Lead Solutions Architect with 15+ years of experience in Enterprise Architecture, Generative AI,
Data Science and Intelligent Automation,. Proven expertise in designing multi-agent systems,
AI-driven customer experience frameworks, and cloud-native architectures. Adept at leading crossfunctional teams and driving AI adoption roadmaps that deliver measurable business impact.

AgenticAI & Multi-Agent Orchestration: MCP,
LangChain, LangGraph, AutoGen, CrewAI,
OpenAgents, LangSmith, Langflow, Agent
collaboration models, task orchestration, role
assignment, RPA-BluePrism Integration
Generative AI & LLMs: GPT, BERT,
LangChain, LangGraph, Transformers,
PyTorch, RAG, Fine-tuning, NLP, Python
Data Science & ML: scikit-learn, NumPy,
pandas, ML models, MLflow, Model
Deployment, Feature Engineering, Model
Evaluation
Cloud AI Platforms: Azure OpenAI, Azure ML,
Azure AI, AWS Bedrock, AWS SageMaker
Data Engineering & Analytics: Azure
Databricks, Spark, Data Lakes, Infromatica, ETL
Pipelines, streaming & batch
workloads.Informatica, Talend, SSIS, AWS Glue.
DevOps & CI/CD: Docker, Kubernetes, Azure
DevOps, AWS DevOps, LLMOps, Automated
Testing
Monitoring & Observability: Prometheus,
Grafana, Azure Monitoring
Project Leadership: Agile/Scrum, Pre-sales,
RFPs, AI Governance, Stakeholder
Management, Go-to-Market Strategy

Publicis Sapient | Gurugram
Senior Technical Architect
11/2017 – Current
Spearheaded Generative AI & AgenticAI programs,
designing and deploying multi-agent orchestration
frameworks for CX and Operations workflows.
Architected LLM-powered cloud solutions (Azure OpenAI,
AWS Bedrock) enabling autonomous and intelligent systems
Professional Summary
Core Competencies
Certifications
Work Experience
for clients.
Integrated Blue Prism with Generative AI for intelligent
automation, workflow orchestration, and customer experience
transformation.
Designed and deployed ML models using scikit-learn, AWS
SageMaker predictive analytics and classification, improving
accuracy by 25%.
Implemented intelligent escalation, self-healing operations,
and proactive CX interventions to boost customer satisfaction.
Enhanced MarTech operations by integrating Salesforce and
HubSpot with AI-driven segmentation and predictive
analytics, improving campaign ROI by 25%.
Built scalable ETL pipelines in Azure Databricks for real-time
customer data analytics, increasing efficiency by 30%.
Automated infrastructure provisioning with Terraform &
CloudFormation, reducing deployment time by 40%.
Partnered with leadership on AI safety, governance, and
compliance frameworks, ensuring secure and explainable AI
adoption.
Mentored solution architects and engineering teams on
agentic design principles and best practices.
Deloitte consulting pvt. ltd. |
Gurugram
Architect – Data & Cloud
10/2016 – 11/2019
Designed and implemented scalable data pipelines using
Apache Spark, Hive, and AWS Glue for ETL and data lake
ingestion.
M