Tarun A.

Software Engineer

India3 yrs experience

Key Highlights

Expert in C++17 with extensive infrastructure architecture experience.
Proven track record in power optimization techniques.
Strong background in machine learning and deep learning frameworks.

Stackforce AI infers this person is a Semiconductor and Technology expert with a focus on Machine Learning and Power Optimization.

Contact

Skills

Core Skills

Power OptimizationMachine LearningDeep LearningComputer Vision

Other Skills

C++17Compiler DesignData ScienceDebuggingEmulationKerasPower Optimization & gating techniquesSynthesis

About

highly experienced with c++17 , architectured multiple infra's from scratch. i have worked in power optimization in joules helping optimization techniques like ODC, SDC, logic gating to develop from scratch, developing and assisting infrastructures. was responsible for multiple features and commands. I'm currently working with Emulation Backend compiler infra. my team is majorly responsible for netlist optimization, partitioning and instrumentation.

Experience

Full-time

Synopsys Inc

– Present · helped me get this job

Cadence design systems

Research Software Engineer

Jul 2019 – Mar 2022 · 2 yrs 8 mos

Part of Power Optimization RD team. Majorly responsible for implementation of multiple power reduction feature and techniques at RTL level. designed and implemented multiple architectures for robust and coherent support of all features.
Got Multiple awards and On spot bonuses.
for first year , worked with GUI team on QT framework majorly responsible for Genus Schematic engine.

DebuggingPower Optimization

Ismriti

Machine Learning Engineer

Apr 2019 – Jun 2019 · 2 mos · IIT Kanpur

Part of BCI research group under Prof. L.D. Behra at Western Lab - 212 IIT Kanpur
Responsible for designing sequential models for noise cancellation in EEG Epoch data and develop robust algorithms for BCI research in field of law enforcement.

KerasDebuggingMachine Learning

Microsoft

MTC Undergrad Developer Intern

Apr 2018 – Aug 2018 · 4 mos · Bengaluru, Karnataka, India

Part of student developer program under MTC Microsoft banglore. Responsible for independent research On Various Modern deep learning frameworks like Tensorflow, CNTK, PyTorch, Caffe2, theano ... how they are compare to Microsoft's own CNTK.
Part of Microsoft Client project , responsible for anomaly detection in feedback network and prediction of delivery time for feedback packets.

KerasDebuggingDeep Learning

Indian institute of technology, delhi

Undergraduate Research Intern at Computer Vision lab - IIT Delhi

May 2017 – Jun 2017 · 1 mo

Worked on Multiple object based motion tracking under Prof. P.K. Kalra at Computer vision lab. Implemented the HoG feature extractor from scratch with help of bill-navneet paper and tuned the window size for optimal detection of objects as a input for SVM classification.

KerasDebuggingComputer Vision