Software Engineer · ML Specialist

Hi, I'm Pragyan Pahadi

Software Engineering Student

Specializing in Data Science, Machine Learning, and empirical data pipelines. Passionate about leveraging ML models and analytical tools to engineer scalable AI-driven solutions.

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Pragyan Pahadi
Background

Education & Background

Education

Nepal College of Information Technology (NCIT)

Bachelor of Engineering in Software Engineering (8th Semester)

Lalitpur, Nepal | 2022 - Ongoing | SGPA: 3.3/4

Caspian Valley HSS

High School (11th & 12th Standard)

Lalitpur, Nepal | Graduated

Budhanilkantha School (BNKS) & Bhagawati HSS

Primary and Lower Secondary Education

Kathmandu & Sindhuli, Nepal | Graduated

Certifications

  • DataCamp Certifications

    Introduction to Python, Intermediate Python, and Data Manipulation with pandas.

  • Kaggle Certifications

    Certified in Intro to Programming and Python.

  • Continuous Learning

    140+ days streak on Kaggle, 2+ months on DataCamp.

Toolkit

Technical Skills

Languages

Python, SQL, C/C++, TypeScript, JavaScript

ML & Data Science

PyTorch, Pandas, NumPy, Matplotlib, Grad-CAM, RAG Pipelines

Frameworks

Node.js, React, Next.js

Tools & Infra

Jupyter Notebook, Git/GitHub, Docker, Dialogflow (NLP)

Work

Featured Projects

A selection of my recent work in Data Science, Machine Learning, and Web Engineering.

Agentic Framework for Alzheimer’s Detection

Python PyTorch OpenCV Grad-CAM
  • Co-developed a multimodal clinical decision support system combining CNNs for visual feature extraction and a RAG pipeline.
  • Preprocessed raw OCT images and trained a baseline CNN to classify biomarkers.
  • Implemented Grad-CAM algorithms for diagnostic transparency.
View Application

Context-Aware AI Microservice

FastAPI PostgreSQL Qdrant Redis

A production-ready, asynchronous RAG backend built entirely from scratch without high-level wrappers. Features multi-turn chat memory, dual-database semantic search, and LLM-driven intent extraction for automated interview scheduling.

View API Documentation

Data Analytics & Physical Simulations

Pandas Jupyter Matplotlib
  • NYC SAT Analysis: Engineered borough-level metrics to highlight socio-educational trend anomalies.
  • Netflix Content Mining: Designed advanced boolean filtering queries to analyze catalog matrices and historical shifts.

NLP Integration & Server Pipelines

TypeScript Dialogflow Node.js
  • Integrated a custom Dialogflow NLP Agent for context-aware interactive user inquiries.
  • Engineered automated server-side data pipelines using node-cron for asynchronous updates.
Research

Experience & Research

Data Science Fellow

Nepalese Society of Student Researchers

Jan 2025 - Present
  • Selected for a competitive data fellowship program centered on applied Python-based Data Science, exploratory analysis, and statistical processing.
  • Built and benchmarked end-to-end analytical data pipelines involving deep data manipulation, data cleaning, and programmatic feature engineering.

Research: Multimodal Agentic Framework for Alzheimer’s

PyTorch, LangGraph, RAG

Ongoing
  • Co-authoring an ongoing research study on an interpretable clinical decision support system utilizing OCT images and patient metadata.
  • Built a LangGraph-driven RAG pipeline to fuse visual vectors with structured metadata, synthesizing context-aware diagnostic reports.