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Electronics and Electrical Engineering Student | Computer Science | Machine Learning Enthusiast

About Me

Hello! I'm Balaji, a computer science student at Georgia Institute of Technology, recently completed my bachelor's in Electronics and Electrical 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

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

Georgia Institute of Technology

Masters of Science in Computer Science

2025 – 2026

Experience

Computer Engineer Intern - Thales

June 2025 - August 2025 | Glasgow, UK

    • Researched on Pseudorandom Pulse Width Modulation Algorithm using triangle and sawtooth analogue signals for precise power control.
    • Designed the firmware to implement the algorithm in FPGA and PWM filter along with the JTAG Debugger for real-time testing.
    • Contributed to a large-scale multi-package ROS2 robotics workspace supporting sensor drivers, calibration tools, RTDE communication, and motion-planning modules for Universal Robots (UR).
    • Developed and extended packages for UR robot accuracy experiments, multi-step probing routines, and marker-based calibration, ensuring repeatable and deterministic behaviour across deployments.

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

CrackStore: Distributed Columnar Storage Engine with Adaptive Indexing

November 2025

  • Engineered a distributed columnar store implementing adaptive indexing (database cracking) across multi-node clusters, enabling automatic, self-tuning physical layouts without upfront index design.
  • Achieved 23.98× speedup from cold-start to steady state on 100M+ rows through adaptive refinement, validated over 8 distributed nodes.
  • Delivered horizontal scalability (83 percent efficiency) via asynchronous fan-out and containerized the full system using Docker and composed multi-node deployments for reproducible experiments, cluster bring-up, and failure recovery testing.

Extras

Brand Ambassador

  • Brand Ambassador for BAE systems at the University of Edinburgh
  • Got 20+ interested students in internships

HYPED - University of Edinburgh

  • Research Team
  • Project Manager and Team Member

Data Science @ GT

  • Applied Research Competitons
  • CLEF 2026

Technical Skills

Languages: C, Python, C++, Java, SQL, TypeScript, MATLAB, Verilog, VHDL, MIPS, RISC-V

Developer Tools: Git, Linux, AWS, Docker, React+Vite, LLVM, TensorFlow, PyTorch, JAX, Xilinx Vivado, ROS2, Altium, Arduino, STM32, CUDA, Computer Networks

Fun Zone: Terminal Adventure

Welcome to the Balaji Terminal! Type 'help' to see available commands.

guest@balaji-terminal:~$

Visitors