Apr 2024 – Jan 2025 · 9 mos · San Francisco, California, United States

• Optimized BigQuery data refresh time for small-size data workloads by a factor of 6 via native integration using AWS task containers and eliminating the need for expensive third-party ETL tools.
• Streamlined complex data pipeline challenges by orchestrating workflows using Apache Airflow resulting in an impressive 85% reduction in onboarding time for new customers.
• Led a team of 3 to transform the data platform into a comprehensive self-serve Platform as a Service (PaaS), boosting customer satisfaction by 2.1% of Net Promoter Score(NPS).

Jan 2023 – Mar 2024 · 1 yr 2 mos · San Francisco, California, United States

Jul 2022 – Dec 2022 · 5 mos · Bengaluru, Karnataka, India

• Spearheaded the development of a data quality layer by enhancing “Deequ”, an Apache Spark data quality framework from Amazon, to maintain data sanity in 30% of production data pipelines which augmented prediction model accuracies by 3%.
• Developed an in-house Data Catalog leveraging the capabilities of “Apache Atlas”, effectively resolving data discovery challenges across the organization by establishing clear data lineage relationships.

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

• • Designed & implemented a robust OTP-based verification process tailored for risky buyers, successfully preventing the onboarding of 18.4K fraudulent users on the platform.

Jan 2022 – May 2022 · 4 mos · Bengaluru, Karnataka, India

• Crafted course materials, presented lectures, and provided hands-on student support for the course "Image Processing & Computer Vision" under Prof. Gowri Srinivasa's supervision, encompassing 10 case studies.
• Summarized research papers on Feature Extraction, Object Detection, Image Segmentation, and related topics to create course materials, earning an "Exemplary" rating from the instructor.

Nov 2020 – Nov 2021 · 1 yr

• Led the IEEE Robotics & Automation Society's core team, organizing 3 tech talks by industry experts and 2 intra-university competitions among 32 universities across the city, expanding the club's reach by 40% through effective social media campaigns.
• Directed a team of 4 to create a dynamic web app with React & Django for event management, resulting in a membership engagement surge from 40 to 115 during the pandemic.

Oct 2020 – Mar 2021 · 5 mos · Bengaluru, Karnataka, India

• • Designed and developed a Flask application for a healthcare client, delivering Speech Emotion Recognition insights to medical practitioners through various ML models.

Jun 2020 – Jul 2020 · 1 mo · Bengaluru, Karnataka, India

• Spearheaded a comprehensive performance analysis using YCSB, a benchmarking tool, to meticulously assess the throughput and latency of MongoDB, MySQL, and CrateDB and showcased CrateDB's impressive performance of a 22% increase in throughput for workloads exceeding 50,000 read operations per second.
• Employed the DeathStarBench open-source benchmark suite in both local and cloud environments to meticulously scrutinize system behavior and efficiency. The outcome underscored the Monolith application's supremacy, registering a noteworthy 12% enhancement in response times when accommodating 1,000 concurrent users.