May 2022 – Aug 2025 · 3 yrs 3 mos · Bengaluru, Karnataka, India · On-site

• Our flagship product, Aereo Cloud, was exciting to work on. The core challenge was transforming raw drone imagery—often terabytes in a single flight—into precise 3D terrain models using GIS photogrammetric pipelines. I led the design of a distributed, microservices-based architecture on AWS, leveraging services like S3, Batch, and ECS for concurrent processing. One of my proudest achievements was optimizing our data pipeline, which resulted in a 28% increase in processing throughput and allowed us to deliver critical GIS analytics to our enterprise clients faster than ever before.

Mar 2021 – May 2022 · 1 yr 2 mos · Bengaluru, Karnataka, India · Remote

• My time at Clootrack was a deep dive into the world of large-scale NLP. I was a core engineer on the sentiment analytics platform, which processed tens of millions of customer reviews daily. I designed and implemented automated data processing workflows using Celery and FastAPI, and I was responsible for maintaining complex Airflow DAGs. By fine-tuning our PySpark jobs, I was able to slash our ETL runtime by 42%, ensuring our clients had SLA-backed, real-time access to customer insights.

Jun 2020 – Mar 2021 · 9 mos · Pune, Maharashtra, India · Remote

• At Fantail I found the opportunity to build high-impact, full-stack applications for mission-critical US government projects. I engineered a scalable staff training portal using the edX platform, which successfully handled a 200% surge in user growth over just three months, serving thousands of concurrent users without a hitch. I also had the chance to contribute to major features for enterprise clients like Aramco, using Alfresco's powerful content management system to ensure seamless and secure information exchange.

Jan 2020 – Apr 2020 · 3 mos · Pune/Pimpri-Chinchwad Area · On-site

• My internship at Capgemini was an immersive experience in building resilient, enterprise-scale systems. I contributed to a microservices-based application using Java and Spring Boot, where I gained hands-on experience with critical cloud-native patterns. I implemented service discovery with Eureka and Zookeeper and built fault-tolerance mechanisms with Hystrix and Ribbon for load balancing. A key highlight was automating our CI/CD pipelines using Jenkins and Docker, which gave me a foundational understanding of DevOps principles and the importance of delivering reliable software at speed