Hi, I'm
Aryan Inamdar
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About Me
I’m someone who values ambition, creativity, and personal growth. I enjoy exploring new places, staying active, and spending time with people who push me to think differently and be my best. Whether I’m learning something new or working toward a goal, I try to bring intention, positivity, and thoughtfulness into everything I do.
Professional Journey
Software Engineering Intern
Summer 2026
Key Achievements:
- •—
AI Engineering Intern
Created a deep-research AI agent that autonomously scraped sources for customers’ financial metrics and news, resulting in an sharp decrease in manual time-expenditure. Developed and trained pre and post-breach ML models on curated credit data to generate customer-specific credit recommendations. Led code reviews with senior engineers to design and deploy a production-ready UI and backend.
Key Achievements:
- •Cut costs of current credit management processes by 86%
- •Model-based decision making achieved 95% agreement with manual outcomes
- •Stored 200k+ vectors in databases to promote seamless data access
Machine Learning Researcher
Researched vision-language models for open-vocabulary object detection and segmentation, focusing on how models identify and localize objects beyond fixed training categories. Built evaluation pipelines to compare model performance across different image datasets, study where predictions failed, and test ways to make the model more accurate. Collaborated with researchers to run experiments, interpret results, and iterate on model architectures for more robust visual understanding.
Key Achievements:
- •Improved open-vocabulary segmentation by 11% through embedding-refinement experiments
- •Evaluated models across 15K+ images and 500+ object categories to measure accuracy and robustness
- •Reduced experiment analysis time by 40% by building reusable evaluation scripts for model outputs
Software Engineering Intern
Built functions to optimize LLM training performance and benchmark model variants to identify optimal configurations. Developed a RESTful API-based microservice that evaluated the toxicity of multiple models via automated performance checks and fed results into a RAG pipeline. Designed an interface to visualize real-time results; communicated updates with cross-functional teams and integrated updates into CI/CD pipelines.
Key Achievements:
- •Reduced GPU memory usage and training time by 24%
- •Assessed 10+ models for toxicity, bias, safety, and performance
- •Enabled real-time visualization of 15K+ model evaluation outputs
Software Engineering Intern
Programmed and deployed department-wide software that asseses the adoption and monetary viability of numerous internal enterprise applications. Created NLP algorithms to analyze user feedback from project management software. Learned relevant software fundamentals in SaaS architecture to use LeanIX for IT landscape maintenance. Collaborated in an Agile environment to track applications and debug/troubleshoot/test code.
Key Achievements:
- •Assessed the business value of 50+ critical applications
- •Increased software accurancy by 17% by extracting actionable insights from feedback
- •Increased stakeholder visibility by monitoring 3500+ app lifecycle records in LeanIX
Featured Projects
Pillbox
An iOS/watchOS app that automates medication tracking by scheduling dosages, making and tracking orders, pushing notifications, etc.
Technical Skills
Python
Java
JavaScript
C/C++/C#
Swift
R
HTML/CSS
TypeScript
SQL
Scheme
MIPS Assembly
Go
Get In Touch
Ready to start your next project? Let's discuss how we can work together to bring your ideas to life.
Let's Connect
I'm always interested in hearing about new opportunities and exciting projects. Whether you have a question or just want to say hi, feel free to reach out!
Available for new projects
Currently accepting freelance work