Vishisht Priyadarshi

Software Engineer

Hyderabad, Telangana, India4 yrs 2 mos experience

Key Highlights

Expert in building scalable cloud infrastructure.
Proven track record in fraud detection and real-time data processing.
Strong experience in distributed systems and event-driven architecture.

Stackforce AI infers this person is a Cloud Computing and EdTech specialist with a focus on scalable infrastructure and fraud detection.

Contact

Skills

Core Skills

Cloud InfrastructureDistributed SystemsFraud DetectionScalabilityAutomation

Other Skills

ASP.Net CoreAWS S3AlgorithmsAsynchronous ProcessingAzure Data ExplorerCC#C++Computer VisionData AnalysisData StructuresDatabase Management System (DBMS)DjangoDockerGrafana

About

I build things that help build clouds. Literally. Scaling distributed systems that survive the chaos. Kafka, Docker, event-driven stuff, and making configs not terrible. Built fraud detection systems, published blockchain research on scalability, obsessed with things that scale. Passionate about real-time data and infrastructure that survive production. Always down to debate system design or complain about microservices.

Experience

Microsoft

2 roles

Software Engineer 2

Promoted

Sep 2024 – Present · 1 yr 6 mos · Hyderabad, Telangana, India

Azure Sovereign Cloud
Building Sovereign Clouds in new regions by reducing build-out time using Configuration-as-a-Code service that globally manages interdependent services’ configs during cloud deployment and build-out (by acting as a config broker)
Tech Stack: C#, ASP.Net Core, Docker, Kafka, Azure Data Explorer, Grafana.
Heavily contributed to multiple features in reaching GA of the service. Worked on developing its Rest API Service and asynchronous job processing system.
Participated in design and implementation of a distributed, fully-replicated key-value store, which is being used as non-ephemeral persistence method for the service.
Working on ingestion and publishing of config values in near real-time using Kafka. Refactored the system to introduce Kafka as a broker between various micro-services and achieve event-driven architecture.
Mentored summer intern project aimed at building a scalable notification system to support thousands of services taking a dependency on our solution.
Led the efforts for performance testing, benchmarking and establishing SLOs for the service.
Set up the networking infrastructure for executing the performance tests, and build automated pipelines to support frequent executions.
Contributed in extending the scope of config values from cloud level to various finer granularities like regions, availability zones, data centers, etc.
Designed and implemented a key integration pattern, which would allow onboarding cloud services to directly consume config values published by various other services. Built various materialized views and dashboards using the integration pattern that provides various insights derived from the config values.

C#ASP.Net CoreDockerKafkaAzure Data ExplorerGrafana+2

Software Engineer (L60)

Jul 2023 – Aug 2024 · 1 yr 1 mo · Hyderabad, Telangana, India

Azure Sovereign Cloud

Github

2 roles

Software Engineer I

Jul 2022 – Jun 2023 · 11 mos · Hyderabad, Telangana, India

GitHub Education
Tech Stack: Ruby on Rails, Javascript, Python, AWS S3, Redis, Twirp, PostgreSQL, Kubernetes, Docker, Looker, Splunk, Sentry, Datadog, Lightstep
Worked on scaling user verification and enhancing fraud detection capabilities of GitHub Education for larger user base, comprising of 2.5M+ students.
Contributed to the core of fraud detection system to catch several untrustworthy actors, potentially saving tens of thousands of dollars, and reducing the number of malicious users by 24%.
Completely refactored the detection system to process users in real-time and made several optimizations to reduce response time and p99 of the entire system.
Created several Proof-of-Concepts to increase resiliency and scale of the system.
Maintained Dynamic Rule Engine used for processing of applications for the Student Developer Pack.
Spearheaded the efforts to make use of Deep Learning models for increasing effectiveness of the fraud detection system.

Ruby on RailsJavaScriptPythonAWS S3RedisPostgreSQL+4

Software Engineer Intern

May 2021 – Jul 2021 · 2 mos

GitHub Education
Tech Stack: Ruby on Rails, Javascript, PostgreSQL, Splunk, Sentry
Built Dynamic Rule Engine and automated Grading System, product-driven tools to automate and speed up the processing of applications for the Student Developer Pack.
Reduced the manual process of reviewing the applications from around 30% to less than 1% using both the developed tools.

Ruby on RailsJavaScriptPostgreSQLAutomation