Ishika Kulkarni
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Electrical Engineering · UCLA ’27

Ishika Kulkarni

I build systems at the intersection of AI/ML and hardware. Computer vision pipelines, robots, radar and wireless communication systems. If it senses, learns, or moves, I’ve probably built it.

About

I’m a fourth-year electrical engineering student at UCLA who’s passionate about research and industry-level revolution that goes above and beyond academic learning.

Ishika Kulkarni
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portrait, 4:5

I work at the intersection of AI/ML, wireless communication technologies, and robotic systems, where a model has to hold up against real sensors, real motion, and a real power budget.

I’m particularly interested in:

  • AI systems that interact with the physical world
  • System and design verification
  • Robotics and perception pipelines
  • ML applications across hardware and software systems
  • RF sensing, wireless communication, and the ML that sharpens both

I build impactful, real-world systems.

Experience

Research and industry roles in machine learning, wireless systems, robotics, and hardware design.

AI/ML Intern

–

IBM · Lucknow, India

Contributed to a hospital-document OCR pipeline by building its end-to-end image preprocessing stage and incorporating agentic AI solutions.

RF & Wireless Communications Researcher

– Present

CORES Lab, UCLA · Advised by Prof. Danijela Cabric (IEEE Fellow)

Designing ML-assisted mmWave radar algorithms that track multiple targets across 5G/6G without exhaustive beam scanning, and building the RFSoC correlation pipeline underneath.

Undergraduate Research Assistant

– Present

LEMUR (Laboratory for Embedded Machines and Ubiquitous Robots), UCLA · Advised by Profs. Ankur Mehta & Anushri Dixit

Engineering an amphibious quadrupedal robot that navigates both land and water.

Computer Vision & ML/AI Researcher

– Present

Visual Machines Group, UCLA · Advised by Prof. Achuta Kadambi

Benchmarking vision coding agents and building layered image diffusion techniques that improve editability by nearly 30%.

Software Analyst Intern

–

Atob Fuel Card · San Francisco, CA

Built the company’s end-to-end risk-scoring pipeline for the purpose of real-time prediction fraud detection.

Hardware Developer

–

Project Digital Design, Architecture & Verification · IEEE at UCLA

Designed a modular FPGA game system in SystemVerilog spanning multiple clock domains.

Lead Resident Assistant

– Present

UCLA Residential Life

Leading programming, peer mentorship, and crisis response for a residential community.

Undergraduate Teaching Assistant

–

UCLA Physics 5BL

Facilitated hands-on laboratory sessions in thermal physics, fluids, waves, and optics for a section of 30 undergraduate students.

Technical Skills

Languages, frameworks, and platforms I work in.

AI & Machine Learning

Agentic AIAI Agents Large Language ModelsDeep Learning Computer VisionNeural Networks

Programming Languages

CC++Java PythonSystemVerilogVerilog SQLx86 Assembly

Python Libraries & Data

PyTorchTensorFlowOpenCV NumPyPandasMatplotlib PaddleOCRPyGame

Frameworks & Hardware

ReactASP.NETHTML CSSRMATLAB JIRAFPGAArduino Soldering

Cloud Platforms

Google Cloud (GCP)AWSMicrosoft Azure

Databases

MySQLOracleMongoDB

Operating Systems

LinuxUnixWindows

Let’s connect!

Open to internship and new-grad opportunities in machine learning, computer vision, embedded systems, and hardware design. I'll respond within a couple of days.