I’m a mechanical engineer and researcher with over 6 years of experience in vibration analysis, mechanical system design, automation, simulation, and machine learning. I’ve developed predictive maintenance tools using LSTM and DCNN, built simulations in MATLAB and COMSOL, and deployed production-grade Python applications. I’ve also created Python APIs for automated quality control in medical labs and designed a C++/Qt GUI for an endoscopy device. I specialize in transforming data into clear insights. By leveraging Python (Pandas, NumPy, SciPy), prompt engineering, and MATLAB, I build pipelines for deep technical analysis across diverse domains. In addition, I spent a year working as a test engineer, where I honed qualities essential to the role including attention to detail, thoroughness, and a methodical approach to problem-solving. Whether it’s quality control, mechanical design, simulation, or mathematical modeling, I deliver research-driven, high-quality results tailored to your needs.

Areas of Expertise: Control, Robotics, Computer Vision, Game Development Research and Projects: 1. Simultaneous Localization and Mapping (SLAM) for Robotics - Developed advanced 2D graph-based SLAM solution for mobile robots and quadrotors using LIDAR technology. - Executed the project in collaboration with KARI (Korean Aerospace Research Institute), including the creation of a quadrotor simulator using Mavros and Gazebo. 2. Vine Robot Simulator for Humanitarian Assistance - Spearheaded the development of a Unity3D simulator for Stanford University's vine-like growing robot, aimed at enhancing disaster response scenarios. - Engaged in a research partnership between Stanford University and Koreatech under the US DOD – ROK MOTIE research program. 3. Innovative Vine Robot Teleoperation Interface - Designed and implemented a unique interface for real and simulated control of Vine Robot. - Introduced passive haptic feedback and improved situational awareness, aligning with the robot's anatomy for optimal usability. 4. Cutting-edge Ferro Fluid Tactile Device - Led the development of a tactile device using novel ferro-fluid mechanism, providing high-frequency vibrational cues and realistic haptic sensation. - Collaboration with Surgical Intuitive USA and Industrial Strategic Technology Development Program Korea for groundbreaking advancements in tactile technology. 5. BatPrac - Innovative Cricket Stroke Analysis Device** - Designed and implemented BatPrac, a groundbreaking tool that records and analyzes cricket batsmen's stroke play technique in real-time. - Pioneered the use of stroke play data analysis to provide comprehensive insights into technique and suggest improvements. Education: - PhD in Mechanical Engineering (Ongoing) - Master of Science in Mechanical Engineering - Bachelor of Science in Mechatronics Engineering Skills: - Programming:** Proficient in C, C++, Python (Beginner), Matlab, Qt - Robotics:** Expertise in ROS, Gazebo, Moveit, RViz, Unity3D - Electronics:** Skilled in Arduino IDE, MPLAB, Keil, Raspberry Pi, ARM - Modeling:** Proficient in Solidworks for precise modeling - Libraries and Frameworks:** Expertise in PCL (Point Cloud Library), g2o, KDL (Kinematics Dynamics Library), OpenHaptics, OpenCV, VISP, Chai3D, Git Highlights: - Delivered innovative solutions in cricket stroke analysis, SLAM technology, vine robot simulation, teleoperation interfaces, and tactile devices. - Collaborated with prestigious institutions and research programs, such as Stanford University and KARI. - Demonstrated expertise in a wide range of programming languages, robotics tools, electronics, and modeling software. - Academic achievements include an advanced degree in Mechanical Engineering and a solid foundation in Mechatronics Engineering.

