Yash Anand

Senior Software Engineer

United States5 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led development of high-performance data platforms.
Designed fraud detection systems saving millions annually.
Expert in real-time data processing and analytics.

Stackforce AI infers this person is a SaaS Backend Engineer with expertise in data processing and AI-driven solutions.

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Skills

Core Skills

Software InfrastructureArtificial Intelligence (ai)Python (programming Language)Apache SparkAlgorithmsMicroservicesExtract, Transform, Load (etl)Apache FlinkAmazon Web Services (aws)

Other Skills

AWSApache KafkaApache Spark StreamingC++Cascading Style Sheets (CSS)Data StructuresDatasetsDebuggingElasticsearchEngineeringGo (Programming Language)HTML5HadoopHibernateIntegration Testing

About

As a Master of Science in Computer Science student at Northeastern University, I am passionate about learning and applying cutting-edge technologies to solve real-world problems. I have a strong background in data structures, computer science, and programming. Previously, I was a software development engineer at Dream11, where I led and contributed to several projects that enhanced the performance, security, and scalability of the platform. I designed and developed Backend for a self-serving ETL scheduling tool using Java and Python, a fraud detection system that blocked fraud users within 3 seconds, and a real-time alerting and analytics system using Apache Flink, Python, and ELK. I also moved Elastic Search from a fully managed service to a self-managed open source, saving 100k per month. Additionally, I was responsible for hiring SDE-1 and SDE-2 for the data platform team.

Experience

5 yrs 7 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 8 mos

Current Experience

Apache flink

Contributor

Apr 2025 – Present · 1 yr 2 mos

Contributing to open source Flink AI capabilites

Confluent

2 roles

Senior Software Engineer

Jan 2025 – Present · 1 yr 5 mos · Seattle, Washington, United States · Remote

Leading the event driven AI Agent architecture in confluent cloud, adding the feature to create streaming based durable AI Agents using APIs and SQL queries

Software InfrastructureSoftware DesignArtificial Intelligence (AI)Engineering

Software Engineer Intern

Jun 2024 – Sep 2024 · 3 mos · Austin, Texas, United States · Hybrid

Artificial Intelligence (AI)

Dream11

2 roles

SDE - 2

Jan 2022 – Dec 2022 · 11 mos · On-site

Developed an in-house clickstream data platform, exposed REST APIs in Spring Boot JAVA 11 handling 180 million RPM at peak. UtIlized Apache Spark, Apache Kafka for processing and migratIng data to AWS S3, redshift, saving $100k per month.
Designed and developed an end-to-end fraud detectIon system, saving the company $1.5 million annually, with NeptunDB for edge connectIons and post-processing in Redshift using Python scripts blocking the fraud user within 5 seconds.
Worked in a team of 5 developers to develop a No-Code ETL platform, reducing ETL setup time from a day to 20-30 minutes. Backend development in Spring (MVC), RESTful APIs and MySQL and custom operators for Airflow were developed in Python.
Improved design and efficiency of multiple backend services using object-oriented Programming to make services more robust.
Responsible for SDE 1 and SDE 2 hiring for the team.

AlgorithmsProblem SolvingPython (Programming Language)Spring BootApache FlinkApache Spark+17

SDE - 1

May 2020 – Dec 2021 · 1 yr 7 mos · On-site

I architected a real-time anomaly detection system using Apache Flink. This system is geared towards identIfying anomalies with minimum latency. AdditIonally, I created Kibana dashboards to visualize anomalies using data sent to ElasticSearch via Kafka.
Designed and developed self serve real-time data pipeline to ELK for analytics and alerting using python.
Moved Elastic search from fully managed service to self managed open source to save 100k per month.

AlgorithmsProblem SolvingPython (Programming Language)Spring BootApache SparkProgramming+17

Oyo

2 roles

Software Developer

May 2019 – May 2020 · 1 yr · Hyderabad, India

Led the development of the Lead Management System (LMS) leveraging event driven architecture and optimally breaking the system into 3 microservices, featuring REST APIs for quick CRUD operaIons on leads life cycle and Kafka for inter service communication. This initIatIve significantly reduced lead conversion time from 2 hours to 20 minutes.
Automated Lead conversion life cycle using AWS lambda and segregated LMS into multiple microservices with an API gateway as an entry point for load balancing and security improving the fault tolerance of the applicatIon and reaching 99.99% availability.

AlgorithmsProblem SolvingAmazon Web Services (AWS)Python (Programming Language)Spring BootProgramming+11

Software Developer Internship

Dec 2018 – May 2019 · 5 mos · Hyderabad, India

AlgorithmsProblem SolvingProgrammingDebuggingMicroservices

Navro technology solutions

Data Scientist internship

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

I was given end to end owner ship of developing python scripts to get the mentioned drug tweets from twitter and create a deep learning model to classify the tweets into ADRS and Non-ADRS and using CNN, BLSTM and CRF.