Hi, I'm Ram KasuruAI Engineer and Researcher.
I build intelligent systems that solve real-world problems, from enhancing accessibility with multimodal AI to optimizing performance with advanced machine learning.
Education & Research
M.S. in Applied Artificial Intelligence
Stevens Institute of Technology
2025–2026
B.Tech in AI & ML
Dayananda Sagar University
2020–2024
Who I Am
Driven by a constant need to learn and explore new frontiers in AI.
Deconstructing complex problems into manageable, solvable parts.
Believes that collaborative synergy leads to the most impactful innovations.
Thrives in fast-paced environments and quickly masters new technologies.
Technical Skills
Languages
AI/ML & Data Science
Data Tools & Viz
Dev & Leadership
Professional Experience
Prompt Engineer
Outlier AI
Jan 2024 – May 2024
- Improved LLM accuracy by 12% through advanced prompt engineering.
- Designed and implemented robust evaluation pipelines for model performance.
- Benchmarked over 5 leading LLMs to identify optimal solutions.
Intern
Ziberr (SuperFone)
Feb 2024 – Apr 2024
- Automated critical business integrations, boosting operational efficiency.
- Contributed to a 30% revenue boost via Shopify and a 40% engagement increase on Facebook.
- Managed and processed over 100,000 weekly transactions.
Intern
CodeTown EdTech Pvt Ltd
Sep 2023 – Nov 2023
- Focused on Discord-based sales analytics, increasing sales growth by 20%.
- Collaborated with the co-founder to analyze and grow the community.
- Boosted user engagement and activity on Discord by 30%.
Research & Projects
Scroll to explore my work. Each project is presented in a full-screen view.
VIOLA: Multimodal AI Assistant
An integrated AI assistant combining vision, speech, and language understanding.
DASH (Personal Project)
An evolution of the VIOLA multimodal AI, enhancing its core pipeline for superior performance.
ACURATE: AI-Powered Emergency Triage
A rapid triage prediction system using ML to reduce patient evaluation time.
Brain Stroke Prediction Using ML
A machine learning pipeline to predict brain strokes from MRI images with high accuracy.
Emergency Services App
A comprehensive mobile app for GPS-enabled ambulance dispatch and real-time coordination.
SLMs vs. LLMs: A Performance Benchmark
A comprehensive thesis benchmarking the performance of compact SLMs against full-scale LLMs.
From Many Small to One Large: Evaluating the Performance and Efficiency of SLMs vs LLMs
A comprehensive survey paper analyzing the trade-offs between Small and Large Language Models (SLMs vs LLMs). Benchmarked Phi-2, Gemma 2B, MiniCPM, and Llama 3.1 across reasoning, efficiency, and scalability metrics.
Get In Touch
Have a question or want to work together? Drop me a message.