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
Technology Architect Gen Ai Engineering Management System Architecture Cloud Security Qa
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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