Shreyash H.

Software Engineer

San Jose, California, United States8 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Experienced in designing data-intensive systems.
Proficient in microservices and big data technologies.
Strong background in data quality and analytics.

Stackforce AI infers this person is a Fintech professional with strong expertise in data engineering and analytics.

Contact

shr.hisariya@gmail.com LinkedIn

Skills

Core Skills

MicroservicesData EngineeringData QualityData AnalyticsMachine Learning

Other Skills

AlgorithmsAnalyticsAndroid DevelopmentAndroid SDKAngularJSAnomaly DetectionApache AirflowApache KafkaApache PigApache SolrApache SparkArtificial IntelligenceCC++Data Analysis

About

- Currently working with Amazon in California with the last mile payments team. - Completed Master of Science in Computer Science (Data Science track) from Stony Brook University in New York, US. - Have 3 years of industry experience as Software Engineer at Visa Inc. India (Data Platform) with experience in designing data intensive systems, micro-services and big data.

Experience

Amazon

SDE II

Jun 2022 – Aug 2024 · 2 yrs 2 mos · Sunnyvale, California, United States

Stony brook university

3 roles

Computer Science Grader

Jan 2022 – May 2022 · 4 mos · Stony Brook, New York, United States

Working with Professor Richard McKenna. Assisting on the 2D Game Programming course.

Graduate Assistant

Aug 2021 – Dec 2021 · 4 mos · Stony Brook, New York, United States

Working with Professor I.V Ramakrishnan. Assisting on Artificial Intelligence Course (CSE 537) as a Grader.

Teaching Assistant

Jan 2021 – Jul 2021 · 6 mos · Stony Brook, New York, United States

I worked as a Teaching Assistant for CSE 114 - Introduction to Object Oriented Programming under Prof. Praveen Tripathi.

Visa

3 roles

Senior Software Development Engineer

Jul 2019 – Dec 2020 · 1 yr 5 mos

Team - Data Lake, Data Platform
Designed and delivered micro-services for Data Lake Controller which provided a metadata driven implementation to manage components of Visa Data Platform.
Developed platform to auto-generate data pipelines and deploy on apache airflow.
The services included
Scheduler micro-service in Java to deploy data pipelines to apache airflow. The service allows a user to author, schedule and monitor the data flow and view the dataset lineages.
Checkpoint micro-service to store the state of datasets which allows the multiple data pipelines to co-ordinate as per their execution schedule enabling smooth functioning of data platform.

JavaApache AirflowMicroservicesData Engineering

Software Engineer

Aug 2017 – Jul 2019 · 1 yr 11 mos

Team - Data Quality
Developed a data management and analytics platform for automating data quality checks across 28 heterogeneous data environments. The platform helped to reduce data quality issues by 46% by identifying common failures and also reduced time to identify data quality issues by 88%.
Scaled the data quality platform to perform more than 50,000 checks across completeness, consistency, accuracy, and timeliness dimensions of data.

Data ManagementAnalyticsData QualityData Engineering

Intern

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

Team - Data Labs
Developed anomaly detection framework using Holt Winter’s algorithm to detect inconsistencies in aggregated transaction data. Used weekly, monthly, yearly, holidays and special events as trends. for better accuracy. It helped to reduce the percentage of false alerts by 82% compared to previous moving average models.

Anomaly DetectionData AnalysisData AnalyticsMachine Learning