Hi, I’m
Naman Tiwari.

I want to become an AI-focused backend engineer. Right now I’m learning backend development, and I’m looking for an internship where I can build real things with a team.

3rd-year B.Tech student
Data Science and AI
Open to internships

Contact me → View resume

Projects

Clinical Co-Pilot

Multimodal RAG assistant for patient records

Answers a clinician’s question about one patient and cites its sources. A five-step LangGraph pipeline mixes keyword and vector search, reranks the results, keeps each patient’s records separate, and checks every number in an answer against the sources. RAGAS on 40 generated questions: context precision 0.98, recall 0.87, faithfulness 0.81.

Python
LangChain
LangGraph
Pinecone
Cohere
Gradio

See more ↗ Live demo ↗

Voice Shield

Real-time voice-clone detection for banking calls

A FastAPI and WebSocket service that scores live audio with a fine-tuned AASIST model and decides whether to approve, ask for an OTP or freeze a simulated account. Fine-tuning cut the equal error rate from 46.0% to 13.5% on held-out speakers. A research prototype, not a production fraud system.

Python
PyTorch
FastAPI
WebSockets
Docker

See more ↗ Live demo ↗

Fraud Detection

Credit card fraud detection on imbalanced data

Finds fraud in 284,807 transactions where only 0.17% are fraudulent. Four models were compared with and without SMOTE and tracked in MLflow. The deployed random forest reaches AUPRC 0.876 and ROC-AUC 0.970 behind a FastAPI service and a Streamlit dashboard.

Python
FastAPI
scikit-learn
XGBoost
MLflow
Streamlit

See more ↗ Live demo ↗

Crop Disease Detector

Leaf disease classification with explainable AI

Classifies 15 tomato, potato and pepper leaf conditions from a photo. Two-phase transfer learning raised ResNet18 test accuracy from 90.8% to 99.1%, and Grad-CAM heatmaps show what the model looked at. The images are lab-style, so accuracy on field photos will be lower.

Python
PyTorch
ResNet18
EfficientNet
MLflow
Gradio

See more ↗ Live demo ↗

About me

main.py

from fastapi import FastAPI
 
app = FastAPI()
 
@app.get("/me")
def about():
    return {
        "name": "Naman Tiwari",
        "role": "AI-focused backend engineer",
        "learning": ["FastAPI", "PostgreSQL", "Docker"],
        "open_to": "internships",
    }

I’m a third-year B.Tech student in Data Science and Artificial Intelligence in New Delhi. I enjoy making AI systems work end to end, and I want to become the engineer who builds the backend that makes them reliable.

My READMEs say what each project does well and where it falls short.

More about me →

Skills

AI and LLM

Retrieval, agents and speech

LangChain
LangGraph
Pinecone
Hugging Face
Cohere reranking
Whisper
RAGAS evaluation
Hybrid search

Machine learning

Models and explainability

PyTorch
scikit-learn
XGBoost
LightGBM
Transfer learning
SHAP
Grad-CAM
NumPy
Pandas

Backend and APIs

Services that serve the models

FastAPI
REST APIs
WebSockets
Pydantic
Streamlit
Gradio
Protocol design

Deployment and MLOps

Shipping and tracking

Docker
Render
Hugging Face Spaces
MLflow
Weights & Biases

Languages and tools

What I build with

Python
C++
Jupyter
Git
GitHub
Linux

Learning now

Backend foundations, in progress

PostgreSQL
SQLAlchemy
Redis
pytest
GitHub Actions
Data structures and algorithms

Additional projects

iTantra

A small prototype that sends speech as compact text over Wi-Fi, Bluetooth or LoRa radio. Built for Smart India Hackathon 2026.

Kotlin
Python
C++

GitHub ↗ Download APK ↗

Neural network from scratch

A neural network written only with NumPy, reaching 97.4% accuracy on MNIST.

Python
NumPy

GitHub ↗

DistilBERT sentiment fine-tune

DistilBERT fine-tuned on IMDB reviews, reaching 93.6% F1, with runs tracked in Weights & Biases.

Python
Hugging Face
Weights & Biases

GitHub ↗

Education

B.Tech in Data Science and Artificial Intelligence

Dr. Akhilesh Das Gupta Institute of Professional Studies, New Delhi (affiliated to GGSIPU)

August 2024 to July 2028

9.23 / 10 CGPA

Participation

Smart India Hackathon 2026

Cleared the internal round with iTantra, built for ISRO’s problem statement on Indian multilingual speech-to-text and text-to-speech radio access (PS 26173).

Let’s build something together.

I’m looking for an internship where I can work on a real backend.

Hi, I’m Naman Tiwari.

Projects

Clinical Co-Pilot

Multimodal RAG assistant for patient records

Voice Shield

Real-time voice-clone detection for banking calls

Fraud Detection

Credit card fraud detection on imbalanced data

Crop Disease Detector

Leaf disease classification with explainable AI

About me

Skills

AI and LLM

Machine learning

Backend and APIs

Deployment and MLOps

Languages and tools

Learning now

Additional projects

iTantra

Neural network from scratch

DistilBERT sentiment fine-tune

Education

B.Tech in Data Science and Artificial Intelligence

Participation

Smart India Hackathon 2026

Let’s build something together.

Hi, I’m
Naman Tiwari.