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. My journey with technology started young—I was always the kid taking apart gadgets just to see how they worked. In 2011, I got hooked on web development, building custom web pages and experimenting with code. That curiosity eventually turned into a full-blown career, leading me to work on enterprise applications, financial services platforms, AI-driven systems, and even game development.
I’ve been fortunate to work at companies like Capital One, Deloitte, and Capgemini, where I built scalable microservices, optimized cloud deployments, and engineered machine learning solutions. At Capital One, I helped enhance their Rewards Redemption System, handling 500K+ daily API requests while ensuring high availability and security. At Deloitte, I worked on a credit risk ML model, reducing false positives and streamlining real-time financial predictions. Before that, I even got my hands dirty in game development, working on interactive gaming projects that gave me a whole new appreciation for real-time rendering, performance optimization, and user engagement.
These days, I’m diving deep into Generative AI and cloud computing, applying my skills to real-world impact. One of my most exciting projects is a survey platform for academic research, where I’m working under Professor Kelly Wellman, designing a system to recruit over 2 million users for research data collection. It’s a challenge that blends scalability, AI, and user experience—exactly the kind of problem I love solving.
Beyond work, I’m passionate about fitness, nutrition, and travel. Whether it’s exploring new cities, experimenting in the kitchen, or getting lost in a Dan Brown novel, I find inspiration everywhere. For me, tech isn’t just about building software—it’s about pushing boundaries, solving meaningful problems, and creating tools that make a difference.
Full Stack Developer @ Capital One
(May 2023 – Present)
React.js, Redux, Node.js, AWS (API Gateway, DynamoDB, EKS, ELK Stack, Terraform), OAuth 2.0, JWT, Redis, Jenkins, GitHub Actions, Docker
- Enhanced Capital One Rewards Redemption system using React/Redux, driving a 20% boost in user engagement and revenue growth.
- Designed and implemented OAuth 2.0 and JWT-based authentication for APIs, minimizing unauthorized access incidents by 20% and ensuring secure user data handling.
- Utilized AWS API Gateway to manage up to 500K API requests per day, maintaining high availability and performance for Credit Score Analysis and Rewards Redemption systems.
- Optimized DynamoDB performance with indexing and Redis caching, enabling sub-100ms query responses and enhancing real-time analytics.
- Automated CI/CD pipelines with Jenkins, GitHub Actions, and Docker, eliminating manual deployment errors and increasing release frequency.
- Reduced infrastructure provisioning time by 70% via Terraform automation, standardizing cloud environments.
- Standardized Kubernetes (EKS) infrastructure with Helm, cutting manual operations by 60% and upgraded system observability with the ELK Stack.
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Patient Triage Generator AI
constproject={name:'Patient Triage Generator AI',tools: ['FastAPI', 'Groq (LLaMA 3.2-90B Vision Preview)', 'ChromaDB', 'RAG Architecture', 'Embeddings: Sentence Transformers (all-MiniLM-L6-v2)', 'Console Interface: Rich (for formatted output)', 'Python Virtual Environment (.venv)],myRole:Artificial Intelligence, Machine Learning, Backend Developer, Deployment,Description: AI-powered patient prioritization using RAG architecture with Groq and ChromaDB. Assigns triage levels based on severity with real-time processing.,};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.,};
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