MS Scholar in Mathematics & Statistics | 6+ Years Teaching & Problem-Solving Experience Need accurate solutions for math problems, SPSS/Excel analysis, or MATLAB simulations? I help students & researchers solve them step-by-step — fast, clear, and 100% reliable. 🔧 Services I Offer: 📘 Mathematics: Calculus, Linear Algebra, Probability, Discrete Math 📊 Statistics: Hypothesis Testing, ANOVA, Regression ⚙️ MATLAB/Simulink: Simulations, Modeling 🧠 Data Analysis: Python, R, Excel, Stata 📝 Exam & Assignment Help: Homework, Quizzes, Projects 🌟 Why Work With Me? 🎓 MS in Math & Stats – Precise and academic-level problem solving 👩‍🏫 6+ Years Experience – Helped 500+ students worldwide 🧩 Concept Clarity – You learn, not just get answers ⏱️ Reliable & Quick – Timely delivery with detailed explanations 📄 Plagiarism-Free – 100% original solutions, with citations if needed 💬 Let’s Get Started! Working on an urgent project or upcoming exam? Send me your task details — I respond within minutes and can start right away!

Most automation freelancers build workflows. I build automation infrastructure—systems with rollout plans, error recovery, audit trails, and documentation your internal team can own after day one. That distinction matters when you're spending a serious budget on a project that needs to work in production, not just in a demo. Who I am: Telecommunications engineer by training (SDR, FPGA, signal systems). Founder of Elevorix Solutions—an AI/ML automation consultancy and training firm operating across the MENA region. Our n8n curriculum is n8n-approved, which means the architecture and methodology I bring to client projects are the same framework we teach, certify, and have validated at the platform level. I didn't start on Upwork—I built Elevorix's own internal automation stack first. That means everything I offer clients has already been stress-tested internally before it goes near a production environment. What I've actually built: Field Engineering O&M Automation — 12-node n8n workflow covering asset tracking, maintenance scheduling, and escalation routing. Delivered with a full 8-phase rollout plan: environment setup → staging → pilot → team handoff → monitoring cadence. Not a workflow file — a deployment program. Gmail Intelligence System — 24-node n8n pipeline integrating Gemini 2.0 Flash for email classification, priority tagging, and routing. Outputs a structured daily executive summary in HTML, logged to Google Sheets for audit. Processes hundreds of emails per day with zero manual intervention. WhatsApp Business API Engagement Platform — Full broadcast and auto-reply system built on n8n with opt-out compliance logic, contact segmentation, and Supabase as the backend datastore. Handles real message volume at scale. What I build for clients: → Multi-LLM AI agent orchestration inside n8n—route tasks intelligently between Claude, Gemini, and GPT based on cost, latency, and capability → CRM automation — lead scoring, routing, follow-up sequences, and pipeline triggers without touching your CRM's native limitations → Customer engagement automation — WhatsApp, email, and webhook-based systems that handle real conversation volume → Self-hosted n8n on Docker — proper deployment with health checks, alerting, and recovery workflows built in from the start → Full documentation and handoff — every project includes SOPs, annotated workflow maps, and a runbook. Your team inherits something they can actually maintain. Why this matters for your proposal: If you've been burned by automations that break when something unexpected happens or freelancers who deliver a workflow file and disappear—this engagement model is designed around the opposite outcome. I scope carefully, build with failure states in mind, and don't consider a project done until the person running it after me understands it. If you need automation that survives contact with a real enterprise workflow — and the documentation to prove it — let's talk about your use case.

