08/05/2026 updated
AC
100 % available
Enterprise Architecture & AI Systems Consultant | Workflow Orchestration | Fractional CTO
Lucknow, India
Only remote
M.Tech, Electronics and Communication Engineering, IIT (Dhanbad)Data ArchitectureEnterprise Architecture FrameworkIndustry Standard ArchitectureSoftware ArchitectureSolution ArchitectureSystems ArchitectureWorkflowsWorkflow Management SystemsData Strategy
Enterprise Architecture & Technology Strategy
Architecture spanning low-latency, real-time control systems and high-latency batch/workflow orchestration, including Near-RT control loops and Non-RT RIC. Application of TOGAF-aligned frameworks and TMF/eTOM standards for telecom environments, covering both high- and low-volume workloads.
Workflow Orchestration & Automation
Full-platform fluency in Camunda 7/8 and Zeebe, as well as ONAP (not limited to owned modules). Design of generic, UI-configurable workflow systems that scale to new use cases with minimal rework, enabling new product offerings through editing generic workflow tasks rather than new development.
AI/LLM Platforms
Hands-on experience with LangGraph, MLflow and Acumos, including model fine-tuning, agent memory and tooling frameworks. Building AI platforms with short- and long-term memory and reusable agent tooling frameworks, alongside data engineering pipelines for unstructured economic data.
Data Architecture
Selection and implementation of graph, relational and search databases based on scale, cost and query pattern. Evaluated and implemented Neo4j, JanusGraph/Cassandra, NebulaGraph (with custom UI extensions), PostgreSQL and Elasticsearch.
Observability & Monitoring
Design of observability pipelines fitted to scale and budget, including ELK stack with Fluentbit at large enterprise scale, and Prometheus, ClickHouse, Grafana and OpenTelemetry at lean-startup scale.
Cloud & DevOps
Practical experience with AWS, Kubernetes, CI/CD using GitHub Actions and Azure DevOps, and Jenkins automation. Platform choices driven by cost and organizational constraints rather than defaults.
Compliance & Data Privacy
Knowledge and application of India's DPDP Act and GDPR, including establishing DPDP-compliant security practices and environment segregation across the stack.
Cross-Domain Applicability
Architecture and orchestration patterns proven in telecom, directly transferable to healthcare, finance, legal, pharma and other complex or regulated domains.
Leadership & Team Management
Cross-functional and distributed team leadership, including lean and intern-staffed delivery teams. Experience directing teams of up to 70-80 interns and leading teams of 15 engineers across large transformation programs.
Machine Learning & Network Optimization
Development of ML models for network optimization including anomaly detection and traffic forecasting. Building machine learning models to reduce call drops and accelerate network migration through data-driven strategies.
Architecture spanning low-latency, real-time control systems and high-latency batch/workflow orchestration, including Near-RT control loops and Non-RT RIC. Application of TOGAF-aligned frameworks and TMF/eTOM standards for telecom environments, covering both high- and low-volume workloads.
Workflow Orchestration & Automation
Full-platform fluency in Camunda 7/8 and Zeebe, as well as ONAP (not limited to owned modules). Design of generic, UI-configurable workflow systems that scale to new use cases with minimal rework, enabling new product offerings through editing generic workflow tasks rather than new development.
AI/LLM Platforms
Hands-on experience with LangGraph, MLflow and Acumos, including model fine-tuning, agent memory and tooling frameworks. Building AI platforms with short- and long-term memory and reusable agent tooling frameworks, alongside data engineering pipelines for unstructured economic data.
Data Architecture
Selection and implementation of graph, relational and search databases based on scale, cost and query pattern. Evaluated and implemented Neo4j, JanusGraph/Cassandra, NebulaGraph (with custom UI extensions), PostgreSQL and Elasticsearch.
Observability & Monitoring
Design of observability pipelines fitted to scale and budget, including ELK stack with Fluentbit at large enterprise scale, and Prometheus, ClickHouse, Grafana and OpenTelemetry at lean-startup scale.
Cloud & DevOps
Practical experience with AWS, Kubernetes, CI/CD using GitHub Actions and Azure DevOps, and Jenkins automation. Platform choices driven by cost and organizational constraints rather than defaults.
Compliance & Data Privacy
Knowledge and application of India's DPDP Act and GDPR, including establishing DPDP-compliant security practices and environment segregation across the stack.
Cross-Domain Applicability
Architecture and orchestration patterns proven in telecom, directly transferable to healthcare, finance, legal, pharma and other complex or regulated domains.
Leadership & Team Management
Cross-functional and distributed team leadership, including lean and intern-staffed delivery teams. Experience directing teams of up to 70-80 interns and leading teams of 15 engineers across large transformation programs.
Machine Learning & Network Optimization
Development of ML models for network optimization including anomaly detection and traffic forecasting. Building machine learning models to reduce call drops and accelerate network migration through data-driven strategies.
Experience
Professional experience10+ years
Freelancer since2026
Languages
EnglishNative speaker
Project history
Co-founded and led the technical build of an AI-driven business intelligence platform unifying fragmented economic data into a graph database. Owned end-to-end technical architecture across frontend (React), backend, DevOps and AI/data science, directing a distributed team of 70-80+ interns. Designed a workflow-driven backend on Camunda 8/Zeebe, built the AI platform on LangGraph, and established DPDP-compliant security practices and CI/CD pipelines.
Architected and led delivery of core modules of Jio's end-to-end BSS/OSS replacement, a fully workflow-driven service orchestrator built to TMF/eTOM standards, including Design Studio, Activation Controller, and a Document Management System. Co-architected Design Studio on ONAP SDC, designed Activation Controller, directed development of a generic AI framework, and led a team of 15 engineers across roughly 45 existing systems.
Progressed through STL's Access Solutions division, advancing from individual contributor to owning team budget and go-to-market positioning. Architected and led development of a Non-RT RIC re-implementing the O-RAN R1 interface. Directed a team of up to 10 to deliver an MLflow/Acumos-based AI onboarding platform for rApps. Owned end-to-end product lifecycle and developed ML models for network optimization.