Hello, I'm
KrishnamNamithaa
Full Stack Developer& AI/ML Engineer
VIT-AP University · Amaravati, AP
I build intelligent systems — from Vision Transformers on medical images to production web apps. Passionate about clean code, elegant UI, and AI that makes a difference.
Krishnam Namithaa
Full Stack Dev · AI/ML Engineer
Building at the edge
of AI & Web
I am Krishnam Namithaa, an Integrated M.Tech Computer Science student at VIT-AP University with a passion for Artificial Intelligence, Generative AI, Full-Stack Development, and UI/UX Design. I enjoy building intelligent, user-centric applications that combine innovative AI capabilities with intuitive user experiences.
My experience includes developing AI-powered assistants, RAG-based chatbots, intelligent automation workflows using n8n, and deep learning solutions for real-world problems. I have worked on both frontend and backend technologies while focusing on creating scalable, efficient, and visually appealing applications.
I am certified in Oracle AI, Oracle Generative AI, AWS Cloud, and Agentic AI technologies, and have co-authored an IEEE publication on credit card fraud detection. I am passionate about leveraging AI, software engineering, and design thinking to create impactful digital solutions — actively seeking opportunities in AI/ML, Generative AI, Full-Stack Development, and UI/UX Design.
My Toolbox
Languages
Web Development
AI / Deep Learning
Data & Analytics
Cloud & DevOps
Blockchain & Automation
Where I've Worked
- Developed full-stack web applications using the MERN Stack (MongoDB, Express, React, Node.js).
- Built responsive UI components and integrated mock APIs for real-time data display.
- Worked with React Context API, Python scripting, and SQL database management.
- Developed role-based management system modules with access control.
Things I've Built
Kidney Disease Severity Classification
- Soft ensemble of ConvNeXt-Base + ViT-B/16 on histopathology images; AUC-ROC 0.90.
- Slide-aware GroupShuffleSplit, Focal Loss, 8-fold TTA, MixUp augmentation.
- Resolved data leakage; migrated to HuggingFace TFViTModel.
Credit Card Fraud Detection
- ML and Data Analytical approach for accuracy and comparative analysis.
- Published at IEEE — comparative study on real fraud datasets.
Toxic Comment Classification
- Multi-label detection via fine-tuned DistilBERT on Jigsaw dataset.
- F1 + ROC-AUC evaluation with early stopping and LR scheduling.
Image Captioning — ViT & Transformer
- ViT encoder + custom Transformer decoder on Flickr30k.
- spaCy preprocessing; high-quality captions via beam search.
DCQN Agent for Pac-Man
- Deep Convolutional Q-Network with target networks & experience replay.
- 25% higher rewards than baseline DQN across game levels.
Llama2 Medical ChatBot
- Llama2 + LangChain with RAG pipelines for medical document querying.
- Sentence transformers for embedding and real-time interaction.
Pneumonia Detection — 94.1%
- ResNet50 outperforms Custom CNN (89.7%) and VGG16 (92.3%).
- Sensitivity 95.2%, Specificity 93.4% via augmentation.
Food Ordering Web App
- Spring Boot + JWT auth, role-based access, Spring Data JPA.
- Responsive React frontend with optimized performance.
Social Media Automation using n8n
- Automated workflow using n8n to streamline social media management across platforms.
- Automatically posts content on LinkedIn and Twitter via scheduled triggers and API integrations.
- Fully visual no-code pipeline reducing manual publishing effort significantly.
Credentials & Badges
GEN AI
AI
101
ML
AI
Recognition
DSA CodeVerse
Biweekly Contest — March 2025. Demonstrated strong algorithmic problem-solving skills.
CCBP Fellow
Selected as CCBP Fellow at NxtWave for Full Stack Development (2022–2026)
Hedera Certified
Hedera Certified Foundation (HCF) — The Hashgraph Association · May 2026
Academic Background
Let's Build Something
Remarkable
Open to internships, full-time roles, and research collaborations in AI/ML and Full Stack.