Building autonomous agents, RAG pipelines, and multi-agent architectures that reason and act.
Backend systems, microservices, scalable APIs, and thoughtful system architecture.
Breaking down complex challenges into precise, maintainable, elegant solutions.
"I believe great software isn’t just functional — it should reason, adapt, and solve real problems."

Scholar No. 2302214
My engineering journey at Medicaps University gave me the foundation to explore software engineering, artificial intelligence and full-stack development — eventually turning academic learning into real-world projects and professional experience.
Focused on practical exposure to Artificial Intelligence and Machine Learning concepts through structured training and hands-on learning provided directly at the university.
Completed my high school education from Aadarsh Convent Higher Secondary School, building the foundation for my academic journey.
Completed higher secondary education from St. Antony's Convent Sr. Sec. School with Physics, Chemistry & Mathematics (PCM), developing a strong foundation in mathematics and science.
Started my undergraduate journey at Medi-Caps University, Indore, pursuing Computer Science & Engineering and beginning my transition into software development, AI, and technology.
Now in my fourth year of B.Tech, focused on building real-world systems across Artificial Intelligence, Software Engineering, and Full-Stack Development, while gaining practical industry experience.
Swipe or scroll to explore my open-source projects.

Autonomous Laptop Agent
10-module autonomous AI agent performing OS-level automation via multi-agent workflows with LLM fallback.

B2B SaaS Platform
Multi-tenant SaaS platform with drag-and-drop website builder, analytics dashboard, full auth, and payments.

AI Gesture Recognition
Real-time LSTM-based gesture recognition with 99% accuracy. 100% custom dataset built via MediaPipe.

Spring Boot Microservices
Cloud-native microservices platform with Eureka, API Gateway, RabbitMQ, Keycloak OAuth2, and Gemini AI.

MERN Stack
Full-featured social platform with real-time messaging, JWT authentication, post feed, and profile management.

LSTM NLP Pipeline
LSTM-based text prediction pipeline trained on a custom corpus with character-level tokenization.
Beyond building — what I study, explore, and care about in AI.
Autonomous agentic AI — 10-module OS automation via LangGraph multi-agent flows.
Retrieval-Augmented Generation for context-aware LLM responses.
Evaluating frontier model reasoning at Handshake AI — GPT-5.5 Pro and beyond.
Advanced agent coordination patterns — supervisor, hierarchical, and swarm topologies.
How and why large models succeed or fail on complex multi-step reasoning tasks.
Multi-model deployments, knowledge bases, and AI agents on AWS Bedrock.
Ensuring autonomous AI systems behave predictably under adversarial and edge conditions.
Systematic methodologies for eliciting reliable, structured outputs from LLMs.
Emerging patterns in agent memory, tool use, and long-horizon planning.
Built THE ALOA with full 7-chapter thesis and 19 architecture diagrams
Deployed PYVRA to production within 1.5 months — solo full-stack build
Thinkathon 2026 Participant — MII Foundation & Techno Club, Medicaps University
ISL Real-Time Detector — 99% accuracy, 100% custom dataset via MediaPipe
FlyRank AI
Click to view ↗Anthropic × LinkedIn Learning
Click to view ↗Oracle × LinkedIn Learning
Click to view ↗Tata iQ × Forage
Click to view ↗Google for Developers × EduSkills
Click to view ↗Udemy
Click to view ↗Board Infinity
Click to view ↗Portfolio v2 — exploring new agentic AI side-projects
Researching advanced multi-agent memory architectures
AI Trainer · Handshake AI (evaluating frontier LLMs)
Advanced multi-agent orchestration patterns
AWS Bedrock multi-model architectures
Open to full-time roles, internships, collaborations, and interesting conversations about AI.
thepeeyushyadav0@gmail.com