Gaurav Shukla

CEO

Bengaluru, Karnataka, India11 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Architected high-performance systems with 99.95% uptime.
  • Led teams of up to 20 engineers in diverse domains.
  • Achieved significant cost savings through strategic tech adoption.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Healthcare and SaaS solutions.

Contact

Skills

Core Skills

Cloud ArchitecturePerformance EngineeringMicroservices

Other Skills

RustNode.jsPythonAWSGraphQLKubernetesAzureEvent-drivenDecision-MakingTeam ManagementPublic SpeakingAPI DevelopmentServerless ComputingBack-End Web DevelopmentRESTful WebServices

About

πŸ¦€ Building high-performance systems where milliseconds matter | Rust + Node.js + AWS I architect polyglot microservices platforms that process 100K+ daily transactions with 99.95% uptimeβ€”selecting the right tool for each job: Rust for performance-critical paths, Node.js for rapid development, Python for ML/AI integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 WHAT I DO BEST β€’ Performance Engineering: Rust microservices achieving <50ms latency at 100K+ events/min β€’ Cloud Architecture: AWS-native solutions (Lambda, ECS, DynamoDB, RDS, EventBridge) β€’ Technical Leadership: Led teams up to 20 engineers across BE/FE/QA β€’ Domain Expertise: Healthcare (Bayer), Pharma, Agriculture, Real Estate β€’ Production Rust: 4-5 years building mission-critical services (Tokio, Axum, Diesel) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ πŸ† RECENT IMPACT At Persistent Systems (Current): βœ“ Reduced infrastructure costs 25% through strategic Rust adoption βœ“ Built AI-powered contact center platform processing 10K+ calls daily βœ“ Achieved 60% performance improvement in compute-intensive operations βœ“ Managed enterprise asset platform serving 50K+ daily active users ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ πŸ› οΈ TECHNOLOGY STACK **Primary**: Rust (Tokio, Axum, Diesel), Node.js (NestJS, Express), TypeScript, AWS (10+ yrs) **ML/AI**: Python (FastAPI, pandas, scikit-learn), AWS AI services (Transcribe, Comprehend, Lex) **Infrastructure**: Docker, Kubernetes (EKS), Serverless, CloudFormation, PostgreSQL, DynamoDB ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🌍 WORK PREFERENCES βœ“ Fully Remote (Operating from Bengaluru, India) βœ“ Open to global opportunities & time-zone flexibility βœ“ Interested in: Healthcare/Pharma, Fintech, Infrastructure tooling βœ“ Exploring: Generative AI, Agentic AI, LLM integration ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ πŸŽ“ CREDENTIALS β€’ AWS Solutions Architect Associate β€’ Azure Developer Associate (AZ-204) β€’ MCA, Computer Science ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ πŸ“¬ LET'S CONNECT Building something that needs Nodejs / Python/ Rust performance or polyglot microservices expertise? Let's talk about how to architect systems that scale. DM me here or connect at: gshukla1@zohomail.in

Experience

11 yrs
Total Experience
1 yr 6 mos
Average Tenure
3 yrs 6 mos
Current Experience

Persistent systems

Project Leader

Nov 2022 – Present Β· 3 yrs 6 mos Β· Bengaluru, Karnataka, India Β· Remote

  • Lead architecture and development of enterprise cloud solutions using polyglot microservices
  • (Node.js/Rust/Python). Balance hands-on engineering (60%) with technical leadership (40%),
  • managing cross-functional teams while personally architecting performance-critical services.
  • ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  • πŸ—οΈ ENTERPRISE ASSET MANAGEMENT PLATFORM
  • Scale: 50K+ daily users | 2M+ assets | 100K+ daily transactions | 99.95% uptime
  • Architecture:
  • Node.js/NestJS (10 services): Business logic, auth, notifications, GraphQL APIs
  • Rust (3 services): Real-time analytics (<50ms latency), search indexing, file processing
  • Python/FastAPI (3 services): ML-based predictions, data analytics
  • Impact:
  • βœ“ Reduced manual tracking time 70%
  • βœ“ Achieved 25% infrastructure cost savings via optimal tech selection
  • βœ“ 60% performance improvement in compute-intensive operations
  • βœ“ Zero-downtime blue-green deployments (15 min vs 2+ hours previously)
  • ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  • πŸ€– AI-POWERED CONTACT CENTER INTELLIGENCE
  • Scale: 10K+ calls/day | <200ms latency | 95% sentiment accuracy
  • Architecture:
  • Rust: Real-time audio stream processor (Tokio, Actix-Web, WebSockets)
  • Node.js: Call orchestration, WebSocket server, GraphQL dashboard
  • Python: ML pipelines (sentiment analysis, entity extraction, scoring)
  • Impact:
  • βœ“ Improved call quality scoring 35%
  • βœ“ Reduced manual QA time 60%
  • βœ“ Processed 3M+ calls in production
  • Technologies: Rust (Tokio, Actix-Web), NestJS, Python (FastAPI, scikit-learn),
  • AWS Transcribe, Comprehend, Lex, Chime SDK, Kinesis
  • ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  • πŸ‘₯ LEADERSHIP & MENTORING
  • Managed team of 5 engineers across backend/frontend/QA
  • Mentored on polyglot architecture: Node.js patterns, Rust ownership model, Python ML serving
  • Improved code review efficiency 35%, reduced production bugs 40%
  • ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  • πŸ› οΈ Core Tech Stack:
  • Node.js (NestJS, Express, Apollo Server) β€’ Rust (Tokio, Axum, Diesel, Serde) β€’
  • Python (FastAPI, pandas)
RustNode.jsPythonAWSMicroservicesCloud Architecture+1

