Abhishek Nair

AI Researcher

Bengaluru, Karnataka, India11 yrs 9 mos experience

Key Highlights

Expert in AI/ML algorithms for custom hardware.
Proficient in optimizing neural networks for embedded systems.
Experience with energy-efficient machine learning solutions.

Stackforce AI infers this person is a specialist in AI/ML hardware optimization and embedded systems.

Contact

Skills

Core Skills

Machine LearningEmbedded Systems

Other Skills

PythonC++CDebuggingDevice DriversTestingAndroidIntelVerilogMicrocontrollersPerlEmbedded SoftwareLinuxShell ScriptingLinux Kernel

About

AI/ML algorithm research for custom accelerators/ASIC Software optimizations for AI/ML/DL frameworks on CPU/GPU/FPGA/Microcontrollers/Embedded Systems Expertise on Hardware Accelerators for Neural Networks and Machine Learning Algorithms. Research Areas: tinyML, Energy Efficient Machine Learning, Approximate Computing, Neural Networks, Digital Design for ML, Brain Inspired Computing, Machine Learning, FPGA based hardware design for energy efficient computing, Microcontroller based tinyML classifier using tensorflow lite micro and embedded C code.

Experience

11 yrs 9 mos

Total Experience

2 yrs 1 mo

Average Tenure

1 yr

Current Experience

Nokia bell labs

AI/ML Algorithm Engineer

Jun 2025 – Present · 1 yr · Bengaluru, Karnataka, India · Hybrid

Fujitsu research

2 roles

Lead Software Engineer

Promoted

Jun 2024 – Jun 2025 · 1 yr · Bengaluru, Karnataka, India · Hybrid

Leading a team to enable LLMs on Many Core CPU systems

Senior Software Engineer

Jul 2023 – Jun 2024 · 11 mos · Bengaluru, Karnataka, India · Hybrid

Optimizing AI software for ARM based Super Computing Platform

Dimaag-ai

Senior Principal Engineer AI/ML

Mar 2023 – May 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

Optimizing Neural Networks and deploying them on CPU-based systems using C/C++.
Conversion of Pytorch/Tensorflow Models to Native C/C++ code.

PythonC++CMachine LearningEmbedded Systems

Conxai

Senior ML Hardware Engineer

Dec 2022 – Mar 2023 · 3 mos · Bengaluru, Karnataka, India · On-site

Optimization of Deep Neural Networks on GPU systems

Indian institute of science (iisc)

Postdoctoral Researcher - Project Scientist III

Feb 2022 – Oct 2022 · 8 mos · Bengaluru, Karnataka, India

Implemented Deep Learning algorithms such as Convolutional Neural Networks on hardware-constrained devices, including Microcontrollers and FPGAs.
The application space involves Vision-based tasks and Speech Identification.
Usage of TensorflowLite Micro Framework along with Arduino and Embedded C Libraries for Embedded System Deployment.
Worked on customer discovery program for a startup idea based on mmWave Radar human tracking.