Swapnil Sagar Email & Phone Number

Austin, Tx, Us

Milpitas, California, United States

• Developed a Gen‑AI chat‑bot Proof of Concept using the RAG framework, incorporating llama_index and FastAPI. It specializes in interpreting medical compliance queries, cutting time spent reading such docs by over 70%.• Presented the PoC to stakeholders and secured approval to transition the PoC into a production‑grade service.• Worked with SMEs to design both High and Low Level Design docs, splitting the application into several reusable micro‑services.• Utilized several libraries and frameworks like Redis for caching sessions, Kafka to handle multiple real time data streaming, CORS validation for domain‑level security, etc.• Integrated circuit breakers to prevent cascading failures, limiters to avert DDoS attacks, Docker for deployment.

Rochester, New York, United States

• Spearheaded the development of the co‑evolving network model using C++. The model simulates real‑life interactions among people and records the spread of an opinion in the population.• Leveraged Python libraries including Pandas and NumPy to process the vast amount of data generated by the model. Used Seaborn to create informative visualizations including graphs, charts, and heatmaps to provide insights into the dynamics and behavior of the simulated population.• Utilized scripts to automate data collection and simulations, thus aiding in running several thousand simulations with varying parameters.

Hyderabad, Telangana, India

• Overhauled the old Laboratory Information Management System (LIMS) framework tailored to thespecific needs of pharmaceutical research laboratories, improving data management and workflow efficiency by 25%.• Utilized various libraries, for data encryption along with network authorization to implement access control via OAuth 2.0.• Designed and implemented the database schema for a high‑performance Distributed Database System using Oceanbase and mySQL. Data synchronization was obtained with the help of Apache Kafka and data storage was done on Ceph. Thus imporivng system performance by 15%.• Implemented parallel computing via multi-threading techniques to accelerate manipulation and analysis of large‑scale pharmaceutical data. Thus improving computing performance by 15%.

Gurgaon, India

• Designed, developed and maintained enterprise‑grade food ordering system for client, facilitating over a million orders everyday.• Integrated third-party APIs including order tracking via Google Maps and Stripe for payment processing, and social media integrations, enhancing user engagement and interaction. Increasing user engagement by 15%• Implemented async and event‑driven architectures using technologies such as Apache Kafka and RabbitMQ to handle high‑volume transaction processing and ensure scalability and fault tolerance of the payment gateway via message queues. Reducing payment failure rate by 40%.• Utilized AWS cloud services for deployment, scalability, and reliability, including Amazon Elastic Container Service (ECS) for container orchestration, Amazon Relational Database Service (RDS) for managed database solutions.• Employed Netflix Zuul for API gateway functionality, enabling centralized routing, filtering, and authentication across microservices, improving security and manageability.• Containerized the application using Docker. Used Kubernetes for automated scaling and container management along with AWS Lambda for serverless computing, thus cutting system maintenance costs by about 18% by making a pay-as-needed system architecture.

Noida Area, India

• Built an Android application to track visitors in apartment complexes in native Java on Android Studio, capable of tracking 10 million visitors.• Integrated Google Cloud Platform (GCP) services extensively for robust data management, including Firebase Realtime Database for synchronized and real‑time data updates along with Firestore for scalable and efficient noSQL database solutions.• Implemented caching mechanisms for offline usage using Room Persistence Library and SQLite, enabling efficient data access and offline functionality for users, reducing latency by 30%.• Optimized app performance by analyzing and addressing memory leaks, ANR (Application Not Responding) issues, and UI rendering bottlenecks using tools like Android Profiler and Systrace.• Implemented unit tests using frameworks such as JUnit and Mockito to verify the behavior of individual components and ensure code reliability and maintainability.• Managed version control using Bitbucket and SVN, including branching, merging, and repository management, to facilitate collaborative development and version tracking within the team.

Master Of Science - Ms, Computer Science And Mathematics, 3.7

B. Tech, Computer And Communications Engineering

12Th Board (Cbse), Pcm

10Th Board (Icse)