Propertyguru group

Senior Software Engineer

Sep 2022 – Nov 2022 Β· 2 mos Β· Bengaluru, Karnataka, India Β· Remote

  • Built high-performance property search and management microservices using polyglot architecture.
  • 🏘️ PROPERTY SEARCH & MANAGEMENT PLATFORM
  • Scale: 20K+ daily active users | 10K+ concurrent searches
  • Node.js (NestJS, TypeScript): Property management, user authentication
  • Rust (Axum, SQLx): High-performance GraphQL API for property search
  • Python (FastAPI): Image processing and ML-based property recommendations
  • Impact: Sub-100ms response times for 10K+ concurrent users, 40% memory reduction vs Node.js-only implementation, zero-downtime deployments with Kubernetes rolling updates
  • Tech: Node.js (NestJS, TypeScript), Rust (Axum, Tokio, SQLx, Tower, Serde), Python (FastAPI), Docker, Kubernetes (EKS), PostgreSQL, MongoDB, Elasticsearch, Redis, React
  • Reason for Leaving: Company-wide layoff
Node.jsRustPythonGraphQLAWSKubernetes+2

Pactima

Senior Software Engineer

Apr 2022 – Jul 2022 Β· 3 mos Β· Canada Β· Remote

  • Developed serverless backend for eSignature platform with performance-optimized document processing.
  • πŸ“„ ESIGNATURE PLATFORM
  • Architecture:
  • Node.js (NestJS): Serverless backend on AWS Lambda for document management and workflow orchestration
  • Rust (Actix-Web, SeaORM, Tokio): Document processing with async file handling
  • Python (FastAPI): PDF manipulation and document analytics on Azure Functions
  • Impact: 3x faster document processing than previous Node.js implementation, 40% memory usage reduction through Rust optimization, integrated with Azure Blob Storage for scalable document storage
  • Tech: Node.js (NestJS, Express.js), Rust (Actix-Web, SeaORM, Tokio), Python (FastAPI), AWS Lambda, Azure Functions, PostgreSQL, MongoDB, React
  • Reason for Leaving: Company-wide layoff
Node.jsRustPythonAWSAzureMicroservices+1

Bayer

Senior Software Engineer

Apr 2021 – Apr 2022 Β· 1 yr Β· Bengaluru, Karnataka, India Β· Remote

  • Designed serverless APIs and IoT data pipelines for digital farming solutions using polyglot microservices architecture.
  • 🌾 IOT DATA PROCESSING PIPELINE
  • Scale: 100K+ sensor events/min | 50K+ connected devices
  • Architecture:
  • Node.js (Express.js, TypeScript): API layer, device management, farmer services
  • Rust (Rocket, Tokio): High-throughput stream processing with custom protocol parsing
  • Python (FastAPI, Flask): ML-based crop recommendations, weather analytics
  • Impact: 35% reduction in data processing costs through efficient Rust memory management, real-time crop health insights to 50K+ farmers, minimal latency for time-critical agricultural data
  • Tech: Node.js (Express.js, TypeScript), Rust (Rocket, Tokio), Python (FastAPI, scikit-learn, pandas), AWS Serverless Framework, Lambda, Kinesis, DynamoDB, PostgreSQL, IoT Core
  • πŸ‘₯ LEADERSHIP: Led team of 4 engineers, mentored on async programming patterns across Node.js, Rust, and Python, introduced TypeScript for type safety and improved code quality
Node.jsRustPythonAWSMicroservicesCloud Architecture

