Telecom Core & IoT Engineer | DIAMETER · AAA · Kafka · Distributed Systems
I build the infrastructure that keeps telecom networks running — authentication systems, policy control, compliance tooling, and distributed data pipelines that operators depend on at scale.
I'm a Telecom Core Network Engineer specialising in the critical, invisible layer that every call, session, and byte of data passes through — authentication, policy enforcement, and compliance reporting. If a network can't correctly identify, authorise, or log its subscribers, everything downstream fails.
My most recent build was an IPLMS platform from the ground up, alongside DIAMETER AAA implementation for a telecom startup — handling real production traffic with regulatory compliance requirements architected in from day one, not bolted on after.
I also build distributed data platforms and IoT systems — streaming pipelines with Kafka, large-scale processing with PySpark and Databricks, and microservice architectures that handle the volume and velocity telecom and IoT environments actually produce. If your network generates data faster than you can process it, that's a problem I've solved before.
Most engineers understand how infrastructure works. The CFA programme is teaching me why capital flows where it does — which investments operators will actually make, which SLA commitments are financially sustainable, and where the next hundred billion in telecom and IoT infrastructure will be spent. Network engineering and capital allocation intersect more than either profession admits. Understanding both sides of that table is a deliberate choice, not a distraction.
Full implementation of the DIAMETER protocol stack covering authentication, authorisation, and accounting across Gx, Gy, and Rx reference interfaces — built for operators who can't afford sessions to drop.
End-to-end IPLMS platforms for DoT and TRAI regulatory compliance. Built from scratch, handling production-scale IP log capture, storage, and reporting — ready for inspection, every time.
Core network functions for 5G deployments — AUSF, UDM, and PCRF implementation with policy control that scales with subscriber growth without manual intervention.
Core network design and implementation for MVNOs — from subscriber provisioning to roaming interconnect. Helping virtual operators launch quickly without compromising on network integrity.
Core and access layer infrastructure for ISPs — AAA for broadband subscribers, billing integration, and network policy enforcement at the edge.
End-to-end IoT platform design — device connectivity, AAA for machine subscribers, real-time telemetry ingestion, and session management at M2M scale. Built for operators running thousands of connected devices under a single network policy.
Real-time data pipelines built on Kafka for high-throughput telecom event streams — CDRs, session events, policy triggers — processed and enriched at scale using PySpark and Databricks. Microservice architectures that decouple ingestion from analytics without sacrificing latency.
Machine learning pipelines that turn raw network telemetry and IoT data into operational intelligence — anomaly detection, traffic forecasting, and subscriber behaviour modelling built on distributed compute.
Architecture and implementation of telecom core network elements from the ground up — whether you're launching an MVNO, upgrading an ISP, or deploying private 5G.
Build or audit your IP Log Management System to meet DoT and TRAI requirements. Production-grade platforms designed for operator-scale volumes — not tick-box solutions.
Turn raw network telemetry and IoT data into actionable intelligence — traffic insights, anomaly detection, and subscriber behaviour modelling.
An independent review of your core network architecture, AAA configuration, or compliance posture — with clear, actionable recommendations from someone who has built it in production.
Telecom operators must submit IP session logs to the Department of Telecommunications on demand — but this startup had no compliant IPLMS or AAA infrastructure, and buying a vendor solution was not financially viable at their scale. I designed and built the entire IPLMS platform and DIAMETER protocol stack from scratch: Gx for policy control, Gy for online charging, and Rx for resource reservation — each interface implemented and tested against live production traffic. Compliance logging, retention windows, and regulatory reporting were designed in from day one, ensuring every DoT/TRAI requirement was satisfied before the first commercial subscriber was onboarded. The system went live handling real operator traffic and remains the authentication and compliance infrastructure the operator runs their network on today.
Core network architecture for a private 5G deployment — AUSF, UDM, and PCRF implementation with policy control designed to scale without manual intervention.
Network operators were accumulating years of telemetry from telecom and IoT sources, but data was processed in batch and surfaced through static dashboards that told you what happened — not what was about to. I built a streaming pipeline on Kafka for real-time telemetry ingestion, PySpark Structured Streaming for enrichment and feature engineering, and Databricks as the compute and storage layer — with anomaly detection running continuously on live KPI streams and a traffic forecasting model producing 24-hour load predictions per network segment. Operators can now see degradation patterns hours before user impact, and capacity decisions are driven by forward-looking forecasts rather than reactive incident reports.
Operators have invested $500B+ in 5G but ARPU remains flat because connectivity is still sold as a commodity. This platform lets enterprises describe connectivity needs in plain English — an LLM+RAG engine (trained over 3GPP Rel-17/18 specs) translates intent directly into S-NSSAI, 5QI, AMBR, and GFBR parameters, provisioning a dedicated slice in under 60 seconds. SLA Assurance AI detects breach risk sub-minute; a Contextual Bandit RL agent optimises pricing per slice tier; CAMARA-compliant APIs expose slice control to third-party developers.
Facility managers and NOC teams work from siloed systems that generate raw alarms without context — manual fault investigations take 40–60 minutes per incident. This platform unifies BMS sensors (HVAC, energy, access, elevators) and NMS devices (routers, BTS/RAN, servers, UPS) under a single Chat-to-Fix interface: operators describe a fault in plain English, the LLM+RAG engine retrieves device history and vendor runbooks, and returns a specific resolution in under 90 seconds. An LSTM model predicts hardware failures 24–72 hours ahead with 87% precision and auto-generates prioritised work orders; a GNN traces alarm cascades to the single root cause in under 8 seconds.
Telecom operators are entirely reactive — they learn about coverage failures when users complain, after the damage is done. This platform inverts that model: a 4-model ML ensemble (LSTM/TFT for time-series KPI forecasting, GNN for topology cascade propagation, Spatial RF Model for coverage hole prediction, Isolation Forest for real-time anomaly detection) fuses RAN KPIs, IPLMS session flows, weather/terrain data, UE probes, and NMS alarm history to produce a 0–100 outage risk score per cell site every hour. SHAP explainability surfaces the top 3 contributing risk factors; an LLM narrates the risk in plain English and recommends a proactive intervention — before a single user drops a call.
Telecom operators hold some of the richest data estates in the enterprise world — 5G KPI telemetry, CDRs covering hundreds of millions of subscribers, SLA logs, financial datasets — yet the vast majority never reaches the executives who need to make capital allocation decisions. AURA consolidates all network and business data into a Databricks Delta Lake lakehouse (Bronze/Silver/Gold), processed in near real-time by Apache Spark, with five AI models running continuously: XGBoost+LSTM churn prediction, TFT ARPU forecasting, Causal ML revenue attribution, Monte Carlo capacity ROI simulation, and a RAG-grounded executive LLM that answers any business question with auto-generated charts in under 10 seconds.
If you're building an MVNO, running an ISP, or deploying private 5G infrastructure, you need a core network engineer who has done it before — in production, under compliance scrutiny, with real traffic.
I'm open to freelance engagements, project-based consulting, and longer-term technical partnerships.
Whether you're building telecom core infrastructure, designing an IoT data platform, or need expertise across DIAMETER, 5G, Kafka, or distributed systems — I'd like to hear what you're working on.
ankitjha8891@gmail.com