• Developed fundminer responsive website from scratch using Next.js, Postgres, Prisma, TRPC.• Led the migration of Fundminer app from EC2 to AWS App Runner.• Achieved a 15 percent reduction in software bugs through meticulous codeoptimization and implementing improved quality control processes• Optimized FundMiner’s performance, successfully reducing latency timefrom 15 seconds to 5 seconds.• Scaled fundminer web application from 50 to 5k users.• Demonstrated leadership skills by directly engaging with clients• Successfully implemented Blackbaud API integration to improve datasynchronization, resulting in a 30% increase in operational efficiency.• Improved fundminers backend 4 seconds processing time by trpc querryoptimization

• Implemented Rest/HTTP APIs to export and import data from cloud which made the fast process within content networks.• Worked Worked on Java, Spring Boot, HTML, CSS, JavaScript, Spring Thyme leaf to render UI components within DMA.• Developed and maintained extensive test suite for all new features, whichreduced customer complaints over 10 percent.• Improved the existing product design, which resulted in 10 percent drop in bugs in subsequent sprints.• Written Complex SQL queries, views and modified Stored procedures toimprove the execution time over 40 percent.• Migrated entire DMA Project, other client projects on SonarQube for continuous inspection of code quality, automatic reviews with static analysis of code.• Hands on work experience on cloud technologies like AWS.

• Developed the student registration portal in the Angular/Vue JS, which wasused by over 40K students.• Built the REST APIs with express JS, AWS lambda following the serverless architecture. Developed unit tests using JUnit.• Solved over 60 bugs, there by causing 5 percent reduction in bugs, and increased head count.• Used the CI/CD pipelines to deploy the application to different environments like Dev, QA, and Prod.• Direct involvement with customers on business requirements, project status, sprint planning, UI mockups, technical concerns

SAFETY HAT DETECTION(DEEP LEARNING,PYTHON) |GITHUB Fall 2020 | Chicago, IL• Developed and Deployed a machine learning model which detected whether or not workers are wearing proper safety hat at construction site .• Made use of tensorflow custom object detection model to fine tune parameters for safety hat.Used AWS sage maker for training and AWS Deeplens for deploying the model.STOCKWATCH (ANDROID APP) | GITHUB Spring 2020 | Chicago, IL• App allowed users to see sorted list of stocks including stock symbol, company name, current price, daily price change and percent change. • Features : Adding, Deleting, Searching, Swipe Refreshing stocks overinternet.• Implemented Internet service, RecyclerView, Option-Menus, MultipleAsyncTasks, JSON Data, Swipe-Refresh, Dialogs, SQLite DatabaseGOVERNMENT(ANDROID APP) |GITHUB Spring 2020 | Chicago, IL• App acquires and displays interactive list of political officials that represent the current location (or a specified location) at each level of government.• Features:Photo of official,Official Address, Facebook, Twitter, Youtube links• ImplementedLocationServices,Internet,GoogleAPIs,Images,PicassoLibrary, Implicit Intents, TextView LinksSORTING, TREES AND PATHFINDER VISUALIZATION (REACT,JAVASCRIPT,P5) • Build React based application for visualizing path finding,sorting and maze finding algorithms.• Implemented quick, merge, bubble, A*, Djikstras algorithms. Used P5 js for visualizing fractal Trees.NEWS (ANDROID APP) |GITHUB Spring 2020 | Chicago, IL• App displays current news articles from a wide variety of news sources covering a range of news categories. Features like Top 10 stories, Clickable article title, text, or image content.• Implemented Service,Broadcasts Receivers,Drawer Layout,Fragments, ViewPager, Internet, APIs.

HEALTH HUB (JAVA,JSP,NODEJS,MYSQL,MONGODB) | FULL STACK DEVELOPMENTFall 2020 | Chicago, IL• Implemented features like login,search/order,recommendations,reviews, auto complete, payments and real time store locator based on zip code• Used MYSQL for creating, storing, maintaining, populating, and performing CRUD operations on products and payments.• UsedMongoDB for storing customer reviews, google heatmap for indicating store location with most sale on map.• Implemented features like product recommendations based on user history like time, locations, events etc.• Used neo4j/cypher to construct knowledge graph of people, location and events in order to detect communities and most influential people on graph.• Integrated Google Visualization API and Twitter API for fetching tweets using python for the recommendation.

Integrated Elastic Search, Kibana, Redis for indexing and came up with astrong and fast searching functionality.• Integrated Java with Spring Boot and achieved lightweight messaging anddiscrete payloads of data.• Came up with an impactful idea to implement the front-end search and sortto enhance the application performance.• Wrote SQL queries to retrieve data from the database using Hibernate andused DOM Parser to Parse the XML document.• Reduced page load time and resolved website performance issues by usingWeb packmodule-bundler.• Reduced the load on application using RabbitMQ, ActiveMQ for messagepooling and delivering them to consumers