Resume

Education

OLIN COLLEGE OF ENGINEERING, NEEDHAM, MA
MAY 2025

Bachelor of Science in Electrical and Computer Engineering
GPA: 3.92

Skills

Python, C/C++, Flutter, Node.js, Amazon Web Services, MATLAB, HTML, CSS, SQL, SOLIDWORKS, LabVIEW, GO, SystemVerilog, VHDL, Vivado, Linux, ROS

Experience

STAFF SOFTWARE ENGINEER AT APPLIED PHYSICAL SCIENCES

SEPTEMBER 2025-PRESENT

  • Developing firmware and simulation software for large-scale underwater signal processing systems
  • Designing low-power hardware systems for operation in resource-constrained environments.

RESEARCHER AT NICS LABORATORY AT UNIVERSITY OF OKLAHOMA

AUGUST 2023-PRESENT

  • Published and presented IEEE paper on analog neuron design optimization for Low-Power and High-Speed Neuromorphic Computing Systems
  • Designing experiments for analog neurons in 22nm CMOS and 7nm FinFET to identify optimal operating conditions for minimizing power consumption while maintaining biological fidelity
  • Developed mathematical and computational models for diverse spiking-neuron frameworks using continuous-time ODE systems to analyze stability, bifurcations, and analog neuron dynamics

TEACHING ASSISTANT AT OLIN COLLEGE

AUGUST 2023-MAY 2025

  • Teaching assistant for Machine Learning, Computer Architecture and Neurotechnology at Olin
  • Designed the entrepreneurship components of the Microbial Diversity course at Olin

SIGNAL PROCESSING INTERN AT APPLIED PHYSICAL SCIENCES

MAY-DECEMBER 2024

  • Designed and simulated underwater signal receive chain for large-scale FPGA systems
  • Implemented and optimized advanced filtering and detection techniques in VHDL achieving ~25% reduction in memory usage and significant improvements in computation speed

RESEARCHER AT OCCAM LABORATORY AT OLIN

JANUARY 2022-MAY 2023

  • Implemented and tested Graph based Simultaneous Localization and Mapping (SLAM) algorithms for invisible mapping in Clew, which is an assistive app for the blind
  • Improved accuracy and speed of AprilTag detection using sparse bundle adjustment
  • Predicted paths in dynamic environments by applying particle filters to measurements from phones

Activities and Projects

ENGINEER FOR SENIOR CAPSTONE PROJECT FOR PFIZER

  • Developed an LLM-based tool using RAG for Pfizer's Global Clinical Supply (GCS) team to analyze large datasets, assess risks, and optimize clinical trial supply chain processes
  • Redesigned GCS data frameworks to support consistent, scalable dataset use across teams and improve integration with AI-driven tools

FPGA PROGRAMMING/ANALOG CIRCUITRY

  • Designed and implemented parts of Tensor Processing Units and neural networks onto FPGAs
  • Designed and implemented Multicycle and Pipelined RISC-V CPU on FPGAs

Publications

  • Siddique, R., Eftimie, M., & Banad, Y. M. (2024). A comparative analysis of neuromorphic neuron circuits for enhanced power efficiency and spiking frequency in 22nm CMOS technology. 2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), Springfield, MA, USA.
  • Ruvolo, P., Chakraborty, A., Dave, R., Li, R., Mazza, D., Shen, X., ... & Suresh, K. (2023). The Invisible Map: Visual-Inertial SLAM with Fiducial Markers for Smartphone-based Indoor Navigation. arXiv:2310.10862.