🎓 Electrical & Computer Engineering | MS Student at Columbia University (Ivy League) | Systems & IoT | Research-oriented Engineer
📍 MS-level ECE / Systems focus | Industry + R&D background In Hardware And Software | Tech Startup & Fortune 500 Corporate Experience
🎓 Alma Mater: National University of Singapore (B.Eng in Electrical Engineering) – Ranked Top 20 in Asia & Globally

I’m an Electrical & Computer Engineer with expertise in systems, IoT, AI, and applied engineering, currently pursuing my MS in Electrical & Computer Engineering at Columbia University, grateful to study at an Ivy League school in the heart of New York City.

Previously, I have worked at Schlumberger and Thales and multiple deep-tech startups in Singapore.

I enjoy working at the intersection of hardware, software, and large-scale systems, with a passion for systems engineering, robotics, AI, mathematics, finance, and quantitative problem-solving.

• Computer Architecture, Artificial Intelligence of Things, Embedded AI, and Deep Learning
• Embedded Systems and Modeling
• AI & Machine Learning Integration for Real-World Systems
• Applied Research on Graphical Processing Units (GPU)

I have extensive startup and corporate work experience, including a Fortune 500 MNC and multiple deep-tech startups at Block 71 & Block 73, One-North, Singapore.

• 🛠 Electronics & Hardware Design – Mechatronics startup founded by an ex-A*STAR Director of Research & Engineering
• 💻 IoT Software Engineer – NUS Graduate Research & Innovation Programme startup
• 📊 AI Product/Project Management – AI & Cyber Security startup led by ex-GovTech & CSA Directors
• 🤖 AI Research Engineer – Machine Learning & Computer Vision for construction safety startup

• 🏢 Product Engineering (Mechatronics) For Digital Systems – Schlumberger (Oil & Gas)
• 🏢 Design Innovation Engineer For Aviation Experience – Thales (Aerospace)
• 🔧 Research & Development – Focused on System Optimization, Automation, and Embedded Solutions

• Columbia Venture Capital & Entrepreneurship (Leadership Team) – Orchestrating tech startup collaborations, mentoring, and networking opportunities for engineering graduates
• Columbia Autonomous Racing Team (Path & State Planning Team) – Developing ROS motion algorithms, optimization techniques, and ensuring vehicle drive efficiency on curved tracks
• Columbia Student Navigator Team – Supporting >1000 graduates in academic and career guidance

• NUS Mars Rover Team (Electrical Team) – Designed and implemented power electronics, hardware selection, and electrical subsystems for university rover design challenges; team ranked Top 50 globally

C / C++ • Python • MATLAB • Embedded C • Verilog (basic) • SQL • Linux • Git • Bash

Microcontrollers & IoT Systems • Sensors & Actuators • System Integration & Testing • PCB Design (EagleCAD, Altium)

Signal Processing • Control Systems • System Modeling & Analysis • Debugging & Performance Optimization • GPU & CPU Architecture

Machine Learning • Deep Learning (TensorFlow, PyTorch, Keras) • Computer Vision • AI-based Project Management • ROS

(Pinned repositories highlight full details, setup instructions, and results)

• Embedded / IoT Systems – Sensor-based systems, data pipelines, control logic
• AI & ML Projects – Machine Learning for predictive systems and computer vision applications
• Systems & Architecture – Low-level programming, performance analysis, memory behavior
• Applied Engineering Projects – Industry-style problem solving and prototyping

➡️ See pinned repositories below for detailed documentation.

• Computer Architecture & Memory Systems
• Embedded & Cyber-Physical Systems
• AI & ML Applications for Industrial Systems
• Robotics & Autonomous Systems
• Energy & Industrial Systems
• Research-driven Engineering Roles
• Long-term: Systems Optimization & Quantitative Methods

• 💼 LinkedIn: https://www.linkedin.com/in/anuragschatterjee
• 📧 Email: ac5929@columbia.edu
• 🌐 GitHub: https://github.com/AnuragSChatterjee

⭐ If you find my work useful, feel free to explore, connect, or collaborate.