Where I've put hours in.
Three roles, oldest at the bottom. Each line is a specific thing I owned, not a job description.
- Mar 2024—PresentFull-time
Data Engineer
Data Mavericks·Hyderabad
- Designed and shipped data ingestion and analytics on AWS — Kinesis, Lambda, S3, Glue, API Gateway — with data landing in Snowflake for batch and real-time workloads.
- Standardized Snowflake ELT pipelines and AWS event-driven architectures, improving pipeline reliability and downstream analytics consumption.
- Acted as the technical advisor on AWS and Snowflake architecture decisions — scalability, reliability, security, and cost-aware design.
- Built AWS-to-Snowflake pipelines feeding AI/ML systems and informed roadmap discussions for internal data platform improvements.
- May 2023—Jul 2023Internship
Data Science Intern
UIDAI Technology Centre·Bangalore
- Built and evaluated machine learning pipelines for biometric fraud detection using supervised and deep learning techniques.
- Experimented with CNN-based fingerprint models to improve anomaly detection, evaluated against baseline classifiers.
- Implemented end-to-end ML workflows in Python — TensorFlow, OpenCV, scikit-learn.
- Dec 2022—Aug 2023Internship
Research Intern
Samsung Research Institute·Remote · Bangalore
- Developed computer vision pipelines for pose estimation and keypoint detection using deep learning frameworks.
- Built tooling that streamlined annotation, labeling, and validation workflows for the research team.
- Translated experimental research models into reusable ML components for downstream use.