Siddhartha Satyakama is a Senior Backend Engineer with expertise in Python, Flask, and cloud technologies like Google Cloud Platform. With experience at Powerhouse AI (YC W22) and Yellow, he has architected scalable solutions, optimized AI algorithms for warehouse automation, and developed mobile and web applications using modern technologies such as Flutter, React.js, and Next.js. Siddhartha is skilled in deploying cloud infrastructure, integrating APIs, and enhancing application performance, with a focus on backend systems, cloud services, and AI-powered solutions.
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– Designed and developed a comprehensive parking management application for apartment complexes, leveraging
cutting-edge technologies to deliver a seamless and intuitive user experience.
– Built a robust web application using React.js and developed powerful backend APIs using FastAPI, enabling
seamless data processing and retrieval.
– Developed a sophisticated QR code generator service that enables users to easily authenticate their parking space,
improving efficiency, and reducing congestion.
– Technology used: React.js, Material CSS, FastAPI, PostgreSQL
– Collaborated closely with the Dialpad team to establish an integration framework using Sanic, facilitating seamless
communication between Bullhorn CRM and Dialpad services.
– Designed and developed the backend architecture, including API design, resulting in a 30% reduction in data
processing time for Bullhorn CRM.
– Implemented web sockets for real-time data streaming between the server and the Dialpad call center web client,
achieving a 25% reduction in call record latency.
– Ensured system reliability by writing comprehensive unit tests using the unittest library, resulting in a 20% decrease in
post-release defects.
– Technology used: Sanic, Python, Redis, PostgreSQL, Web Sockets, FTP, REST APIs
– Designed and developed a mobile application using Flutter and native Android-Beacon-Library and CoreLocation IOS,
enabling it to listen to nearby BLE devices and connect to them if their proximity UUID is registered in the database.
– Implemented a robust database system to store the proximity UUIDs and associated information of each location,
ensuring seamless and accurate retrieval of information.
– Leveraged cutting-edge technologies to deliver a high-performance, user-friendly application that enables users to
access relevant information about nearby locations with ease.
– Contributed to the development of a groundbreaking product that has the potential to transform the way people
interact with their surroundings, improving their overall experience and engagement.
– Technology used: Flutter, Firebase
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