Open to opportunities

Bhavya Agrawal

@bhavyaagrawal

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Signals and systems engineer blending chip-level optimization with embedded and ML-driven solutions.

India

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What I'm looking for

I’m looking for a role where I can own cross-layer signals-and-controls work, collaborate with hardware and AI teams, and ship reliable systems. I want strong technical mentorship, clear stakeholder alignment, and real impact from prototype to deployment.

I’m a Signals and Systems Controls Engineer focused on cross-layer signal transfer optimization for high-performance accelerator architectures. At AMD, I’ve served as the sole signals and systems engineer on a small, high-ownership team—owning signal pathway design and working closely with senior leadership and cross-functional partners.

My background bridges hardware and intelligent systems, from embedded and sensor-driven validation to computer vision model development. I’ve built Mask R-CNN pipelines in TensorFlow/Python for real-world inspection use cases, and I’ve delivered production-ready machine vision systems by repurposing available hardware under tight equipment budgets.

I bring a practical, low-cost engineering mindset—designing inspection workflows, debugging hardware-adjacent issues, and turning prototypes into deployments. I’m excited to keep combining precise signals-and-controls thinking with applied AI and systems integration to build reliable, next-generation products.

Experience

Work history, roles, and key accomplishments

Current

Signals and Systems Controls Engineer

Current

AMD (Advanced Micro Devices)

Sep 2023 - Present (2 years 10 months)

Served as the sole signals and systems engineer for a 7-person team, owning cross-layer signal transfer optimization for one of AMD’s flagship accelerator product lines. Worked with senior engineering leadership and cross-functional teams to shape technical direction and communicate status.

Signal Transfer Optimization Technical Communication

ML/AI Engineer Intern

Hermosa Design Studio

May 2022 - Aug 2022 (3 months)

Owned the computer vision model component for assessing wood quality, age, and density using Mask R-CNN models in TensorFlow and Python. Built cost-effective inspection solutions using existing equipment for VR, human-computer interaction, and robotics projects.

Mask R CNN Computer Vision TensorFlow Python Machine Learning VR Robotics Mask RCNNs

Software Developer Intern

Orilite Building Solutions

Oct 2021 - Dec 2021 (2 months)

Built and deployed a real-time billet detection system to production by repurposing existing surveillance cameras for machine vision. Owned the system end-to-end from prototype through live deployment to support factory automation within constrained equipment budgets.

SQL PLC Programming PyTorch Python C#Industry 4.0

Software Engineer Intern

Multimetals Limited

May 2021 - Aug 2021 (3 months)

Designed a low-cost backlight-based inspection system and repurposed Hikvision surveillance cameras to build a functioning machine vision inspection pipeline. Improved Raspberry Pi camera monitoring for molten metal by implementing a polarizing filter solution to enable precise defect detection.

Python MERLIC YOLO Raspberry Pi Deep Learning

Education

Degrees, certifications, and relevant coursework

Purdue University

Bachelor of Science, Computer Engineering

Activities and societies: Honors: Dean's List, Semester Honors; Teaching Assistant (College of Science and ECE); Ambassador, International Students and Services (ISS).

Earned a Bachelor of Science in Computer Engineering from Purdue University, graduating in August 2023.