— AI/ML Engineer

PRITI
PAUDEL.

I build intelligent systems that feel seamless, reliable, scalable, and thoughtfully engineered from idea to deployment.

SEE THE WORK
AVAILABLE FOR WORK

01ABOUT

I’m an AI Engineer based in Nepal, building intelligent systems that turn ideas and data into real-world solutions. I enjoy working beyond the model — understanding data, designing effective solutions, building APIs and pipelines, and bringing AI into production.

Outside of work, I explore machine learning, computer vision, NLP, and generative AI through projects and experiments. There’s always something new to understand, improve, or turn into a working system.

Right now, I’m focused on building AI that is not only intelligent, but reliable, practical, and built to be used.

Becoming better than yesterday.

ROLEData Science Enthusiast
LOCATIONKathmandu, Nepal
EDUCATIONBSC.CSIT

02SKILLS

What I reach for, and what I'm still learning.

Languages
PythonSQLJavaScriptTypeScriptCC++
Libraries
PyTorchTensorFlowScikit-LearnOpenCVMediaPipeHugging FaceLangChainTransformers
Data & DB
PandasNumPyPostgreSQLMySQLMongoDBVector DatabasesRAG
Frameworks
DjangoDjango REST FrameworkFastAPIFlaskStreamlit
Gen AI
LLMsGenerative AIPrompt EngineeringEmbeddingsVector SearchLangChainLangGraph
Tools
GitGitHubDockerLinuxAWSJupyterVS Code
DATA PIPELINES • MACHINE LEARNING • BACKEND SYSTEMS • DATA PIPELINES • MACHINE LEARNING • BACKEND SYSTEMS • DATA PIPELINES • MACHINE LEARNING • BACKEND SYSTEMS • DATA PIPELINES • MACHINE LEARNING • BACKEND SYSTEMS •

03PERSONAL WORK

Things I've designed and built end to end.

++++
PoseFit

PoseFit

AI-powered adaptive exercise coaching system for real-time pose analysis and personalized guidance. Implemented joint angle estimation with EMA stabilization, cosine similarity-based recommendations, and a dynamic engine adjusting to user demographics and posture patterns.

PythonReactDjangoMediaPipePostgreSQL
0012026
++++
3D PBR Map Generation

3D PBR Map Generation

AI-driven pipeline generating PBR texture maps (depth, normal, roughness, ambient occlusion) from a 2D image. Implemented a hybrid Vision Transformer architecture using DINOv2 encoder and custom feature-fusion modules with RAFT for high-resolution single-step inference.

PythonPyTorchDINOv2Vision Transformer
0022026
++++
Fingerprint Minutiae Matching

Fingerprint Minutiae Matching

Classical fingerprint recognition system implementing Gabor filtering, skeletonization, and minutiae extraction with FAR/FRR/EER evaluation.

PythonOpenCVFastAPIImage Processing
0032026
++++
GRE Vocabulary System

GRE Vocabulary System

Document processing pipeline that extracts vocabulary from scanned GRE books using MinerU OCR, enriches definitions via APIs, and serves structured learning content.

PythonOCRStreamlitPostgreSQL
0042026
++++
SheSync

SheSync

AI-powered chatbot using MedGemma for context-aware symptom support and personalized health guidance. Built a RAG pipeline to generate adaptive, personalized diet recommendations based on user health inputs and behavioral context.

PythonMedGemmaRAGAI
0052025
++++
Eco-Guard

Eco-Guard

AI-powered environmental monitoring system designed to detect and alert against ecological threats like illegal deforestation and poaching using real-time data analysis.

PythonTensorFlowFlask
0062024

04EXPERIENCE

Where I've worked and what I've accomplished.

Wiseyak

AI Research Intern
Jan 2026 - April 2026
  • Contributed to the backend development of a pathology workflow system using Django for cervical cancer screening and laboratory operations.
  • Designed and implemented APIs and backend functionalities for microscopy image handling, processing, and system integration.
  • Integrated a cellular-level microscope camera pipeline for real-time image capture within the web platform.
  • Built a custom annotation and labeling system to support microscopy data analysis and workflow efficiency.

Fusemachines

AI fellow
April 2025 - December 2025
  • One of the selected fellow to be awarded with six-months fellowship in the 2025 cohort.
  • Developed an AI-based 3D PBR texture map generation pipeline from 2D images for realistic rendering applications.
  • Worked with computer vision and deep learning architectures, including DINOv2, RAFT, and DepthNormalDPT, for feature extraction and surface-property estimation.

Women Leaders in Technology

Fellow
October 2024 - April 2025
  • One of 15 selected female students to be awarded the six-months fellowship in the 2024 cohort.
  • Two-week workshop on Node Js, MongoDB, and soft skills, followed by a hackathon project.

06CONTACT

LET'SWORKTOGETHER.

Open to AI/ML roles.

preetipaudel456@gmail.com
THINK. BUILD. ITERATE.© 2026 PRITI PAUDEL JAISI