Let's Connect!
background

Hi, Shruti here.

I developIdeasIdeasConceptsConceptsDesignsDesignsCodeCodeIdeasIdeasConceptsConceptsDesignsDesignsCodeCode

into Visual Solutions

Currently based in Dehradun, Uttarakhand, India

Know me

arrow
Years of Learning
Projects Built
Internship
Research Projects

Get to know me

About me

I am a software developer, passionate about building impactful solutions at the intersection of Web Development and Artificial Intelligence/Machine Learning. I am also experienced in applying deep learning techniques, with a focus on sustainability and real-world applications.

Currently exploring ways to integrate AI with clean, user-centric web platforms.

Beyond the technical realm, I am a nemophilist who loves spending time in nature. I enjoy book reading, writing stuff, learning about new things, clicking landscape photos, and editing them for fun.

Shruti Semwal

Technologies I've been working with

Skill Set

Javascript

React.js

Next.js

Python

Tensorflow

💻 My work Overview

Experience

Displayed strong initiative and technical rigor in developing deep learning models for different problem statements during master's research.

Research Scholar

Research Scholar

🗓️ August 2024 - March 2025

Responsibilities

  • Engineered a deep learning pipeline using Python, TensorFlow, and OpenCV to develop a U-Net-based semantic segmentation model for urban building facades, achieving 98.1% accuracy.
  • Presented a conference paper (in the publication pipeline) at the 4th International Conference on Innovative Sustainable Computational Technologies-2024 (CISCT) co-sponsored by IEEE UP Section
  • Authored a thesis exploring deep learning applications, with a journal under review in Evergreen.
  • Published Patent application, demonstrating measurable air pollution levels reduction; from 500 ppm to 165 ppm, using Arduino, MQ135 sensor, and cloud-based monitoring for sustainable Urban Greening

Contributed meaningfully during my tenure at Cognizant, showing a keen interest in full-stack development and collaborative problem solving.

Programmer Analyst Trainee

Programmer Analyst Trainee

🗓️ January 2022 - July 2022

Responsibilities

  • Completed an intensive ADM DotNet FSE internship, mastering React with 100% practice completion and an overall score of 87%.
  • Developed and delivered a .NET Core MVC web application in a cross-functional 5-member team (60-member cohort), meeting all sprint goals in an Agile environment.
  • Created a project repository that received 9 stars on GitHub, demonstrating community recognition.
  • Achieved a performance evaluation score of 4.2/5 for consistent learning, teamwork, and project contribution.
Next Book Store

Create Books' themes, display them and browse other books through a clean minimalist App called Next Book Store

This project showcases the latest features of Next.js 15, including Next.js Form for seamless client-side form submissions, Server Component HMR Cache for faster development, and Partial Prerendering for performance optimization.

House Marketplace App

House Marketplace App- List, browse and filter properties for sale or for rent

Online Room Decor Store

Online Room Decor Store with Real-time Order Tracking

React and Reducer

Github Finder

React app to find users on github and navigate to their profiles using github API.

Python, Tensorflow and Keras

UNet with Attention-DL Model

Research work contributed to the integration of green building domain and deep learning domain for sustainable development using AI.

Python, Tensorflow and Keras

Keras API Project

Classification Model with an accuracy of 88% to predict whether or not a borrower would pay back their loan.

Have questions or ideas?

Get in Touch – Let’s Connect