Shreshtth Joshi

Software Engineer

Delhi, India10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI models increasing exercise offerings by 150%.
Researched healthcare problems using advanced Deep Learning techniques.
Proficient in front-end development with certification from Meta.

Stackforce AI infers this person is a skilled AI Developer with experience in Health and Fitness Tech.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Computer VisionDeep LearningPython (programming Language)

Other Skills

Unsupervised LearningSupervised LearningReinforcement LearningSoftware Development Life Cycle (SDLC)Computer NetworksSupply Chain ManagementCorporate Social ResponsibilitySportsFitnessHealthcareGOAgile & Waterfall MethodologiesScrumQuality AssuranceMatplotlib

About

Currently enrolled at Delhi Technological University (Formerly DCE), I work as an AI Developer, applying my machine learning specialization and quality assurance skills to various projects in the field of computer engineering. I am also proficient in front-end development, having completed a certification course from Meta, where I learned how to design and implement user-friendly and responsive web pages using HTML, CSS, and JavaScript. I am passionate about exploring new technologies and developing innovative solutions that can benefit society. I am currently pursuing a Bachelor of Technology in Computer Engineering from DTU, where I have acquired a strong foundation in computer science and engineering principles. I am looking for opportunities to collaborate with other researchers and professionals who share my vision and values.

Experience

10 mos

Total Experience

10 mos

Average Tenure

10 mos

Current Experience

Amazon

2 roles

SDE 1

Aug 2025 – Present · 10 mos · Hyderabad, Telangana, India · On-site

SDE Intern

Jan 2025 – Jun 2025 · 5 mos · Hyderabad, Telangana, India · On-site

Wecoach.ai

AI Software Developer

May 2024 – Aug 2024 · 3 mos · Delhi, India · Hybrid

Developing and implementing AI models and strategies for sports and collaborated with cross-functional teams to integrate solutions in an Agile setup, while gaining hands-on experience and mentorship, in a dynamic health and fitness tech environment. Increased exercises offered by 150% and improved accuracy by ~20%.

Computer VisionArtificial Intelligence (AI)

Delhi technological university (formerly dce)

Research Intern

Feb 2024 – Apr 2024 · 2 mos · Delhi, India

Researched on a healthcare-related problem statement, utilizing Deep Learning Neural Networks like VGG-19, ResNet-50, etc. to enhance the performance metrics and accuracy. The Conference Paper is in drafting stage.

Python (Programming Language)Deep Learning