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Vineethanand Hariharan

AI/ML Software Engineer

Bengaluru

13+ years of work experience

d-Matrix
Feb 20251 yr 8 mosPresent

Bengaluru, Karnataka, India

Leading and Architecting the AI frameworks to run Deep Learning inference with cutting edge LLMs, Multimodals on the accelerator hardware for data center AI solutions. Performance & Accuracy benchmarking for CLIP, GPT2, LLama, Whisper models in Huggingface dataset Engineering sophisticated predictive features from internal and external data assets to optimize customer profiling.
Intel Corporation
Dec 20204 yrs 4 mosMar 2025

Bengaluru, Karnataka, India

Contributing towards the deep learning validation libraries of intel AI solutions. • Develop, design, and maintain the framework for running cutting edge Deep learning workloads and report the performance and accuracy analysis. • Debug issues in workload performance using host trace analysis. • Debug issues in device memory by adding extra debug python code in models like Bert-Large, Resnet family, Unet2D, Unet3D etc. • Enabling latest Hugging face models to run on Intel AI specific hardware and contributing towards the validation libraries of Intel specific hugging-face repository. • Debug issues in correctness and determinism using the model architecture breakdown
ASM Technologies Ltd
Oct 20203 mosDec 2020

Bengaluru, Karnataka, India

Collaborating with KNS to develop and maintain Wedge Bonder tool and the supporting frameworks and infrastructure. Handled small features in VxWorks and Linux signal handling, also added unit tests and coverage tools for the python module that handles messaging and DB interaction with the Wedge Bonder tools.
KLA
Jul 20155 yrs 4 mosOct 2020

Greater Chennai Area

Designing and developing software application components and image processing algorithms for semi conductor inspection systems. Taken responsibility from requirements collection, design and implementation of application user interface through algorithms for different functionalities of front-end and edge inspection tools adhering to maintainability, scalability and optimization. Developed protoype algorithms in Matlab, Python and ported it to C++ to run faster in a multi-threaded production environment. Very good background in image clustering, machine learning and deep learning algorithms for classification systems.
KLA
Sep 201411 mosJul 2015

Greater Chennai Area

A study and prototype of improving a supervised classification model generated using Linear Discriminant Analysis by providing synthetic training examples for a given category of input using Perturbation Modeling.
Broadcom
May 20111 yr 5 mosSep 2012

Quality Assurance of Broadcom Wireless drivers in embedded systems. Developing and executing scripts using the wireless driver utility commands for Broadcom wireless chip sets in embedded systems. Developing test suits to validate the wireless features in an undisturbed and flaw less environment to get highest throughput and analyze communication standards in the network packets using packet analyzer tools for validation.
GitHub
@Vineethanand
LeetCode
@vineethanandh

Vineethanand’s AI Stack

claude
claude
gemini
gemini
langgraph
langgraph
langsmith
langsmith
openai
openai

Education

National institute of technology Calicut

Mtech, Computer Science

National institute of technology Calicut

20132 yrs2015
Cochin University of Science and Technology

Bachelor's degree, Computer Science

Cochin University of Science and Technology

20074 yrs2011

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Headline

AI/ML Software Engineer

About

Software Engineer with profound experience in designing and implementing distributed software applications. Working in cutting edge AI software solutions for modern era data centre requirements. Hands on in Large Language model, Multi modals inference and training. Very good understanding of deep learning fundamentals and hands-on experience in frameworks like Pytorch, Transformer etc. Strong experience in developing software and algorithms for semiconductor wafer inspection systems using image processing and Statiscal analysis.

Location

Bengaluru

AI stack

claude

gemini

langgraph

langsmith

openai

Work experience

Senior Staff Engineer at d-Matrix, Feb 2025 - Present · 1 yr 8 mos, Bengaluru, Karnataka, India, Leading and Architecting the AI frameworks to run Deep Learning inference with cutting edge LLMs, Multimodals on the accelerator hardware for data center AI solutions. Performance & Accuracy benchmarking for CLIP, GPT2, LLama, Whisper models in Huggingface dataset Engineering sophisticated predictive features from internal and external data assets to optimize customer profiling.

AI Software Engineer at Intel Corporation, Dec 2020 - Mar 2025 · 4 yrs 4 mos, Bengaluru, Karnataka, India, Contributing towards the deep learning validation libraries of intel AI solutions. • Develop, design, and maintain the framework for running cutting edge Deep learning workloads and report the performance and accuracy analysis. • Debug issues in workload performance using host trace analysis. • Debug issues in device memory by adding extra debug python code in models like Bert-Large, Resnet family, Unet2D, Unet3D etc. • Enabling latest Hugging face models to run on Intel AI specific hardware and contributing towards the validation libraries of Intel specific hugging-face repository. • Debug issues in correctness and determinism using the model architecture breakdown

Senior Software Engineer at ASM Technologies Ltd, Oct 2020 - Dec 2020 · 3 mos, Bengaluru, Karnataka, India, Collaborating with KNS to develop and maintain Wedge Bonder tool and the supporting frameworks and infrastructure. Handled small features in VxWorks and Linux signal handling, also added unit tests and coverage tools for the python module that handles messaging and DB interaction with the Wedge Bonder tools.

Software/Algorithm Engineer at KLA, Jul 2015 - Oct 2020 · 5 yrs 4 mos, Greater Chennai Area, Designing and developing software application components and image processing algorithms for semi conductor inspection systems. Taken responsibility from requirements collection, design and implementation of application user interface through algorithms for different functionalities of front-end and edge inspection tools adhering to maintainability, scalability and optimization. Developed protoype algorithms in Matlab, Python and ported it to C++ to run faster in a multi-threaded production environment. Very good background in image clustering, machine learning and deep learning algorithms for classification systems.

Software Intern at KLA, Sep 2014 - Jul 2015 · 11 mos, Greater Chennai Area, A study and prototype of improving a supervised classification model generated using Linear Discriminant Analysis by providing synthetic training examples for a given category of input using Perturbation Modeling.

Software Engineer 1 at Broadcom, May 2011 - Sep 2012 · 1 yr 5 mos, Quality Assurance of Broadcom Wireless drivers in embedded systems. Developing and executing scripts using the wireless driver utility commands for Broadcom wireless chip sets in embedded systems. Developing test suits to validate the wireless features in an undisturbed and flaw less environment to get highest throughput and analyze communication standards in the network packets using packet analyzer tools for validation.

Education

Mtech, Computer Science, National institute of technology Calicut

Bachelor's degree, Computer Science, Cochin University of Science and Technology

Public links

github: https://github.com/Vineethanand

leetcode: https://leetcode.com/vineethanandh