Aakash K.

CEO

Ithaca, New York, United States5 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Pioneered optimization algorithm for AI/ML models.
Awarded Samsung Excellence Award for impactful research.
Expertise in non-invasive biomedical device design.

Stackforce AI infers this person is a Biomedical Engineer specializing in AI-driven healthcare solutions.

Contact

Skills

Core Skills

Machine LearningBiomedical DevicesElectrical EngineeringArtificial Intelligence (ai)Speech RecognitionTeaching

Other Skills

Python (Programming Language)Applied Machine LearningNear-Field RF SensorsBiomedical ResearchNASDeep LearningPythonDigital Signal ProcessingOperating SystemsData StructuresStatistical InferenceDigital Image ProcessingMarkov ChainsBiometricsSignal Processing

About

Electrical Engineering Doctoral Student at Cornell University currently pursuing non-invasive biomedical characterization and system design. I have spent 1.5 years prior working on Neural Architecture Search at Samsung Research wherein mr and my team pioneered an optimization algorithm (patent under process) to speed up AI/ML model execution and storage.

Experience

Cornell university graduate school

2 roles

PHD Candidate

Aug 2025 – Present · 8 mos · Ithaca, New York, United States · On-site

Python (Programming Language)Applied Machine LearningMachine LearningBiomedical Devices

PHD Student

Aug 2022 – Jul 2025 · 2 yrs 11 mos · Ithaca, New York, United States · On-site

At the Edwin Kan Lab, I research and design non-invasive devices for biomedical characterization, physiological feature extraction and biometric recognition.

Near-Field RF SensorsBiomedical ResearchBiomedical DevicesElectrical Engineering

Samsung r&d institute india

3 roles

Senior Research Engineer

Mar 2022 – Jul 2022 · 4 mos

Worked on enablement of cutting edge Computer Vision models on low-resource mobile environments by the application of Neural Architecture Search.
Co-created and prototyped a novel inference technique for significant improvements in ML model computation (Patent underway)
Awarded the Samsung Excellence Award in “Research to Development” for working in research that yields market advantages, generates patents and publications, and helps enhance software development ecosystem

NASDeep LearningArtificial Intelligence (AI)Machine Learning

Research Engineer

Promoted

Jan 2021 – Feb 2022 · 1 yr 1 mo

Collaborating with Vision Intelligence teams, my work in the Device Intelligent team helped enable AI accelerated use cases for Samsung’s flagship devices.
Our work focused in the area of Neural Architecture Search as a method to generate higher quality and lower resource using ML models
Awarded the Samsung Excellence Award as the “Star of the Quarter” for excellence in work, extraordinary commitment, and achievements beyond functional scope and process improvements.

Deep LearningPythonArtificial Intelligence (AI)Machine Learning

Voice Intelligence

May 2019 – Jul 2019 · 2 mos · Bangalore Urban district, Karnataka, India

I worked in the Voice Intelligence team to understand, analyze and characterize demographic insights on speech data collected from various sources. I made use of the Kaldi toolkit to implement a DNN embedding based (X-Vector) method for Automatic Speech Recognition use cases

Speech RecognitionApplied Machine LearningMachine Learning

Jarvis

Data Scientist

Nov 2017 – Dec 2017 · 1 mo · Mumbai, Maharashtra, India

Created a web crawler and scraper to generate an in-house news aggregator and analyzer to replace dependency on 3rd party softwares
Used SciKit’s NLP tools to improve news aggregation quality

Indian institute of technology, bombay

Teaching Assistant

Jul 2017 – Nov 2017 · 4 mos · Mumbai, Maharashtra, India

Assisted professors and co-ordinated with other TAs during Fall 2017 as part of my duties. Taught and assisted a cohort of ~50 first year undergraduate students in improving their understanding of the Introductory Quantum Physics course (PH107).

Teaching