Balaji Selvanathan

Software Engineer

Bengaluru, Karnataka, India8 yrs 9 mos experience

Key Highlights

Expert in optimizing C/C++ code for Intel CPUs and DSPs.
Strong background in Machine Learning and Industrial IoT.
M.Tech in Signal Processing from NIT Trichy.

Stackforce AI infers this person is a skilled engineer in Embedded Systems and Data Science with a focus on Industrial IoT.

Contact

Skills

Core Skills

Embedded Software EngineeringData Science

Other Skills

Software QualityTroubleshootingToolchainsProblem SolvingMachine LearningDeep LearningAnomaly DetectionData AnalysisProgrammingMultithreadingCode DesignCoding ExperienceBenchmarkingCritical ThinkingPerforce

About

Working in developing optimized C/C++ code/libraries for various Intel CPUs and Cadence Tenailica DSPs, especially for SIMD architectures. Also have experience in Data Science working in the areas of Machine Learning, Deep Learning and Industrial IoT. Strong professional with a M.Tech Degree in Signal Processing and B.Tech in Electronics and Communication from NIT Trichy.

Experience

8 yrs 9 mos

Total Experience

3 yrs 5 mos

Average Tenure

1 yr 6 mos

Current Experience

Qualcomm

Senior Lead Software Engineer

Nov 2024 – Present · 1 yr 6 mos · Chennai, Tamil Nadu, India · On-site

Intel corporation

Lead Embedded Software Engineer

Feb 2024 – Present · 2 yrs 3 mos · Bengaluru, Karnataka, India · Hybrid

Software QualityTroubleshootingEmbedded Software Engineering

Cadence design systems

2 roles

Lead Design Engineer

Jul 2023 – Jul 2024 · 1 yr · Bengaluru, Karnataka, India

Software QualityToolchainsEmbedded Software Engineering

Senior Design Engineer

Jan 2022 – Jul 2023 · 1 yr 6 mos · Bengaluru, Karnataka, India

Software QualityToolchainsEmbedded Software Engineering

Tata research development and design centre (trddc)

Researcher - Data Scientist

Jul 2017 – Dec 2021 · 4 yrs 5 mos · Pune Division, Maharashtra, India

Current job involves doing research in the field of Data Science to extract business value from the insights provided by the Industrial IoT data.
The research work is mainly focused on Machine Learning and Deep Learning based anomaly detection, diagnosis & prognosis and process optimization using deep reinforcement learning and evolutionary algorithms.
The research work carried out helps in developing innovatory and sophisticated end to end solutions for the customers in Manufacturing and Power plant industries.

TroubleshootingProblem SolvingData Science

Sandisk

Intern

May 2014 – Jul 2014 · 2 mos · Bengaluru, Karnataka, India

◦ The project work involved studying the architecture of various NAND chips, organization of USB controller and NAND commands.
◦ A tool was created for parsing and interpreting the Flash Bus Trace in USB Pen Drives.

Problem SolvingProgramming