Career

Experience

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Position: Data Engineering Lead
Location: San Francisco, CA
Duration: Jan 2023 - Present
Description:
- Redesigned and optimized the data importer module for internal database population. Designed and implemented Data Access API to regulate access from backend and AI servers.
- Led a team of 3 engineers to transition from a home-grown ETL pipeline to an Airbyte-backed ELT pipeline. Oversaw design, milestones, and implementation. Developed an observability suite for monitoring and alerting.
- Led the design and development of a low-latency, customer-facing analytics dashboard backend, including database schema and AWS deployment.

Position: Software Engineer (On-Device Frameworks/Big Data Application)
Location: Cupertino, CA
Duration: Feb 2019 - Oct 2022
Description:
- Designed and developed on-device framework for private federated learning (CoreML Privacy), demonstrated at NeurIPS 2019.
- Ideated, designed, and developed on-device frameworks and daemons for API integration and A/B testing support.
- Created, deployed, and maintained Spark jobs for analytics data processing. Designed and developed dashboards for inferred metrics and statistical tools for experiment data analysis.

Position: Senior Software Engineer
Location: Bengaluru, India
Duration: Aug 2015 - May 2017
Description:
- Developed backend servers and REST APIs for Samsung Pay Spain Admin Portal.
- Led the design and development of the Value Added Services module for Samsung Pay India. Supported server performance testing using Dynatrace and HP Loadrunner.

Statistical Allocation Health Metrics for Experiment Validation: Designed and implemented a solution to address experiment validation pain points, coordinating with multiple teams and stakeholders at Apple.
Analytics Dashboard: Owned the analytics dashboard product, including Spark-based data processing and user-facing dashboard development/testing. Regularly met with stakeholders to understand business needs and deliver features.
Benchmarking ACAI/Fairhair.ai: Capstone project at CMU, developing realistic benchmark challenges for NLP tasks, focusing on Named Entity Recognition (NER).
Sharing-aware Last Level Cache Replacement Policy: B.Tech project at IIT Madras, developing a dynamic, sharing-aware cache replacement policy for multi-threaded workloads.

Programming Languages: Python, Java, SQL
Frameworks & Libraries: FastAPI, NiceGUI, requests, sqlmodel, sqlalchemy, psycopg2
Tools & Technologies: AWS, Data Engineering, ETL Pipelines, Server Engineering, Postgres,

Best Paper, SIGMETRICS 2020: Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication