Hi, I am Suved Ganduri
I turn complex research problems into reliable, intuitive scientific software.

About
I’m a Research Software Engineer at Skanata Lab with a Master’s in Computer Science from Syracuse University. I build intelligent scientific software that transforms complex experimental data into reliable, intuitive tools for researchers. My work spans biological imaging, behavioral tracking, computational neuroscience, data pipelines, and human-in-the-loop applications.
I’m especially passionate about AI and its potential to accelerate scientific discovery. I enjoy exploring how machine learning, computer vision, and AI-assisted engineering can uncover patterns in complex data, automate demanding workflows, and help researchers answer questions that traditional approaches cannot easily address. My goal is to build AI-powered systems that are not only capable, but also trustworthy, practical, and easy to use.
Projects
View all projectsMovie Recommendation GraphRAG
A movie recommendation GraphRAG that understands complex queries and provides insightful responses based on movie, actor, director relationships, and plot similarities.
- Neo4j
- LangChain
- LLMs
- RAG
- OpenAI
- Gemini
Mini-Evolve: Code Evolution System
Inspired by DeepMind’s AlphaEvolve research, Mini-Evolve pairs LLM-driven mutations with genetic search to automatically discover much faster yet provably correct code.
- Python
- LLM
- Evolutionary Algorithms
- Optimization
Slide Summarizer
A web app that converts PowerPoint presentations into semantically rich text documents using AI vision models, ideal for LLM workflows and RAG pipelines.
- AI Vision
- LLM
- FastAPI
- React
- OpenAI
- Gemini
Writings
Read more8/12/2026
The Window Before AGI- Artificial Intelligence
- AGI
- AI Safety
- AI Governance
6/20/2025
Software 3.0 and the Decade of AI Agents: Lessons from Andrej Karpathy- software 3.0
- AI agents
- karpathy
- LLMs
- machine learning
6/8/2025
Apple’s “Illusion of Thinking” and What It Really Tells Us About Large Reasoning Models- Artificial Intelligence
- Machine Learning
- LRMs
2/20/2025
Efficient Graph Partitioning for Large-Scale Applications- graph algorithms
- distributed systems
- parallel computing
1/28/2025
Effortless Data Analysis: Sampling in High-Speed Turnstile Streams- data streams
- sampling
- analytics
Let's build something amazing together
Whether it’s an innovative project, a bold idea, or a unique challenge, I’m excited to collaborate and make it a reality!
