Open to Opportunities

Kritish Yadav.

Software Developer & ML Researcher

Building intelligent software that transforms ideas into real-world solutions.

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3+Projects
1Publication
kritish.ts
const developer = { name: 'Kritish Yadav', focus: [ 'AI/ML & Research', 'Full Stack Development', 'Android Development' 'LLMs & Generative AI' ], }   $ 
๐ŸŽ“
KIIT UniversityCSE ยท 2023โ€“2027
๐Ÿ“„
Springer SCI-2026Published Researcher
Portrait of Kritish Yadav

Building the bridge between
logic & intelligence.

I'm Kritish Yadav, a final-year Computer Science undergraduate at KIIT University passionate about building intelligent, scalable, and user-centric software solutions. My interests lie at the intersection of Software Engineering, Artificial Intelligence, and Machine Learning.

Over the past few years, I've worked on AI-powered applications, full-stack software, computer vision systems, and research-driven projects, while also gaining hands-on industry experience through my internship at Nepal Telecommunication Company Ltd. These experiences have strengthened both my technical expertise and problem-solving approach.

Beyond development, I'm actively involved in research, continuous learning, and exploring modern technologies. This portfolio showcases my journey through projects, professional experience, research contributions, technical skills, and the work that reflects my growth as an aspiring software engineer.

Where I've worked.

Hands-on, real-world telecom experience alongside my software and ML work.

01 Telecom ยท Networking Apr 2026 – Jun 2026

Technical Intern — Nepal Telecommunication Company Ltd.

Two-month technical internship gaining hands-on experience in FTTH networking, router configuration, telecom operations, customer support, and database management on real-world telecom infrastructure.

  • Configured FTTH routers and networking equipment
  • Troubleshot internet connectivity and router configuration issues
  • Resolved customer complaints related to FTTH services
  • Managed customer data entry and telecom database records
  • Worked with telecom provisioning and operational record management
  • Collaborated with engineers to resolve networking issues
  • Improved communication, technical troubleshooting, and problem-solving skills
FTTHNetworkingRouter Configuration CRMDatabaseTelecomCustomer Support

Tools I wield.

โš™๏ธ

Programming Languages

Java Python SQL C JavaScript HTML/CSS
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Frameworks & Technologies

React.js Node.js TensorFlow Keras OpenCV Scikit-learn FastAPI
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Libraries

Pandas NumPy Matplotlib Seaborn
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Databases

MySQL MongoDB
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Developer Tools

Git GitHub VS Code IntelliJ IDEA Jupyter Notebook Google Colab Android Studio

Things I've built.

A collection of projects spanning Android development, AI-powered systems, and computer vision.

01 Android ยท Full Stack

Smart Hospital Management System

Centralized Android application integrating patient records, staff scheduling, and facial recognition for secure PHI access โ€” benefiting 50+ staff members.

  • Architected a centralized Android app integrating patient records and staff scheduling, enhancing data accessibility across departments
  • Enabled direct patient appointment booking, improving scheduling efficiency and reducing waiting times
  • Engineered a medication history monitoring module, reducing manual record-keeping errors
  • Implemented facial recognition to secure sensitive Protected Health Information (PHI)
JavaAndroid StudioMySQL OpenCVFacial RecognitionREST API
02 AI ยท Finance

FinRobot: AI-Assisted Investment Analysis System

Real-time investment analysis platform powered by AI that fetches live stock data from Yahoo Finance with dynamic visualization and predictive insights.

  • Upgraded system to fetch live stock data directly from Yahoo Finance, eliminating manual Excel datasets
  • Enabled real-time investment analysis with dynamic data visualization and predictive insights
  • Enhanced accuracy of investment recommendations using AI-driven analysis
  • Streamlined decision-making by integrating historical and live market data into a unified platform
PythonYahoo Finance APITensorFlow PandasMatplotlibReact.js
03 ML ยท Computer Vision

CSAF: Brain Tumor MRI Classifier

A novel lightweight deep learning architecture using cascading self-attention achieving 97.60% classification accuracy on brain tumor MRI datasets, accepted at Springer SCI-2026.

  • Designed a Cascading Self-Attention Funnel (CSAF) architecture for medical image classification
  • Achieved 97.60% classification accuracy, outperforming existing lightweight models
  • Paper accepted at Springer's 8th International Conference on Smart Computing and Informatics
  • Applied transfer learning and data augmentation techniques for robust performance on limited medical data
PythonTensorFlowKeras OpenCVNumPyMedical Imaging

Published Work.

๐Ÿ“–
Cascading Self-Attention Funnel (CSAF): A Lightweight Deep Architecture for Brain Tumor Classification from MRI
โœ… Springer โ€” SCI-2026
๐Ÿ“…Year: 2026
๐Ÿ›๏ธConference: 8th International Conference on Smart Computing and Informatics
๐Ÿง Domain: Deep Learning ยท Medical Imaging
Classification Accuracy
97.60%

Accepted research paper proposing a novel lightweight self-attention deep learning architecture achieving 97.60% classification accuracy on brain tumor MRI datasets.

Academic Background.

๐ŸŽ“
B.Tech in Computer Science
KIIT University
2023 โ€“ 2027
๐Ÿ“š
Higher Secondary (Class XII)
National Infotech
2022
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Secondary (Class X)
Maisthan Vidyapith MA VI
2020

Certifications & Courses.

๐Ÿงฉ
Algorithmic Toolbox
Coursera
๐Ÿ“… 2026
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Databases and SQL for Data Science with Python
Coursera
๐Ÿ“… 2026

Got a project or opportunity?

I'm currently open to internships, collaborations, research opportunities, and full-time roles. Whether you have a project in mind or just want to say hi โ€” my inbox is always open.

๐Ÿ’Œ Want to connect?

Reach out directly at yadavkritish99@gmail.com for the fastest response. I typically reply within 24 hours.

๐Ÿ’ก Or email directly at yadavkritish99@gmail.com