Rajvi Shah

Software Engineer

4 yrs 10 mos experience

Most Likely To Switch

Key Highlights

3+ years of experience in backend systems.
Expertise in distributed systems and cloud-native microservices.
Hands-on experience with AI integration in backend systems.

Stackforce AI infers this person is a Backend Software Engineer specializing in Distributed Systems and Cloud Infrastructure.

Contact

rajvishah2309@gmail.com LinkedIn

Skills

Core Skills

Distributed SystemsCloud InfrastructureDeep LearningMachine LearningMicroservicesDockerNlp

Other Skills

Amazon Web Services (AWS)Analytical SkillsApache KafkaBack-End Web DevelopmentBashC languageC++CommunicationComputer VisionCore JavaData AnalysisData AnalyticsData CleaningData MiningData Structures

About

Backend Software Engineer | Distributed Systems | Cloud & AI Infrastructure | Data Pipelines Backend-focused Software Engineer with 3+ years of experience building scalable, production-grade backend systems using Python, Java, Go, ReactJS, SQL, Kafka, and AWS. I specialise in distributed systems, cloud-native microservices, and API platforms deployed with Docker and Kubernetes. At Barclays, CommScope, and Fusion Informatics, I’ve designed high-throughput services, real-time data pipelines, and internal developer platforms supporting mission-critical workflows. I also have hands-on production experience integrating LLMs, AI agents, and RAG pipelines into backend systems to improve automation, observability, and developer productivity. Core skills: Python, Java, Go, Typescript, ReactJS, REST/gRPC, AWS, Kubernetes, PostgreSQL, MongoDB, Redis, Kafka, Microservices, Distributed Systems 📩 Open to Backend / Platform / AI Infrastructure roles

Experience

4 yrs 10 mos

Total Experience

1 yr 2 mos

Average Tenure

3 yrs

Current Experience

Barclays

Software Engineer

Jun 2023 – Present · 3 yrs · Whippany, New Jersey, United States

Shell ScriptingMySQLBack-End Web DevelopmentDockerSoftware DesignTypeScript+8

San jose state university

2 roles

Graduate Teaching Assistant – Deep Learning (CMPE 258)

Jan 2023 – May 2023 · 4 mos · San Jose, California, United States · Remote

Prepared and delivered lectures on deep learning fundamentals and advanced topics including neural networks, CNNs, RNNs, transformers, optimization techniques, and model evaluation.
Designed, reviewed, and graded programming assignments and projects focused on hands-on implementation using Python, TensorFlow, and PyTorch.
Mentored students on debugging models, improving training performance, and applying deep learning concepts to real-world datasets.
Collaborated with the course instructor to refine course content, assessments, and grading rubrics.
Provided office hours and academic support to help students bridge theory with practical implementation.

Deep LearningMachine Learning

Research Assistant

Jan 2022 – Jun 2022 · 5 mos · San Jose, California, United States

Engineered and created five genome assembly tools and four graph-based algorithms (DNABERT) utilizing Python, Deep Learning for the analysis and classification of gene data achieving a 15% enhancement in accuracy
Conducted preprocessing and transformed four genotypes into machine-readable k-mers sequences, leading to a 45% reduction in classification time

BashDeep LearningMachine LearningSQL

Commscope

Software Engineer Intern

Jun 2022 – Dec 2022 · 6 mos · Sunnyvale, California, United States

Assembled descriptive differentiative analysis based on 12 factors for GitLab, FluxCD, and ArgoCD covering 90% of requirements & and developed microservices for notification alerts, maintenance, & and security with no downtime
Added unit tests for Python using pytest for Continuous Deployment (CD) components with 84% code coverage
Proposed & and automated Docker image creation, and upload to CD pipeline, reducing 80% time of developers

FlaskSQLDocker ProductsGitKubernetesReact.js+2

Medium

Tech Blogger

Sep 2020 – May 2022 · 1 yr 8 mos

- Created & published content to explain complex Machine Learning & Software Engineering topics in a simple way.

Fusion informatics limited

Software Engineer

Aug 2020 – Jul 2021 · 11 mos · Ahmedabad, Gujarat, India

Deployed a feature to automatically handle 20,000 data points, ensuring precise data extraction and conversion with a 95% accuracy rate
Conducted data analysis using MySQL and Python, revealing that over 90% of the audience had become stagnant, without updates in the last six months resulting in a 20% reduction in storage costs

JavaData StructuresMachine LearningDistributed SystemsSQLDocker Products+2

Knowarth technologies

Machine Learning Intern

Jan 2020 – Jun 2020 · 5 mos · Gandhinagar, Gujarat, India

Prepared dataset (10K OCRed documents) & and built an NLP model with 90% accuracy for document identification
Optimized data extraction & and automation by engineering custom algorithms, reducing team workload by 50%
Filtered accounting responsibilities by 70% through document identification & and tailored data extraction

Data StructuresFlaskMachine LearningSQLAmazon Web Services (AWS)React.js+2