Open to Internships

Naishadh Vytla

B.Tech student focused on building intelligent systems with Vision Transformers, Generative AI, and deep learning — turning research into real-world impact.

✉ vytlanaishadh2@gmail.com 📞 +91-7995115998
View Projects Get in Touch
Naishadh Vytla
About

A bit about me

I'm a B.Tech student in Electronics & Communication Engineering at KL University, Guntur, with a deep focus on applied AI and machine learning.

Currently building BrainTumorViT — a Vision Transformer-based brain tumor classification system with GradCAM explainability, benchmarked against published IEEE methods.

I've built privacy-first GenAI tools, RAG-based QA systems, and competed as a finalist at the VISA 24Hrs AI Hackathon at IIT Madras.

Education
B.Tech ECE, KL University
CGPA
8.0
Focus Areas
Computer Vision, GenAI, NLP
Status
Seeking AI/ML Internships
Skills

Technical toolkit

Core competencies across the ML/AI stack.

🧠 ML & Deep Learning
PyTorchTensorFlowScikit-learnHuggingFacetimmOpenCVVision TransformersGradCAM
💬 GenAI & NLP
LangChainFAISSLLaMA 3OllamaRAGPrompt EngineeringStreamlit
🛠 Languages & Tools
PythonSQLJavaGitJupyterGoogle ColabPandasNumPyMatplotlib
Projects

Featured work

From research-grade deep learning to production GenAI applications.

Current Research Project
Research · Computer Vision · IEEE Standard
BrainTumorViT
ViT-B/16-based deep learning system for 4-class brain tumor MRI classification (glioma, meningioma, pituitary, no tumor) on a 7,023-image dataset. Features a three-phase training strategy with discriminative learning rates, Stochastic Weight Averaging, and advanced data augmentation (Mixup, CutMix).
PyTorchViT-B/16GradCAMtimmSWAMixupCutMix
Ongoing Research
Key Highlights
• GradCAMViT explainability module for visual attention heatmaps
• Custom MLP classification head (768→512→256→4)
• IEEE-standard comparative analysis against 5+ published methods
• Three-phase training with discriminative learning rates
• Addressing black-box limitations cited in prior literature
Hackathon · Full Stack AI
VISA 24Hrs AI Hackathon
Built and deployed a live AI-powered web app during the 24-hour hackathon at IIT Madras. Advanced to finals among teams from across the country.
AIWeb AppDeployed
Live Demo ↗Finalist
GenAI · NLP
AI Resume Screening Tool
Privacy-first automated resume screener using LLaMA 3 with on-device semantic matching. Zero external data transfer ensures complete privacy.
LLaMA 3OllamaStreamlitNLP
GitHub ↗
GenAI · RAG
Document QA System
RAG-based QA using LLaMA 3, LangChain, and FAISS. Upload PDFs/DOCX and query via natural language with sub-second retrieval.
LangChainFAISSLLaMA 3RAG
GitHub ↗
Experience

Experience & Education

AUG 2025 — PRESENT
Co-Lead, Adventure Club
KL SAC, KL University
Directing outdoor expeditions for 50+ members — logistics, safety protocols, team coordination, and vendor management.
MAY 2025 — JUL 2025
Data Science Intern
Smart Swift Innovations
  • Built classification and regression models on real-time datasets using Python, Scikit-learn, and Pandas — 92% accuracy.
  • EDA across 5+ datasets improving performance by ~15%; automated pipelines cutting preprocessing time by 40%.
JUL 2023 — PRESENT
B.Tech in Electronics & Communication Engineering
KL University, Guntur · CGPA: 8.0
AI/ML-focused coursework, research projects, and hackathon participation.
Credentials

Certifications & Achievements

OCI AI Foundations Associate
Oracle Cloud Infrastructure
✓ Verified
Summer Analytics 2025
IIT Guwahati — Merit Certificate
✓ Verified
Altium Global Scholarship
PCB Design
✓ Verified
VISA 24Hrs AI Hackathon
IIT Madras, 2026
Finalist
Contact

Let's connect

I'm actively seeking AI/ML internship opportunities. If you're working on something interesting in machine learning, computer vision, or generative AI — I'd love to hear from you.

LinkedIn GitHub

📞 +91-7995115998