<Career Path/>
Professional Journey
Data Engineer
Data Mavericks
Hyderabad
Mar 2024 - PresentFull-time
- ▹Designed and implemented scalable data and machine learning–ready pipelines on AWS (Kinesis, Lambda, S3, Glue, API Gateway), enabling downstream model training, inference, and analytics in Snowflake for both batch and real-time workloads
- ▹Built and maintained data preprocessing and feature preparation workflows to ensure data quality, consistency, and integrity for analytics and machine learning use cases
- ▹Supported deployment and monitoring of data-backed ML services by designing reliable event-driven architectures capable of handling high-throughput, low-latency workloads
- ▹Acted as a technical advisor on AWS cloud and Snowflake architecture, translating business and product requirements into scalable, secure, and cost-efficient technical designs
AWSSnowflakeKinesisLambdaS3GlueAPI Gateway
Data Science Intern
UIDAI Technology Centre
Bangalore
May 2023 - July 2023Internship
- ▹Developed and evaluated custom machine learning and deep learning models for biometric fraud detection, focusing on image classification and anomaly detection
- ▹Performed extensive data cleaning, preprocessing, and handling of imbalanced datasets to improve model robustness and evaluation metrics
- ▹Designed and executed experiments using CNN-based architectures for fingerprint analysis, comparing performance across precision, recall, and false acceptance rates
- ▹Implemented end-to-end ML workflows in Python using TensorFlow, OpenCV, and scikit-learn, with clear documentation of model behavior and results
PythonTensorFlowOpenCVscikit-learnCNNDeep Learning
Research Intern
Samsung Research Institute
Remote (Bangalore)
Dec 2022 - Aug 2023Internship
- ▹Built and optimized deep learning pipelines for pose estimation and keypoint detection using CNN-based architectures
- ▹Worked on data annotation validation and preprocessing pipelines to improve training data quality and reduce model bias
- ▹Collaborated with research scientists to translate experimental models into deployable and reusable ML components
- ▹Documented model assumptions, limitations, and evaluation outcomes to support reproducibility and iterative improvement
Deep LearningCNNPythonPose EstimationComputer Vision