Ravish Kumar

Software Engineer

Mumbai, Maharashtra, India8 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI and ML with a focus on practical applications.
Proven track record in developing high-accuracy predictive models.
Strong background in education and curriculum design for tech professionals.

Stackforce AI infers this person is a skilled AI/ML engineer with a strong focus on education and practical applications in technology.

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Skills

Core Skills

Computer VisionDeep LearningEducationCurriculum DevelopmentNatural Language Processing (nlp)Systems EngineeringMachine Learning

Other Skills

E-LearningPython (Programming Language)Neural Architectural SearchMLOPsPruningKnowledge DistillationQuantizationEntrepreneurshipProduct Design and GrowthEducation and Curriculum DesignTeachingMentorshipData Structures and AlgorithmsPythonPhysics

About

I am a guide who helps tech professionals master computer science and build next-generation technology. I continuously strive to simplify AI and ML concepts, helping tech professionals implement industrial projects. My guiding principles are patience, continuous learning and improvement, collaboration, and thinking of out-of-the-box solutions. Key Skills and Interests - Computer Vision - Neural Architectural Search - MLOPs - Pruning, Knowledge Distillation, Quantization - Machine Learning - Deep Learning - Entrepreneurship - Product Design and Growth - Education and Curriculum Design - Teaching, Mentorship - Data Structures and Algorithms - Python - Physics - Mathematics Enjoy learning algorithms!

Experience

8 yrs

Total Experience

2 yrs 11 mos

Average Tenure

5 yrs 2 mos

Current Experience

Deeplite

Senior Deep Learning Engineer

Feb 2022 – Apr 2025 · 3 yrs 2 mos · India

► Maintaining Open-source Pytorch-based deeplite-torch-zoo: https://github.com/Deeplite/deeplite-torch-zoo
► Hardware-aware Neural Architecture Search.
► Custom model architecture for Object detection.

Computer VisionPython (Programming Language)Deep Learning

Kpit

3 roles

Technical Lead

Oct 2021 – Jan 2022 · 3 mos

► NLP: Automate the INCOSE rule violation detection process in textual requirements provided by various customers.
► Backend: Successful integration of python backend with the requirement analyzer tool.

Natural Language Processing (NLP)Systems Engineering

Software Engineer

Jun 2018 – Oct 2021 · 3 yrs 4 mos

► Successfully developed the deep-learning model to predict the State of Health (SoH) and Remaining Useful Life (RUL) of Lithium-ion Batteries used in electric and hybrid vehicles. Achieved testing accuracy of 99.2% on unseen data. (Publication work is underway)
► Successfully developed the deep-learning model to predict the State of Charge (SoC) of Lithium-ion batteries used in electric and hybrid vehicles. Achieved testing accuracy of 97.6% on completely unseen data. (Publication work is underway)
► Evaluated AI-based startups who participated in the National Level KPIT Sparkle Event.
► Automated the process of data generation by integrating the deep-learning-based object-detection model with the virtual simulator.

Machine LearningDeep Learning

Software Engineer

May 2017 – Jul 2017 · 2 mos · Pune, Maharashtra, India

► Successfully designed and implemented the classification as well as regression algorithms in MATLAB and Python framework respectively using CNN layers and Image processing techniques.
► Used Udacity Simulator to generate training data and integrated the developed model with virtual simulator for real time performance.
► Achieved 91.4% accuracy in Matlab code with SGDM as optimizer and deviation within a range of -5-to-+5 degree from the actual steering angle in Python code with ADAM as optimizer tested on 11K image dataset.