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Senior Machine Learning Engineer at Splice
* Experience in all stages of developing deep learning system - building database, feature extraction, architecture engineering, training, validation, testing, optimization and product integration. * Good understanding of Deep learning and Machine learning algorithms. * Proficient in implementation and optimization of algorithms on a mobile/embedded platform. * Hands on experience in design, implementation and optimization of Multi-threaded software. Interests: - Deep Learning - Audio signal processing - Computer vision - Machine learning Programming Languages : C, C++, Python. Tools : GitHub, SVN, CVS, Makefiles, GNU toolchain, Eclipse, Visual Studio. Scientific Computing : Keras, Tensorflow, MATLAB, NumPy, Pandas, Scikit-learn, Scipy.
University of Southern California
Master’s Degree, Electrical Engineering
N/A – Present
RV College Of Engineering
BE, Electronics and Communication
N/A – Present
Splice
Senior Machine Learning Engineer
January 1, 2020 – Present
Splice
Machine Learning Engineer
March 1, 2018 – January 1, 2020
Red Pill VR
Machine Learning Engineer
June 1, 2016 – February 1, 2018
Los Angeles Metropolitan Area
Red Pill VR
Machine Learning Intern
January 1, 2016 – May 1, 2016
Los Angeles Metropolitan Area
Intel Corporation
Graphics Software Engineering Intern
May 1, 2015 – August 1, 2015
Santa Clara
University of Southern California
Video Researcher
February 1, 2015 – October 1, 2015
Tower Lab - Molecular Biology Department
Ittiam Systems Pvt Ltd
Senior Engineer
October 1, 2013 – June 1, 2014
Bangalore
Ittiam Systems Pvt Ltd
Engineer
July 1, 2011 – October 1, 2013
Bangalore
National Instruments
Intern
January 1, 2011 – May 1, 2011
Project Vyoma
August 1, 2010 – June 1, 2011
Project Vyoma is a UAV project at RVCE, designing and developing Unmanned Aerial Vehicles. As I team member, I contributed towards Quad-Copter design and Remote Data logger design for controlling and monitoring unmanned vehicles.
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research (USC), startups (Red Pill VR), and established companies (Splice, Intel, Ittiam Systems). The project 'Vyoma' demonstrates initiative and interest in complex engineering challenges. The progression within Splice from ML Engineer to Senior ML Engineer indicates a capacity for sustained contribution and growth within an organization. However, the project descriptions are somewhat brief, limiting a deeper understanding of collaborative contributions or broader interests. The focus on ML roles aligns well with the target role, but the breadth of experience outside core ML (e.g., graphics software, video coding) suggests adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights a progression from Engineer to Senior Machine Learning Engineer, suggesting strong growth and leadership potential. Descriptions of contributions to projects like UAV design and real-time audio processing indicate problem-solving abilities and practical application of technical skills. However, without specific assessment data on communication, logical reasoning, or teamwork, a definitive evaluation of soft skills and operational fit is limited.