- 🎓 CS student at Dayananda Sagar College of Engineering
- 💼 Junior Developer Intern @ Xtrail — working on Computer Vision & SLM fine-tuning using LoRA and QLoRA :contentReference[oaicite:1]{index=1}
- 🔍 Passionate about Machine Learning, Computer Vision, and AI product engineering
- 🚀 Building real-world AI systems that scale and solve practical problems
- 📈 Always experimenting with models, optimization, and deployment pipelines
Languages:
Python · C · C++ · Java :contentReference[oaicite:2]{index=2}
Frameworks & Tools:
FastAPI · scikit-learn :contentReference[oaicite:3]{index=3}
Other:
Git · GitHub
- Detects plant diseases from uploaded images using ML models
- Generates personalized 7-day care plans & integrates a produce marketplace
- Built with Next.js, FastAPI, MongoDB, Tailwind, Uvicorn :contentReference[oaicite:4]{index=4}
- ML system predicting optimal electrolysis parameters to maximize hydrogen yield
- Used scikit-learn, Python, NumPy, Pandas, Matplotlib :contentReference[oaicite:5]{index=5}
- Predicts at-risk students using ML and recommends personalized learning paths :contentReference[oaicite:6]{index=6}
📧 adarsh.pallavali@gmail.com
🔗 Portfolio (coming soon?)
💼 **LinkedIn
⭐ "Always learning, always building."