Hello, I am
Varsha Seshashayee Hindupur.
I craft code that meets data to shape tomorrow.
I build agile, data-centric architectures that fuse the rigor of engineering with the fluidity of data science, unlocking new pathways for innovation and operational efficiency.
I hold Master of Science in Information Systems degree from Northeastern University.
I have 5.5 years of work experience as Software Engineer.
constcoder={name:'VARSHA HINDUPUR',skills:['React', 'JQuery', 'Redis', 'Express', 'NextJS', 'MySql', 'MongoDB', 'Docker', 'AWS', 'Kubernetes'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};Who I am?
Hey, I’m Varsha. I’ve been around computers and messing with tech since the early days of personal computers, always tinkering and trying new things. In 2011, I decided to dive into creating custom web pages and really got into coding and web development. Since then, I've had the chance to work on all kinds of projects, building software for MNCs like Infosys, Accenture, and UST's Xpanxion, and even got my hands dirty in a gaming company.
These days, I’m focused on building accessible web apps using Generative AI and AWS cloud. I’m also working under Professor Kelly Wellman, helping with her PhD dissertation by creating a survey platform. This project is all about using Qualtrics to recruit over 2 million users for research data—a pretty big challenge that I’ve been excited to take on. Building these intricate systems has been a huge part of my growth in tech.
I love working in that sweet spot where design and engineering come together, using data to create tools that genuinely help people. When I’m not coding, you’ll probably find me exploring new cities, experimenting in the kitchen, or diving into a good book—I'm a big fan of Dan Brown and Sidney Sheldon. I'm also really into fitness and nutrition and enjoy helping others find their path to a healthy lifestyle.
For me, tech is all about pushing boundaries, getting creative, and making it feel like it actually means something.
Full Stack Engineer @ [RESEARCH] Northeastern University
(Feb 2024 – Present)
MongoDB, Express.js, React.js 17, Node.js, FastAPI, Redux, AWS (CloudFront, S3, Beanstalk, CloudWatch), LLM, RAG pipleine
- Built a secure, scalable survey platform for academic research for 2M+ user interactions and achieving $10K+ savings over traditional solutions.
- Utilized React, Node.js, MongoDB, Docker to build robust data application from scratch, turning user interactions into valuable research insights.
- Secured user data with JWT authentication in REST APIs, ensuring privacy compliance and safeguarding sensitive information.
- Deployed MERN-based survey platform on Elastic Beanstalk with JWT authentication for 2M+ users, handling 500+ peak concurrent sessions.
- Implemented lazy loading, static assets caching and optimized HTTP requests to improve web-page performance by 23%
- Incorporated AWS infrastructure with Terraform, CloudWatch monitoring, and CloudFront delivery, allowing smooth application deployment.
- Enhanced the system with addition of LLM (Lama 2.0) and RAG pipeline chatbot for answering queries of the participants of the survey.
