Rahul Kumar Singh

Software Engineer

Bengaluru, Karnataka, India5 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in backend development with AI/ML focus.
Proven track record in improving system efficiencies.
Strong experience in large-scale data processing.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in E-commerce and Data Analytics.

Contact

iamrjrahul003@gmail.com LinkedIn

Skills

Core Skills

Backend DevelopmentMachine LearningData AnalysisFull Stack Development

Other Skills

AWSAlgorithmsAmazon Web Services (AWS)Artificial Intelligence (AI)Artificial Neural NetworksAutomation ScriptingBERTBloggingC++CI/CDConvolutional Neural Networks (CNN)DatabasesDistributed SystemsHBaseHibernate

About

I am a Software Professional, having expertise in Backend development.

Experience

Flipkart

Software Development Engineer 3 (AI/ML)

Mar 2025 – Present · 1 yr · Bengaluru, Karnataka, India · Hybrid

Making Flipkart Search more customer friendly!!!!
1. Architected Flipkart’s real-time search-ingestion stack (Kafka → Pulsar → Storm → HBase/Solr), streaming 200 M product events/day and shrinking index lag 30 min → < 5 min while sustaining 99.99 % uptime.
2. Built a pluggable Java enrichment & schema-evolution layer with BERT classifiers, idempotent replay, and Pulsar-native DLQ/back-pressure controls —scaling smoothly to 3× traffic across 50+ verticals , lifting search CTR 12 % , and cutting P1s 45 % (MTTR < 12 min) while mentoring a six-engineer streaming team.

KafkaPulsarStormHBaseSolrJava+3

Google

Software Engineer 2

Mar 2024 – Feb 2025 · 11 mos · Bengaluru, Karnataka, India · Hybrid

Making Google Search faster and more reliable !!!
1. Built and owned “Trickle,” a distributed log-analytics platform (C++/Python) that ingests 5 TB+ of logs daily, extracts and aggregates business KPIs in under 60 seconds, and powers data insights for 20+ Google product teams.
2. Redesigned the real-time validation engine with a concise declarative rule language and streaming window evaluator, cutting false positives 40 %, tripling throughput, and shrinking alert latency from 10 minutes to < 1 minute.

C++PythonDistributed SystemsLog AnalyticsBackend DevelopmentData Analysis

Amazon

Software Application Engineer III

May 2021 – Mar 2024 · 2 yrs 10 mos · Bengaluru, Karnataka, India · On-site

1. Building sustainable and scalable software solutions that make use of Machine learning/Deep learning technologies to scale the implementation of the Defect Elimination System, which ensures that the data in Amazon's catalogue is correct, complete, and sufficiently detailed to give customers a consistent and positive shopping experience.
2. Working extensively to improve the efficacy of existing software solutions, accomplished 95% automated defect corrections of all Retail Business Catalogue defects.
3. Designing the Sherlock platform, which creates automated workflows to rectify or backfill erroneous catalogue attribute data at scale.
4. Working closely with other technical teams on maintaining multiple products and services, creating process automation scripts, monitoring and handling ad-hoc operational asks.
5. Technology Stack Using :- Java Tech Stack, Rest Web Services, Python, Kubernetes, CI/CD, AWS, JavaScript/TypeScript.

JavaPythonKubernetesAWSCI/CDBackend Development+1

Sensen networks

2 roles

Software Engineer

Aug 2020 – May 2021 · 9 mos

1. Designed and executed an internal custom file delivery and management tool called RTFB ( Real Time File Broadcast ) for automated processing systems amidst continuous integration and delivery.
2. Integrated the RTFB tool with features like MFA (Multi-Factor Authentication) , Multi-Part Upload , Server Side Encryption and made the file broadcasting within the organisation more secure and reliable.
3. Technology stack used:- Java, Spring, Hibernate.

JavaSpringHibernateBackend Development

Software Development Intern

Apr 2020 – Aug 2020 · 4 mos

Worked as a full stack software development engineer, my responsibilities include:
1. Development of the communication between the backend (which is a Machine learning engine) and the frontend.
2. Development of Frontend applications.(Designing web app pages, dashboards etc)
3. Development of automation scripts for automating different processes .

Full Stack DevelopmentAutomation Scripting