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Balaji Anandganesh
Electronics and Electrical Engineering Student | Software Engineer | Machine Learning Enthusiast
About Me
Hello! I'm Balaji, a passionate Electronics and Computer Engineering student at the University of Edinburgh. I love exploring the intersection of hardware and software, diving deep into machine learning, and creating innovative solutions.
Education
The University of Edinburgh
BEng (Hons) Electronics and Electrical Engineering (Predicted First)
August 2022 – May 2025 | Edinburgh, UK
Key courses: Computer Architecture and Design, Software and Embedded Systems, Computer Networks, Secure Programming, Machine Learning, Sensor Networks and Data Analysis, Engineering Mathematics, Probability and Statistics, Signals and Communication Systems, Analogue Circuits
Experience
Summer Intern - Thales
June 2025 - August 2025 | Glasgow, UK
- Working on Pseudorandom Pulsewidth Modulation algorithm
Engineering Project Intern - Addepar
June 2024 – September 2024 | Edinburgh, UK
- Executed data migration from Snowflake to Addepar Data Lakehouse (ADL)
- Designed and implemented dashboards for R&D team productivity analysis
- Developed custom connectors using Airbyte, reducing project costs
Software Engineer - Robotical
November 2023 - March 2024 | Edinburgh, UK
- Developed a DIY Kinetic Art simulation robot
- Enhanced SandBot firmware using ESP IDF and REST API
- Designed motor controller on Arduino using direct memory access and PWM
Palantir Winter Fellowship - UK
December 2024
- Engineered an ontology-based embeddings on AI Platform (AIP) to support real-time complex legal workflows, providing augmented legal insights that improved decision-making speed by 200%.
- Delivered a proof-of-concept legal AI platform, showcasing innovation and creativity in solving real-world problems for the legal domain.
Projects
Thesis: Physics-Informed Neural Operator for Accelerating Electromagnetic Scattering Simulations
- This project evaluates the NVIDIA Modulus framework for simulating 2D electromagnetic fields (TM and TE modes) using physics-informed neural networks (PINNs).
- Benchmarked Modulus against the Finite Difference Time Domain (FDTD) method for accuracy, stability, and computational efficiency across varying domain sizes.
- Simulated wave propagation through domains with inhomogeneous material properties (varying permittivity and permeability), analyzing performance and learning behavior.
AutoAlign - A Self-Operating Atlassian App
Created an app for workflow optimization and team goal alignment, reducing project misalignment by 30% and increasing team productivity by 25%.
EnthyNotes: Hackathon Project using NLP
Developed an app that transforms educational videos into interactive learning experiences using AutoGPT, LangChain, and OpenAI GPT-3.5 API.
Snake Game
Designed and implemented a fully functional Snake Game on an FPGA platform utilizing Verilog hardware description language for the logic design and C programming for software interactions displayed on a monitor via VGA port.
October 2023
Extras
Brand Ambassador
- Brand Ambassador for BAE systems at the University of Edinburgh
- Got 20+ interested students in internships
Technical Skills
Languages: C, Python, C++, Java, SQL, JavaScript, MATLAB, Verilog
Developer Tools: Git, AWS Certified Cloud Developer, Databricks, Nvidia Modulus, Terraform, TensorFlow, Docker, Kubernetes, Apache, REST API, Arduino, Altium, Ghidra, Xilinx-Vitis, Jira, Confluence
Fun Zone: Terminal Adventure
Welcome to the Balaji Terminal! Type 'help' to see available commands.