Hcl technologies

Tech Lead

Oct 2019 – Mar 2021 Β· 1 yr 5 mos Β· Bengaluru, Karnataka, India

  • Led cloud solutions development for data warehouse product, managing Docker and Kubernetes-based microservices architecture.
  • ☁️ DATA WAREHOUSE CLOUD SOLUTIONS
  • Team: 12 engineers (Backend + Frontend + QA)
  • Architecture:
  • Node.js (Express.js, TypeScript): RESTful APIs, business logic services
  • Rust (Tokio): Performance-critical data processing modules (early adoption)
  • Python (Flask, FastAPI): Data transformation and analytics services
  • Impact: 45% improvement in data processing throughput through Rust adoption, 30% reduction in memory usage in critical pipelines, architected event-driven microservices with RabbitMQ for async processing, achieved high availability through Kubernetes horizontal scaling
  • Tech: Node.js (Express.js, TypeScript), Rust (Tokio), Python (Flask, FastAPI), Docker, Kubernetes, AWS, Azure, GCP, PostgreSQL, MongoDB, RabbitMQ, Angular
Node.jsRustPythonAWSAzureMicroservices+1

Actian

Full Stack Engineer

Oct 2019 – Mar 2021 Β· 1 yr 5 mos Β· Bengaluru, Karnataka, India Β· Remote

  • Led cloud solutions development for data warehouse product, managing Docker and Kubernetes-based microservices architecture.
  • ☁️ DATA WAREHOUSE CLOUD SOLUTIONS
  • Team: 12 engineers (Backend + Frontend + QA)
  • Architecture:
  • Node.js (Express.js, TypeScript): RESTful APIs, business logic services
  • Rust (Tokio): Performance-critical data processing modules (early adoption)
  • Python (Flask, FastAPI): Data transformation and analytics services
  • Impact: 45% improvement in data processing throughput through Rust adoption, 30% reduction in memory usage in critical pipelines, architected event-driven microservices with RabbitMQ for async processing, achieved high availability through Kubernetes horizontal scaling
  • Tech: Node.js (Express.js, TypeScript), Rust (Tokio), Python (Flask, FastAPI), Docker, Kubernetes, AWS, Azure, GCP, PostgreSQL, MongoDB, RabbitMQ, Angular
Node.jsPythonAWSAzureMicroservicesCloud Architecture

Publicis sapient

Associate software development engineer -2

Feb 2019 – Jun 2019 Β· 4 mos Β· Greater Bengaluru Area Β· On-site

  • Developed RESTful microservices using Node.js and Python for cloud-based applications on AWS and Azure.
  • Led small team and managed client communications for API development projects, delivering serverless solutions on AWS Lambda with API Gateway.
  • Tech: Node.js (Express.js), Python (Flask), Docker, Kubernetes, AWS Lambda, API Gateway, DynamoDB
Node.jsPythonAWSMicroservicesCloud Architecture

Accion labs

Senior Software Engineer

Mar 2018 – Jan 2019 Β· 10 mos Β· Bangalore

  • Developed payment gateway integration and financial data integration with SAP systems using Node.js and Python for eCommerce platform.
  • Led team of 6 engineers, implementing microservices architecture using Node.js and Python with Docker-based orchestration on Kubernetes, handling 50K+ daily transactions.
  • Tech: Node.js (Express.js), Python (Flask), Swagger, Docker, Kubernetes, SAP, Mulesoft, AWS, PostgreSQL, Angular
Node.jsPythonAWSAzureMicroservicesCloud Architecture

L&t technology services limited

Senior Software Engineer

Aug 2014 – Feb 2018 Β· 3 yrs 6 mos Β· Mysore Β· On-site

  • Developed backend APIs using Node.js and Python for IoT platforms, rapid prototyping systems, and energy management solutions.
  • Built REST APIs for energy meters management and agricultural automotive simulators on AWS and Azure, handling real-time data streams from IoT devices using AWS IoT and Kinesis.
  • Mentored junior developers on Node.js and Python best practices, managed customer communications for technical requirements and delivered multiple projects end-to-end.
  • Tech: Node.js (Express.js), Python (Flask), AWS (IoT, Kinesis, Lambda, DynamoDB, S3), Azure (IoT, DocumentDB), Angular, React
AWSAzure

L&t integrated engineering services

internship

Jan 2013 – Jun 2013 Β· 5 mos

  • cloud computing
  • azure cloud services development ,deployment .
  • azure virtual machines,
  • azure web apps development and deployment.

Education

PSIT Kanpur (Pranveer Singh Institute of Technology)

Master of Computer Applications - MCA β€” Computer Science

Aug 2010 – Aug 2013

PSIT Kanpur (Pranveer Singh Institute of Technology)

Master of Computer Applications (M.C.A.) β€” Computer Software Engineering

Jan 2010 – Jan 2013

Dr. Virendra Swarup Institute of Computer Studies, Kanpur

Bachelor of computer applications B.C.A β€” Computer Software Engineering

Jan 2006 – Jan 2009

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