Venkateswarlu Poluboina
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Audio | DSP | ML Researcher
As a researcher passionate about improving speech recognition in hearing devices, I've honed my skills in speech coding strategies and deep learning models. My expertise includes digital filter design (IIR, FIIR), optimization, embedded systems, and working with ARM cortex-m. With a post-graduate degree in embedded systems and a BTech in Electronics & Communication Engineering, I'm dedicated to pushing the boundaries of what's possible in this exciting field. From MATLAB to C and Python, I have gained a wealth of experience, allowing me to quickly and efficiently build high-quality software.
National Institute of Technology Karnataka
Doctor of Philosophy - PhD, Signal processing
July 1, 2018 – June 1, 2023
Jawaharlal Nehru Technological University, Anantapur
Embedded systems
March 1, 2018 – Present
Jawaharlal Nehru Technological University, Anantapur
Bachelor of Technology - BTech, Electronics and Communications Engineering
N/A – Present
Starkey Hearing
Firmware Engineer II
September 1, 2025 – Present
Andhra Pradesh, India
Telekonnectors Limited
Technical Lead (R&D)
January 1, 2024 – September 1, 2025
Chennai, Tamil Nadu, India · On-site
Amazon
Audio SDE (Contract employee)
July 1, 2023 – January 1, 2024
Bengaluru, Karnataka, India · On-site
National Institute of Technology Karnataka
Researcher
July 1, 2018 – June 1, 2023
India · On-site
Cultural Fit Analysis
The candidate's background in research and development, coupled with roles at Amazon and Starkey Hearing, suggests an adaptability to different organizational cultures. The focus on audio signal processing and machine learning aligns well with innovative and technically driven environments. However, the lack of detailed project descriptions makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's experience as a Technical Lead (R&D) suggests project management and team collaboration skills. The research role indicates problem-solving and analytical capabilities. However, specific examples or detailed descriptions of these soft skills are limited in the provided data.