I help clients build, debug, and improve UAV, robotics, and computer vision systems using PX4, ArduPilot, ROS2, Gazebo, Jetson, Pixhawk, and AI/ML tools. My work focuses on practical engineering problems such as drone simulation, flight-controller integration, autonomy pipelines, computer vision deployment, and system debugging. Whether you need help with a PX4 or ArduPilot setup, ROS2-based simulation, Jetson deployment, MAVLink communication, or AI-based perception, I can help turn your idea or broken setup into a working system. Key Expertise • UAV operations and mission planning using PX4, ArduPilot, and Pixhawk • Flight-controller setup, parameter tuning, and configuration • Custom firmware development and integration for autonomous flight systems • ROS1 / ROS2 based robotics and UAV development • Gazebo simulation and testing environments • MATLAB / Simulink for modeling, simulation, and control algorithm development • Control system design for robotics and UAV applications • Sensor integration including GPS, IMU, and onboard peripherals • Embedded firmware development using C/C++ • Microcontroller programming with Arduino, ESP32, and similar platforms • Computer Vision for object detection, tracking, image/video processing, and perception pipelines • AI / ML / DL integration for robotics, UAV autonomy, and intelligent decision systems • Edge AI deployment using platforms such as Jetson • Flight data analysis, debugging, and performance optimization Tools and technologies: PX4, ArduPilot, ROS2, Gazebo, MAVLink, Jetson, Pixhawk, QGroundControl, Python, C++, OpenCV, YOLO, MATLAB/Simulink, Unreal Engine I have hands-on 5 years' experience in UAV systems, simulation, robotics software, and vision-based applications. I focus on clear communication, practical solutions, and reliable delivery. If you need support with a drone, robotics, simulation, or computer vision project, feel free to reach out.

Delivering robust, resource-efficient hardware architectures from concept to FPGA deployment. With extensive industrial experience in RTL development and FPGA-based accelerators, I specialize in transforming complex algorithms into optimized, high-performance digital systems. Whether you are building edge AI systems, custom processors, or high-throughput DMA bridges, I provide clean, synthesizable, and rigorously verified code. I am meticulous about hardware-software interfacing, timing closure, and comprehensive testbench development using golden models. Core Technical Capabilities: Hardware Description & Tools: Verilog, SystemVerilog, VHDL. Xilinx Vivado, ISE, and Intel Quartus Prime. AI Acceleration & Computing: Designed custom systolic arrays and Dot Product Engines (DPE) with real-time conversion for multiple precision formats (INT2–INT16, FP16/BF16 to FP32 IEEE-754). Dedicated multiplier and adders . System Integration & Protocols: Deep expertise in AXI4, AXI-Lite, and UART. Advanced memory access implementation using DMA through PCILeech-based frameworks. Processor Architecture: Pipelined processor design including data forwarding and stalling logic. Advanced Verification: Python and MATLAB co-simulation, FPGA-in-the-Loop ,self check testbenches ,Golden model comparison. Full project management from architectural design to deployment is my standard. Let's discuss your system requirements and build an architecture that scales efficiently.

• PROGRAMMING: Proficient in FORTRAN and experienced in Python, C, C++, and MATLAB. • PARALLEL COMPUTING: Skilled in implementing highly parallelized codes and schemes using MPI. Experienced in managing large volumes of data and proficient in data formats like NetCDF and HDF. • CFD: Developed custom CFD codes from scratch and worked with PDE and ODE solvers. • ML/AI: Proficient in statistics, with a solid grasp of machine learning algorithms, and skilled in utilizing ML libraries like scikit-learn, xgboost, etc..

I am a Full-Stack Developer specializing in Django and Angular with strong expertise in AI automation, web scraping, and Generative AI applications. I help startups, businesses, and SaaS platforms build intelligent systems that automate workflows, extract data, and deliver scalable web applications. Over the years, I have developed advanced solutions including AI-powered tools, automation pipelines, and high-performance web platforms. My expertise includes: • Full-stack web development using Django and Angular • AI automation tools and intelligent workflow systems • Generative AI integrations (GPT, LLMs, AI agents) • Web scraping and large-scale data extraction • REST APIs and microservices architecture • SaaS platforms and dashboard development • Data processing and automation scripts I focus on writing clean, scalable, and maintainable code while delivering reliable solutions tailored to business needs. If you need someone who can build modern AI-powered applications, automate complex processes, or develop robust web platforms, I would be happy to help.

Objective B.Sc. Aerospace Engineering (Cum Laude), M.Sc. Artificial Intelligence (ongoing). Skilled in Model Based Design using Matlab and Simulink, ROS2, AI model training, and data annotation.

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