Jan 2024 – Jul 2025 · 1 yr 6 mos · Remote

• Built a cross-platform mobile app to streamline rent and utility bill management for landlords and tenants.
• Key features include:
• 📱 User-friendly interface developed in React Native for real-time rent tracking and utility submissions.
• 🔐 Role-based access control to ensure secure operations between tenants and property owners.
• ⚙️ Automated bill calculations based on electricity meter readings with per-unit cost configuration.
• 📊 Analytics dashboard to track payments, due amounts, and usage trends.
• 🛠️ Flask + SQLite backend for lightweight, efficient data storage and API-driven interaction.
• Designed to simplify monthly rent workflows, reduce manual tracking, and improve transparency between landlords and tenants.

Jun 2023 – Oct 2023 · 4 mos · Bengaluru, Karnataka, India · On-site

• As a founding engineer at Capitalflo, I played a pivotal role in shaping the startup’s core technology stack and infrastructure from the ground up.
• Key contributions:
• 🏗️ Designed and implemented the entire data architecture, including robust ETL pipelines and data management systems.
• 💻 Developed a cross-platform mobile app using React Native to deliver a seamless and intuitive user experience.
• 🔌 Built and integrated RESTful APIs using JavaScript for efficient and scalable data handling.
• 🛢️ Leveraged MongoDB for secure, scalable backend storage solutions.
• 🚀 Set up CI/CD pipelines and implemented secure authentication workflows to streamline deployments and enforce access control.
• 📈 Enhanced system performance and stability to support increasing user traffic and ensure high availability.
• This role allowed me to wear multiple hats — from backend systems design to frontend development and DevOps — while working in a fast-paced, zero-to-one startup environment.

Dec 2021 – Jun 2023 · 1 yr 6 mos

• At Hypersonix, I was part of the Data Platform team where I engineered scalable and efficient data solutions to power AI-driven analytics for enterprise clients in the e-commerce and retail space.
• Key responsibilities and achievements:
• ⚙️ Designed and built automated ETL pipelines to ingest, clean, and transform high-volume client data from diverse sources.
• 🔄 Developed and orchestrated Apache Airflow DAGs, improving operational efficiency by over 3.5 hours per day for core data workflows.
• 🔐 Implemented secure, scalable APIs with OAuth for data acquisition across multiple cloud warehouses.
• 🧱 Led schema normalization and mapping for data warehouses, ensuring data quality and consistency.
• 🐳 Created a Docker-based deployment workflow that enhanced scalability, portability, and developer productivity by 1.5x.
• 📡 Monitored pipeline health on Linux servers, collaborating with QA teams to proactively resolve performance and scalability issues.
• This role deepened my expertise in cloud-native data engineering and helped me contribute meaningfully to a production-scale AI analytics platform.

Aug 2021 – Nov 2021 · 3 mos

• During my internship at Hypersonix, I worked on the Data Platform team to support enterprise data ingestion and transformation at scale.
• Key contributions:
• ⚙️ Developed automated data ingestion pipelines to handle structured and semi-structured enterprise data.
• 🔄 Built modular, reusable Apache Airflow DAGs to enable client-specific workflows with improved scalability and maintainability.
• 📈 Enhanced analytics capabilities by designing template-based ingestion frameworks, reducing time-to-deploy for new client data sources.
• This internship gave me hands-on experience with real-world data engineering problems and laid the foundation for my full-time role at the company.

Oct 2018 – Aug 2021 · 2 yrs 10 mos · On-site

• Col C K Nayudu Trophy (Mens)