Aziz Shameem

AI Researcher

India2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Silver Medalist from IIT Bombay
Experience in Deep Learning and AI research
Interned at Qualcomm and EPFL

Stackforce AI infers this person is a Data Science and AI specialist with experience in Telecommunications and Healthcare.

Contact

Skills

Core Skills

Deep LearningArtificial IntelligenceData AnalysisComputer VisionModem Systems Engineering

Other Skills

Statistical AnalysisDenoising Diffusion Probabilistic ModelsVariational AutoEncodersNew Radio channel estimationChannel modellingMachine LearningData AnalyticsControl Systems DesignData Mining

Experience

2 yrs

Total Experience

1 yr 3 mos

Average Tenure

9 mos

Current Experience

Meesho

Data Scientist-1

Jul 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

Indian institute of technology, bombay

2 roles

Teaching Assistant

Jun 2024 – May 2025 · 11 mos · On-site

For the Course DS203 : programming for Data Science

Teaching Assistant

Jan 2024 – May 2024 · 4 mos · On-site

For the Course CS419 : Introduction to Machine Learning

Epfl

Computer Vision Intern

May 2024 – Jul 2024 · 2 mos · Lausanne, Vaud, Switzerland · On-site

Working on Denoising Diffusion Probabilistic Models and Variationals AutoEncoders

Denoising Diffusion Probabilistic ModelsVariational AutoEncodersComputer Vision

Qualcomm

Modem Systems Engineering Intern

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

Interim Engineering Intern at Qualcomm, worked on New Radio (NR) channel estimation algorithms and channel modelling in software.

New Radio channel estimationChannel modellingModem Systems Engineering

Indian institute of technology, bombay

Teaching Assistant

Feb 2023 – Apr 2023 · 2 mos · On-site

For the Course MA106 : Linear Algebra
Tasked with conducting weekly problem solving sessions, to aid the theory classes taken by the professor.

Medical imaging, deep learning and artificial intelligence lab (medal)

Undergraduate Researcher

Jan 2023 – Jun 2025 · 2 yrs 5 mos · IIT Bombay · Hybrid

1) Worked on developing fast and light architectures for denoising, to be used in diffusion models for better generative capabilities.
2) Performed extensive analysis of Diffusion Models and VAEs in an effort to understand similarities/differences between them.
3) Worked on development of parameter-efficient architectures for image tasks.
4) Assisted PhD students in research projects on Domain Adaptation.

Deep LearningArtificial IntelligenceData Analysis