Lakshya Karwa

Software Engineer

Bengaluru, Karnataka, India1 yr 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in optimizing deep learning systems for edge devices.
Co-authored research published in a top-tier journal.
Proficient in a wide range of AI and data science technologies.

Stackforce AI infers this person is a skilled AI/Deep Learning engineer with a strong focus on optimization and research.

Contact

Skills

Core Skills

Distributed SystemsLarge Language Models (llm)Model DevelopmentComputer Science

Other Skills

Robotic Process Automation (RPA)KerasStatistical AnalysisGenerative AIScholarly ResearchUnit TestingStatisticsMicrosoft AzureStatistical Data AnalysisPredictive ModelingPyTorchTensorFlowNatural Language Processing (NLP)Neo4jBig Data

Experience

1 yr 10 mos

Total Experience

6 mos

Average Tenure

1 yr 2 mos

Current Experience

Qualcomm

Engineer

Mar 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

The university of british columbia

Visiting Researcher

Jul 2024 – Oct 2024 · 3 mos · Kelowna, British Columbia, Canada · On-site

Indian institute of science (iisc)

Research Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Optimized Systems for Deep Learning on Edge Devices: Conducted research to enhance the performance of deep learning workloads on accelerated edge devices, focusing on system optimizations to improve efficiency and speed.
Powertrain: Worked on "Powertrain" tool, which predicts training time and power consumption for deep neural network (DNN) workloads on NVIDIA Jetson edge devices.
Published Research: Collaborated with other researchers to co-author "PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges" published in the FGCS (Future Generation Computer Systems) journal, which is ranked 2nd in the Google Scholar 2024 index.

Distributed SystemsLarge Language Models (LLM)