Akshay Dagar

@2024 Akshay Dagar

About Me

I am a graduate of Computer Science from the Delhi Technological University , among the most prestigious Science and Technological institutions in India. I am a self-educated programmer, currently working as a Software Developer at Microsoft, skilled at frontend development and making dynamic, responsive and beautiful User Experiences. I have experience building Microservices and APIs at scale having worked with Azure and AWS cloud platforms. I have the experience of training Machine Learning models to build state of the art Artificial Intelligence features. I am adept at using Python for data analysis. I am also a Competitive Programmer and rank in the top 4% on Leetcode. I am a blogger and frequently publish on Medium and my website.

Game Developement

I am a game development enthusiast and have worked on developing fun and entertaining video games for various platforms using the Unity Engine.

Data Science and Machine Learning

I am highly experienced with using various Python libraries like scrapy, open-cv and MatplotLib for collecting, analyzing, and deriving meaningful observations from and training ML models on structured, unstructured or visual data.

Frontend Development

I am a frontend developer with a passion for building beautiful, dynamic and responsive user interfaces using ReactJs, Redux, Angular and CSS.

Backend Development

I am a backend developer with experience in building applications with the most cutting-edge technologies such as Node.js, C# and the .Net framework, MongoDB, SQL and Microsoft Azure.

@2024 Akshay Dagar

My Projects

React

UI/UX

Backend

AI/ML

Unity

Data Science

All

Akshay's Blog

This is my personal blog application made using React, Next.js, tailwind-css, graphql, and hygraph as the backend. I regularly post articles related to various topics here.

React JSON tree viewer

An open-source react component that displays JSON data in the form of a tree up to infinite levels. Dynamic and Highly customizable, it uses the concept of recursion and has more than 100 downloads on NPM.

Project Boost

A fun 3D game where your rocket must reach its destination through a maze of traps; built using Unity3d, C# and Blender.

React Accordion Panel

An open-source react component that renders a panel which can be used to expand/collapse its children. Highly customizable and dynamically stylable as per the user's needs. It has more than 100 downloads on NPM.

Magic Movie

An application made using React and Redux that lists the latest movies releasing along with detailed information about them.

Covid-19 vs Pneumonia and other diseases detection

An alternative way of detecting Covid19 using CNN based deep learning models which will differentiate between Covid19 and other similar respiratory diseases, using images of Chest X-Rays with 98% accuracy. Published in IEEE in 2021, it has been cited by 3 other papers.

@2024 Akshay Dagar

My Skills

DS/Algorithms

Node.js

Sass

Redux

GraphQl

C++

SQL

AI/ML

Azure

Git

Bootstrap

Angular

MongoDB

Fluent UI

Unity

Framer Motion

JavaScript

Python

CSS

Tailwind CSS

Material UI

TypeScript

KQL

React

.Net Framework

Blender3D

@2024 Akshay Dagar

My Work Experience

		Senior Software Engineer Trilogy At Trilogy, I contributed to the development and maintenance of FogBugz, a 25-year-old legacy project management tool with thousands of users, built with C# and ASP.Net and deployed on AWS. I ensured that FogBugz remained fully functional for its users, keeping it up-to-date with ongoing technological advancements. Additionally, I worked on the AlphaSchool project, where I developed Python automations for tracking and fetching student data from various course websites through APIs and web scraping using Selenium
		Software Developer Techfund.jp Techfund.jp is a Japanese tech startup that acts as a technology accelerator for startups. As part of the Web3/Blockchain Security Audit team, I conducted comprehensive code audits to identify security vulnerabilities that could result in financial losses, data breaches, and other risks, ensuring applications were secure before production. I also led the development of a SaaS application for automated audits using tools like Mythril and GPT-4. The frontend was built with Svelte, the backend with Python and Flask, and the application was deployed using Docker containers on AWS EC2.
Graudated 2021		Computer Engineering UG Student Delhi Technological University Undergraduate Computer Science Student at Delhi Technological University (formerly Delhi College of Engineering). I studied Computer Science fundamentals such as Data Structures, Algorithms Design and Analysis, Object Oriented Programming, Database Management Systems, Computer Architecture, Computer Networking, Distributed Systems, Network Security, Artificial Intelligence and Machine Learning and various other inter-disciplinary subjects. I graduated with a GPA of 8.54/10.
Summer 2020		Software Engineering Intern Microsoft I designed a monitoring pipeline for Azure’s Site Recovery Service, generating automated alerts when anomalies were detected in logs. I developed a diagnostic tool using C#, ASP.NET, and SQL to identify root causes of Azure VM errors, proactively mitigating issues before they impacted customers. I optimized query performance by 66% through parallel processing and concurrent data structures, and created an AI-driven NLP model that highlights errors in log files, simplifying the debugging process. My performance on this project secured me a full-time position at Microsoft.
Present		Software Engineer Microsoft I led the development of key features for the M365 Admin Center, supporting over 1M daily active users. I built a microservice with 50+ backend APIs, exposed via an SDK, to diagnose M365 application issues. Using C#, ASP.NET, and Azure services, I integrated with 8 downstream services, handling an average of 500K requests per day. On the frontend, I designed reusable React components for Microsoft's UI libraries and the M365 developer platform, leveraging React and Redux. I also developed an AI-driven insights and recommendations engine using NLP vector embeddings and LLMs like GPT-4, which auto-resolved 28% of customer issues and reduced resolution time by 70%. Additionally, I led the development of a GPT-powered copilot experience to automate support workflows, and I created a framework for A/B experiments with Azure logic apps, data pipelines, and PowerBI dashboards. My work contributed to a 1.5-point improvement in the application’s Net Promoter Score.