Khadga Jyoth A

Data Scientist

Bengaluru, Karnataka, India2 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Data Science and AI expertise with multiple challenge wins.
Proven track record in improving machine learning models.
Strong academic background with top grades in relevant fields.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on machine learning applications.

Contact

Skills

Core Skills

Deep Learning

Other Skills

Data ScienceCritical ReadingLiterature ReviewsLarge Language Models (LLM)CrewAIAlgorithmsLeadershipArtificial Neural NetworksText MiningTensorFlowTransformer ModelsTeam ManagementData AcquisitionJupyterGradio

About

Working on Artificial Intelligence

Experience

2 yrs 8 mos

Total Experience

1 yr 9 mos

Average Tenure

11 mos

Current Experience

Meesho

Data Scientist - I

Jun 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Indian institute of technology jodhpur

Teaching Assistant

Aug 2023 – May 2025 · 1 yr 9 mos

Aide school at iit jodhpur

Summer Internship - Knowledge Distillation using Masked Vision Transformer

May 2022 – Jul 2022 · 2 mos · Remote

Under Dr. Deepak Mishra SAIDE, IIT Jodhpur, I developed and implemented a novel data augmentation technique using masked vision transformers (MViT) for knowledge distillation in image classification tasks.
Improved image classification accuracy from 74.8% to 76.2% using MViT and outperformed some state-of-the-art and basic baseline methods.

Data ScienceDeep Learning

Iiser bhopal

Winter Internship - Research project on detecting driver inattention using IoT and ML

Dec 2021 – Dec 2021 · 0 mo · Remote

Under the guidance of Dr. Haroon Lone, I reviewed the paper “DriverSonar: Fine-Grained Dangerous Driving Detection Using Active Sonar” and other related papers on dangerous driving detection.
Proposed a novel system using acoustic signals and alcohol sensors to detect and prevent drowsiness and drunk driving.
Addressed the privacy, accuracy, and reliability issues of existing methods by capturing the behavioral and chemical information of the driver.

Critical ReadingLiterature Reviews