lesson Your first session is the perfect chance to see how I teach and how quickly you can start understanding programming concepts. Don’t wait until “someday” to start let’s turn tricky coding problems into aha! moments together. 👉 Book your first lesson today and start learning the smart way!