I build intelligent systems with a strong foundation in IT — focusing on scalable, reliable, and production-ready AI solutions.
I am an AI/ML student passionate about solving real-world problems using data, machine learning, and intelligent systems. I focus on building systems that go beyond models — integrating deployment, monitoring, and infrastructure.
- 🎓 B.Tech in Information Technology (2028 Expected)
- ⚙️ Background in Electronics & Embedded Systems
- 🤖 Focus: Machine Learning, Deep Learning, LLMs, RAG
- 🚀 Interest: AI systems, infrastructure, and real-world deployment
- Drift detection using PSI
- SHAP-based explainability
- Adversarial threat classification
- Governance layer with audit trails
Stack: Python • FastAPI • React/TypeScript • SHAP • Scikit-learn • Gemini API 🔗 https://github.com/Harshit-it25/Decision-DNA
- RAG-powered system with ~90% intent accuracy
- Context-aware medical reasoning using LLMs
Stack: Python • LLMs • RAG • NLP 🔗 https://github.com/Harshit-it25/VitaAI
- Automated complaint classification
- Geographic hotspot detection
Stack: Python • NLP • Machine Learning
- Automated irrigation + remote monitoring
- Published research: Modern Farming
Stack: Arduino • ESP8266 • Firebase • IoT
- Computational epidemic modeling
- AI-based prediction using LSTM
- Experimental autonomous AI agent system
- Self-directed task execution & adaptive reasoning
- Combines LLMs with agent architectures
Stack: Python • LLMs • Autonomous Agents • AI Systems 🔗 https://github.com/Harshit-it25/Research-Ai-Autonomous-agent
AI & ML
LLMs & RAG
Backend & Deployment
Hardware & IoT
- 📄 Modern Farming — IoT-based smart irrigation system
- 📄 Decision DNA — AI Governance Framework (Under Review)
- 📄 Fractional-Order SIR Model using LSTM (Under Review)
| Qualification | Institution | Score | Year |
|---|---|---|---|
| B.Tech (IT) | MIT Vishwaprayag University | Pursuing | 2028 |
| Diploma (ENTC) | MSBTE | 75% | Completed |
| SSC | Maharashtra State Board | 77.40% | 2022 |
- Data Analytics Essentials
- Claude Code in Action (Anthropic)
- Introduction to Data Science
- IT Essentials
- Machine Learning in Production
- Apply AI: Analyze Customer Reviews
- Introduction to Modern AI
- IBM • NVIDIA • AWS • DeepLearning.AI
- 📧 harshitranbhare@gmail.com
- 🔗 https://linkedin.com/in/harshitranbhare-911b43306
- 💻 https://github.com/Harshit-it25
- 📱 9529452147
- 🤖 Build production-grade AI systems
- ⚙️ Work on scalable AI infrastructure & governance
“AI is not just about models — it’s about systems that work reliably in the real world.”
⭐ Always building. Always learning.