Naveen K

CEO

Bengaluru, Karnataka, India3 yrs 10 mos experience

Key Highlights

Expert in Machine Learning and Data Science.
Proven track record in developing high-accuracy predictive models.
Strong foundation in programming languages and data structures.

Stackforce AI infers this person is a Data Science and Machine Learning expert with a focus on AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningC++Django

Other Skills

AlgorithmsCComputer ScienceData StructuresHTMLJavaMySQLOpenVINOPythonTensorRT

About

We don't always get what we wish for, but we get what we work for, the iconic words of my life. My belief in my own passion never let me to settle for less when I know I deserve the best. I'm being a big knowledge seeker and Sophophilic driven my grand path towards engineering career, specialized in Information Technology as bits and bytes are intimidating the globe!

Experience

3 yrs 10 mos

Total Experience

11 mos

Average Tenure

Current Experience

5c network

Principal Data Scientist

Feb 2023 – Feb 2025 · 2 yrs · Bengaluru, Karnataka, India · On-site

Animall

2 roles

DS Consultant

Sep 2022 – Oct 2022 · 1 mo

Data Scientist

Jun 2021 – Aug 2022 · 1 yr 2 mos

Krayen inc. (acquired by 5c network)

Co-Founder and Head of AI

Aug 2022 – Nov 2022 · 3 mos · Coimbatore, Tamil Nadu, India

Multicoreware inc

ML Intern

Dec 2020 – May 2021 · 5 mos · Chennai, Tamil Nadu, India

i) Developed a model to predict the Hand gesture with 27 classes and the dataset used for training is 20bn-jester.
ii) Achieved an accuracy of 92% in test data(resnet(2+1)d).
iii) Reduced the GMAC to 0.33 from 1.12 with an accuracy of 90 percent(Motion Fused Flow).
iv) Created Openvino model and inference pipeline in c++ to reduce the inference time from 3 sec to 0.8 sec of the Motion Fused Flow.
v) Reduced the inference time of 3D resnet model from 0.5 sec to 0.006 sec by using TensorRT inference engine.

C++Machine LearningPythonOpenVINOTensorRT

Worxogo

Intern Trainee

Dec 2019 – Dec 2019 · 0 mo · Bangalore

Developed a Django API using various machine learning classifiers to analyze UCI Adult dataset and determine if a person makes over 50K a year
Trained and tested various Machine Learning models using Python and achieved >90% accuracy
Created an API to predict the machine learning classifier and employed with GridSearchCV to improve accuracy for a given data set

DjangoMachine LearningPython