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Anomaly Detection System AI-Integrated
constproject={name:'Anomaly Detection System AI-Integrated',tools: ['TensorFlow', 'Python', 'AI Models],myRole:Machine Learning, Backend Developer, Deployment,Description: Built an AI-driven firewall using TensorFlow for real-time anomaly detection, enhancing security in AI interactions. The system is designed to detect and prevent suspicious activities in real-time by monitoring interactions and transactions. It was integrated into a production environment, providing a significant improvement in detecting anomalies.,};
AirCast - Predicting Air Quality Using ML
constproject={name:'AirCast - Predicting Air Quality Using ML',tools: ['AWS S3', 'PostgreSQL', 'LSTM', 'Python', 'Machine Learning],myRole:Data Scientist, Machine Learning Pipeline, Data Engineering Pipeline, Backend Developer, Frontend Developer, Data Visualization,Description: Developed an app to predict air quality using machine learning algorithms. The system leveraged streaming data stored in AWS S3, which was preprocessed in PostgreSQL. LSTM models were used to forecast air quality, achieving an RMSE of 0.8. The project was designed to assist in predicting hazardous air conditions for different geographical regions.,};
Data Exploration Tool - Satellite Data Integration
constproject={name:'Data Exploration Tool - Satellite Data Integration',tools: ['AWS', 'GOES Satellite Data', 'NEXRAD Data', 'Python', 'Data Visualization],myRole:Data Engineering, Backend Developer, Data Scientist,Description: Built a tool for exploring and visualizing satellite data (GOES, NEXRAD) using AWS infrastructure. Integrated metadata retrieval and developed interactive meteorological analysis features. The tool was designed to handle large-scale datasets, offering efficient querying and visualization capabilities.,};
FoodKing Interactive: LLM Gemma (Gen AI Project)
constproject={name:'FoodKing Interactive: LLM Gemma (Gen AI Project)',tools: ['Streamlit', 'Ollama Gemma:2B', 'Docker', 'Python],myRole:Generative AI Engineering,Description: Developed an AI-powered chatbot for FoodKing restaurant using Ollama Gemma:2B and Streamlit. The chatbot assists customers in placing orders and answering queries about the menu. The project integrates a dynamic menu system, allowing customers to select sizes and quantities for menu items, and provides real-time interaction. Docker was used for containerization to ensure local deployment of all services.,};
ChatWith - A Chat Application
constproject={name:'ChatWith - A Chat Application',tools: ['Flutter', 'Spring Boot', 'WebSockets', 'Redis', 'Maven],myRole:Full Stack Mobile App Developer,Description: Developed an end-to-end SaaS chatbot mobile app called 'ChatWith' using Flutter for the front-end and Spring Boot for the back-end. Integrated WebSockets and Redis for real-time messaging, ensuring seamless communication between users. The app supports asynchronous message exchanges and incorporates Maven for build automation.,};
Real-Time Social Media Platform
constproject={name:'Real-Time Social Media Platform',tools: ['Python', 'Flask', 'Django', 'RabbitMQ', 'Docker],myRole:Microservices Engineering, Backend Developer,Description: Developed a real-time social media platform with a microservices architecture using Python (Flask, Django) and RabbitMQ for event-driven communication. Integrated Docker for containerization, allowing for seamless deployment and scalability of services. The platform enables instant user interactions and admin post tracking.,};
2022 - 2024
Masters Degree
Northeastern University
Activities:
- 'Career Developer' at Northeastern University’s Employer Engagement and Career Design: Guided hundreds of aspiring developers with career advice, project experience, and skill development to enhance their professional growth
- 'Graduate Research Assistant': Held one of the most sought-after on-campus roles, demonstrating leadership and responsibility. Successfully completed two major projects from scratch, showcasing initiative and commitment to research excellence.
Courses:
- INFO5100: Application Engineering and Development
- INFO6105: Data Science Engineering Methods and Tools
- INFO 7390: Advances in Data Sciences and Architecture
- INFO7245: Big Data Systems and Intelligent Analytics
- INFO 7375: Generative Artificial Intelligence (AI & Finance)
- CSYE7105: High Parallel Computing in Machine Learning & AI
- INFO6205: Program Structure and Algorithms
- INFO7375: AI/ML Prompt EngineeringCoursework
2012 - 2016
Bachelor Degree
University of Mumbai
Activities:
- Students' Council (2015 - 2016): Vice President
- Students' Council (2014 - 2014): Joint Cultural Secretary
- Cultural Event Coordinator (2012-2013): Organized and participated in hackathons, and technical project competition events during annual cultural festivals. Achieved first place in the Project Competition for my capstone project.
- Member of The Institution of Engineering and Technology (IET).
- Publications (IEEE): Data Transfer through Human Body. https://ieeexplore.ieee.org/document/7562747
Courses:
- Data Structure and Algorithms
- Object Oriented Programming
- Database Management Systems
- Advanced Database Management Systems
- Web Programming
- Data Mining and Business Intelligence