Hello I'm
Jairam Ravichandran
AI/ML engineer
Turning data into intelligent solutions through machine learning, software development, and continuous learning.
Agentic Multimodal Stress Analysis
Developed a multimodal stress analysis system that combines EEG and speech signals using machine learning and DSP techniques. Extracted EEG bandpower features via Welch PSD alongside MFCC, Chroma, ZCR, and RMS acoustic features. Implemented multimodal fusion, agentic recommendations, and a real-time Streamlit interface for stress monitoring and analysis.
Cognitive-Aware Legal Document Simplification
Adaptive pipeline integrating cognitive load estimation with LLM-based rewriting. K-Means clustering handles dynamic complexity segmentation with Mistral via Ollama, evaluated using ROUGE and BERTScore.
Mini Advanced Driver Assistance System (ADAS)
Mini ADAS prototype built on STM32 NUCLEO-L152RE with ultrasonic, accelerometer, and LDR sensors. Implemented obstacle detection, adaptive braking, and automatic headlight control using PWM, ADC, and I2C with interrupt-driven sensor fusion logic in STM32CubeIDE.
Experience
Gen AI Intern
● CURRENTNuSummit
↗Present
- Developed a multimodal RAG chatbot using hybrid retrieval, OCR, and vector databases for enterprise document intelligence.
- Integrated LLMs and voice-agent capabilities to deliver accurate, context-aware conversational experiences.
About me
Hi, I'm Jairam — an aspiring AI/ML Engineer and ECE undergraduate at VIT Chennai. I enjoy transforming ideas into intelligent applications through machine learning, NLP, and software engineering. From research-driven projects to real-world solutions, I'm constantly learning, building, and pushing my technical skills to create meaningful impact through technology.