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Available for opportunities

ShirishShirish Pokhrel

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Building scalable, pixel-perfect web experiences with React, Next.js, and TypeScript. Passionate about performance and user experience.

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01. About Me

Crafting Digital Experiences That Matter

I am a results-driven Software Engineer and Data Scientist with over 4 years of experience specializing in high-performance frontend architecture and medical image classification.

Expert in Next.js, NestJS, and Python, with a recently completed Master's in Data Science focused on Deep Learning for Breast Cancer Detection.

I have a proven track record in architecting Turborepo monorepos and real-time synchronization platforms while bridging the gap between scalable software engineering and data-driven insights using Convolutional Neural Networks (CNNs) and multivariate statistical analysis.

I am dedicated to maintaining high code quality through Agile leadership, automated testing with Vitest, and enforced Git conventions to deliver robust, user-centric solutions.

Location

Lalitpur, Nepal

Experience

0+ Years

Education

M.S. Data Science

Islington College

Projects

0+ Built

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02. Skills

Technologies & Expertise

// Frontend

React 18/19Next.jsTypeScriptTailwind CSSChakra & Radix UITanStack QueryTanStack TableZustand / Redux Toolkit

// Backend & Data

NestJSNode.jsPostgreSQLPythonTensorFlow / KerasR (Tidyverse, ggplot2)Image Pre-processing

// Tools & Arch

TurborepopnpmVitestDockerZodMapBoxDeep Learning (CNNs)Computer Vision

// Workflow & Soft

Agile / ScrumCI/CD (Husky)Conventional CommitsTeam LeadershipProblem-solving
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03. Experience

Where I've Worked

Software Engineer

TechTone

Sep 2023 – Present

Lalitpur, Nepal

  • ▹Developed and maintained PicoVico, a cinema management platform comprising 4 interconnected applications (Admin Panels, Customer Web, POS) using Next.js, React 18/19, and NestJS.
  • ▹Architected a Turborepo monorepo with shared UI libraries and centralized ESLint/TS configurations, significantly reducing code duplication across three production applications.
  • ▹Improved SEO and initial load performance by building Server-Side Rendered (SSR) pages and standalone deployable apps optimized with Turbopack.
  • ▹Engineered complex interactive UIs, including a cinema seat-layout renderer and dynamic nested accordion forms using React Hook Form, Zod, and Radix UI.
  • ▹Implemented real-time data synchronization between POS and display apps using the BroadcastChannel API and Server-Sent Events (SSE) for live order updates.
  • ▹Optimized server-state and data density using TanStack Query for caching and TanStack Table for performant, filterable modules across concession and configuration engines.
  • ▹Built a robust role-based authentication system featuring JWT-based route guards, OTP verification, and Zustand for global state management.
  • ▹Ensured architectural stability by writing comprehensive unit tests with Vitest and React Testing Library, achieving high coverage for business-critical modules.
  • ▹Collaborated in an Agile environment using Conventional Commits, GitHub PR reviews, and Husky hooks to maintain high code quality standards.
Next.jsReactTypeScriptNestJSTurborepoChakra UIReact QueryZustandVitestRadix UISSE

Front-end Engineer

Venture4 Tech

Dec 2022 – Sep 2023

Lalitpur, Nepal

  • ▹Led a team of 3 developers in an agile environment.
  • ▹Optimized application for speed and performance improvements.
  • ▹Participated in client meetings to discuss requirements and optimization strategies.
  • ▹Developed and enhanced features for existing systems.
  • ▹Worked on governmental projects including LISA, FRA, PFRA, LED, GESI, and LGPORTAL.
ReactNext.jsReduxJavaScriptTailwind

Front-end Engineer

Everest Technologies

Dec 2021 – Nov 2022

Pokhara, Nepal

  • ▹Worked as a React.js developer gaining real-world experience.
  • ▹Developed projects including: Thrift Store Nepal (E-commerce), Namaste Palpa (Digital menu), and Hamro Vet (Veterinary e-commerce).
  • ▹Tested and debugged new features for quality assurance.
ReactJavaScriptCSS3Bootstrap

Graduate Researcher

Islington College (Master's Thesis)

Jan 2024 – Feb 2025

Kathmandu, Nepal

  • ▹Developed an advanced deep learning model for Breast Cancer Detection and classification using Convolutional Neural Networks (CNNs) and Transfer Learning.
  • ▹Processed and augmented large-scale medical imaging datasets (e.g., MIAS or BreakHis) using OpenCV and Python to improve model generalization and reduce overfitting.
  • ▹Implemented and compared state-of-the-art architectures such as ResNet50, VGG16, or InceptionV3, achieving high sensitivity and specificity in tumor malignancy prediction.
  • ▹Optimized model performance using techniques like dropout, batch normalization, and learning rate scheduling, evaluating results via ROC-AUC curves and Confusion Matrices.
  • ▹Utilized TensorFlow/Keras or PyTorch for model training and NumPy/Pandas for structured data management and statistical validation.
PythonTensorFlow/KerasOpenCVCNNsTransfer LearningResNet50PandasNumPy
04. Research & Projects

Things I've Built

<ZeroToMil/>

Preview

Featured Project

Turn your sports passion into millionaire wins with top odds, live betting, big bonuses, and fast payouts – from zero to millionaire!

Next.jsShadcn UITypeScriptWebSocket

<LED />

Preview

Featured Project

Local Economic Development system to assess and promote economic growth, entrepreneurship, and infrastructure at local levels.

Next.jsTypeScriptMapBox

<ThriftStoreNepal />

Preview

Featured Project

A full-featured e-commerce platform for sustainable fashion. Built with React and modern web technologies for seamless shopping experience.

ReactReduxNode.jsMongoDB

<BreastCancerDetection />

Preview

Featured Project

Master's Thesis: An advanced deep learning model for Breast Cancer Detection using Convolutional Neural Networks (CNNs) and Transfer Learning.

PythonTensorFlow/KerasCNNsTransfer Learning

Other Noteworthy Projects

<LISA />

Local Institutional Self-Assessment platform for local governments to evaluate their capacity in governance, administration, and service delivery

Next.jsTypeScriptMapBox

<FRA />

Fiduciary Risk Assessment tool for local governments to identify and mitigate financial management risks.

Next.jsTypeScriptMapBox

<PRFA />

Provincial Fiduciary Risk Assessment, a similar tool applied at the provincial government level.

Next.jsTypeScriptMapBox

<NamastePalpa />

Digital menu application for restaurants with QR code integration, real-time updates, and beautiful UI.

ReactFirebaseTailwind CSS

<HamroVet />

Veterinary e-commerce application connecting pet owners with veterinary services and pet supplies.

React NativeExpressPostgreSQL

<MovieDataAnalysis />

Statistical Data Visualization project analyzing a comprehensive Movie Dataset using R, Tidyverse, and ggplot2 to identify drivers of box-office success.

RTidyverseggplot2Data Analysis
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05. Contact

Let's Work Together

I'm currently open to new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!

Email

shpokh455@gmail.com

Phone

+977-9824133994

Location

Lalitpur, Nepal

Built withby Shirish Pokhrel