Anubhav Babbar

Technology Architect at Persistent systems

Role
Technology Architect Gen Ai Engineering Management System Architecture Cloud Security Qa at Persistent Systems
Location
Gurugram, HR, IN
LinkedIn followers
500 followers

About Anubhav Babbar

With over 14 years of hands-on and strategic leadership, I harness Python’s versatility to transform ideas into scalable, high-performance solutions. I spearhead API-first, data-driven platforms using Django, FastAPI, Flask, and Nginx microservices, enforce code quality with Black, Flake8, Mypy, and Bandit, and package dependencies via Poetry and Pipenv.I build resilient, event-driven pipelines with Celery, aiohttp, Kafka, and RabbitMQ, then containerize and orchestrate them on Docker and Kubernetes (Helm). By weaving in multi-cloud CI/CD and IaC—Jenkins, GitHub Actions, Azure DevOps, GCP Cloud Build, Terraform, Pulumi, Ansible, Argo CD, Spinnaker—I deliver self-healing, zero-downtime environments. As a seasoned architect, I define enterprise-wide roadmaps across cloud (AWS, GCP), data, and applications, integrate emerging tech (AI/ML, blockchain, VR, serverless), and lead agile teams to accelerate release cycles by 30–50% while upholding enterprise-grade quality, security, and cost optimization. Key Technical & Leadership Skills - Python & Frameworks: Django · FastAPI · Flask · PySpark · aiohttp - API & Microservices: REST · GraphQL · gRPC · Nginx - Code Quality & Packaging: Black · Flake8 · isort · Mypy · Bandit · Poetry · Pipenv - Testing & Automation: Pytest · pytest-cov · Selenium · Locust · Boto3 - Event‐Driven Pipelines: Celery · Kafka · RabbitMQ - Containerization & Orchestration: Docker · Kubernetes · Helm - CI/CD & GitOps: Jenkins · GitHub Actions · Azure DevOps · GCP Cloud Build · Argo CD · Spinnaker - Infrastructure as Code: Terraform · Pulumi · Ansible · GCP Deployment Manager - Cloud Platforms & Monitoring: AWS · GCP · CloudWatch · Cloud Monitoring · ELK · Prometheus · Grafana - Emerging Technologies: AI/ML (TensorFlow, PyTorch) · Blockchain (Hyperledger PoC) · VR Prototyping · Serverless - Leadership & Delivery: Technology vision & roadmapping · Cross-functional team leadership · Agile coaching · Mentorship · Innovation culture · 30–50% release acceleration · Enterprise security & compliance

Experience

  1. Technology Architect Gen Ai Engineering Management System Architecture Cloud Security Qa

    Persistent Systems

    Mar 2023 — Present · IN

    Defined a 3-year technology vision and enterprise roadmap across cloud, data, and applications; co-chair architecture council with the CTO- Translated business requirements into resilient system designs, roadmaps, and proofs-of-concept- Refined a GPT-4 code review assistant on AWS Lambda with LangChain, improving developer throughput by 25%- Managed LLM training and fine-tuning on SageMaker and OpenRouter, iterating data preprocessing and hyperparameters for daily interactions-Established roadmap for enterprise test automation evolution, introduced QA/Automation modernization path, PoCs for AI-based test data generation, and formalized governance metrics and RAG logs- Standardized GitOps (Argo CD) and Terraform IaC with Python modules for dynamic configuration, tripling deployment velocity- Delivered federated learning prototypes in Python (PySyft, TensorFlow) with differential privacy across 10+ sites- Designed SQL (PostgreSQL)/NoSQL (MongoDB, Cassandra) solutions using Python ORMs (SQL Alchemy, PyMongo) to optimize schemas and indexing- Conducted system analysis to resolve integration challenges between Python microservices, third-party APIs, and hardware- Managed Python-driven test environment orchestration: automated data provisioning, tool configuration, and monitoring dashboards- Integrated SAST/DAST into Python CI workflows and automated evidence collection for ISO27001 compliance- Migrated monolithic analytics platform to Python microservices and streaming pipelines (Kafka → PySpark) for sub-second insights- Built TLS-secured Python gRPC and REST services (Flask) for dashboards and alerts; implemented CI/CD with Jenkins and Terraform- Introduced distributed tracing and resilience patterns; reduced MTTR by 35%- Automated test environment setup via Python scripting: generated test data, configured Selenium/Appium grids, and monitored infrastructure availability.

Education

  • Guru Gobind Singh Indraprastha University

    Bachelor of Technology (B.Tech.), Information Technology

    2006 — 2010

  • Birla Institute of Technology and Science, Pilani

    Master of Technology (M.Tech.), Computer Software Engineering

Skills

  • Data Analysis
  • Html
  • Manual Testing
  • Salesforce.com
  • Black Box Testing
  • Waterfall
  • System Testing
  • Software Development Life Cycle (Sdlc)
  • Test Planning
  • C++
  • Automated Software Testing
  • Business Analysis
  • Systems Analysis
  • Defect Tracking
  • Intelligence Analysis
  • Databases
  • System Integration Testing
  • Agile Testing
  • Test Automation
  • Project Management
  • Agile Methodologies
  • .net
  • Quality Assurance
  • Web Applications
  • Software Testing
  • Sql
  • Integration Testing
  • Test Cases
  • Functional Testing
  • Usability Testing
  • User Acceptance Testing
  • Regression Testing
  • Core Java
  • Testing
  • Mobile Applications
  • Xml
  • Microsoft Sql Server
  • Mysql
  • Reporting & Analysis
  • Requirements Analysis

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Anubhav Babbar — Technology Architect Gen Ai Engineering Management System Architecture Cloud Security Qa at Persistent Systems in Gurugram, HR, IN | Unifers