Built RESTful APIs using Python (FastAPI) to extract insured and location data from ACORD files. Processing 500M+ records monthly, integrating external APIs for location and insured data enrichment.
Developed a Java Spring-based API using Quarkus to calculate risk factors from latitude, longitude, and building details, enabling accurate premium generation.
Implemented business rules for submission acceptance, including CUW/IM checks, expiration validations, and underwriting criteria.
Optimized performance using multithreading, reducing execution time by 40%. Created modular data validation and transformation components, improving data quality by 50%.
Orchestrated event-driven workflows across services using Kafka. Automated premium writing by integrating validated submissions with Duck Creek.
Enhanced observability with centralized logging using OpenSearch and Logstash. Managed and optimized relational data with PostgreSQL, focusing on performance and consistency.
Software Engineer Intern
CHUBB
Hyderabad
12.2023 - 06.2025
Built a monitoring solution for organizational resources using Azure Data Factory to extract metrics like storage usage.
Used Logstash for data ingestion, Elasticsearch for indexing, and Kibana for visualization.
Delivered real-time dashboards to support proactive resource management and capacity planning.
Education
B.Tech - Computer Science And Engineering
Vellore Institute of Technology
Vellore 8.56 CGPA
05-2024
Skills
Languages & Frameworks : Python, Java , C , SQL , JavaScript, HTML , CSS , React , FastAPI
Database: MySQL, Firebase, JDBC, MongoDB, XAMPP
Concepts: Data Engineering, ETL, Data Lakes, Machine Learning, NLP, CI/CD, Backend Development, Microservices (Basic) ,JSON Web Tokens (JWT)
Projects
Job search portal| (HTML/CSS, JavaScript, Bootstrap, Java Spring Boot)
Developed a multi-role job portal with separate logins for companies, applicants, and admins, and enabled companies to post job openings and applicants to search and apply based on profile match
Implemented secure user authentication using JWT and OAuth 2.0, increasing sign-up conversions by 25%
Built an admin panel to manage user complaints and streamline operations, reducing manual effort by 50% and improving efficiency by 30%
YogAI (Python, Firebase, NLP, deep learning, indexing, sharding, rate limiting)
Fine-tuned PoseNet to detect and correct users' yoga poses in real time
Integrated an NLP chatbot to recommend personalized yoga poses based on user input
Implemented sharding for dynamic request distribution, reducing load latency by 20%
Optimized data access using indexing strategies, enhancing system responsiveness
Accomplishments
3-star coder in CodeChef with a maximum rating of 1607
Reached pupil level in Codeforces, with a highest rating of 1,221
Earned knight status on LeetCode with a peak rating of 1,834
Received the Employee of the Year Award at CHUBB in 2024