Aditi G.

Associate Consultant

Jhansi, Uttar Pradesh, India5 yrs 7 mos experience

Highly StableAI Enabled

Key Highlights

Expert in optimizing AI models for efficiency.
Strong background in federated learning and generative models.
Passionate about bridging research with real-world applications.

Stackforce AI infers this person is a skilled AI researcher with a focus on machine learning and optimization.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine Learning

Other Skills

Android TestingAutoCADBERT modelsC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationComputer VisionCreative WritingData ScienceDeep LearningDjangoDjango REST FrameworkEngineeringEnglish

About

Hi, I’m Aditi! I’m an MS Research student at IIIT Hyderabad under the guidance of Prof. Pawan Kumar. My research focuses on algorithm optimizations, and I’m currently working on diffusion models, federated learning, and Multi-Agent reinforcement learning (RL). I am also interested in exploring how vision and language interact to create efficient, real-world AI systems. I pursued my bachelor’s degree in Electrical Engineering and Computer Science at IISER Bhopal, where I developed a passion for solving complex problems by combining computational techniques with engineering principles. Outside of research, I enjoy competitive programming and collaborating on innovative projects. I’m actively seeking opportunities in software development (SDE) and data science to apply my skills to impactful work. 📩 Let’s connect: aditig0501@gmail.com

Experience

5 yrs 7 mos

Total Experience

3 yrs 9 mos

Average Tenure

1 yr 10 mos

Current Experience

International institute of information technology hyderabad (iiith)

3 roles

Teaching Assistant

Jan 2025 – Present · 1 yr 5 mos · Hyderabad, Telangana, India

Teaching Assistant for the CS7.403: Statistical Methods in Artificial Intelligence (SMAI) course under Prof. Vineet Gandhi.

Graduate Student Researcher

Jan 2025 – Present · 1 yr 5 mos · Hyderabad, Telangana, India

I’m working on optimizing large language models (LLMs), techniques like 4-bit quantization, sparse pruning, and knowledge distillation to make AI faster and more efficient. I’m also exploring ways to bridge cutting-edge research with real-world applications—whether that means running massive models smoothly on edge devices, cutting cloud inference costs, or tackling challenges like outlier weights in quantized LLMs. I’m trying tools like TensorRT, GPTQ, and QLoRA and always open to discussions on AI efficiency, hardware-software co-design, or sustainable ML.

Research Internship

Aug 2024 – Mar 2025 · 7 mos · Hyderabad, Telangana, India

Worked on Federated Learning and Denoising Diffusion Models, focusing on addressing statistical heterogeneity in client datasets and improving generative model performance in decentralized settings.

Amazon

Amazon ML Summer School

Jul 2024 – Jul 2024 · 0 mo

I got selected for the Amazon ML Summer School 2024, where I had the chance to interact with Amazon’s scientists and dive into topics like Supervised Learning, Deep Neural Networks, and Dimensionality Reduction. After that, I received an interview offer for the Applied Scientist Internship role and successfully cleared the first round.

Iiser bhopal

3 roles

BS Project Thesis

Jan 2024 – Apr 2024 · 3 mos

For my BS ProjectThesis at IISER Bhopal, I explored integrating Generative AI to automate and improve the interpretation of crowdRE requirements. Using machine learning and BERT models, I achieved 80% classification accuracy and developed new methods like Reprompting and Reinforcement generative prompting, boosting the F-1 score by 8-10%.

Research Project

May 2023 – Jul 2023 · 2 mos

I contributed to the "Enhancing Federated Learning on Non-IID Data" project by developing the innovative FEDAVG method for parameter aggregation and strategies to mitigate catastrophic forgetting using pseudo and perturbed data. I also explored knowledge distillation and adversarial data generation, enhancing the convergence and accuracy of federated learning on non-IID datasets.

E-Cell

Nov 2022 – Mar 2023 · 4 mos

I organized hackathons and "Shark Tank"-like pitching events in the E-Cell, offering technical support to participating teams.

Ihub-data, iiit hyderabad

Summer Research Intern

May 2022 – Jul 2022 · 2 mos · Hyderabad, Telangana, India

Worked under Professor Sachin Chaudhari on the development of smart water meter technology. Currently working on improving digit detection accuracy by training neural networks and simultaneously looking to decrease the computational complexity of the model to fit it on a Pi Zero.

Iiser bhopal

4 roles

Maths Club

Sep 2021 – May 2022 · 8 mos

I was part of the Math Club, where I conducted and managed engaging math puzzle competitions, including the Bazinga, Integration Bee.

Enthuzia 2022 PR and Outreach team

Sep 2021 – Nov 2021 · 2 mos

I was part of the Public Relations and Sponsorship team for Enthuzia, North India's biggest cultural fest at IISER Bhopal. I helped find sponsors, build connections, and promote the event to schools, colleges, and organizations.

Teamwork

Students Development Council

Jun 2021 – May 2022 · 11 mos

I coordinated internships and placements for the Electrical Engineering and Computer Sciences department, contributed to the 2021 student placements brochure, and assisted high school students preparing for IISER entrance exams as a Quora contributor.