Ex-Architect, iXiGo · Ex-Staff Engineer, Synaptic · B.Tech CSE, NIT Hamirpur (Gold Medalist)
With 12+ years of experience shipping production software, Aseem has architected and led the systems behind some of India's highest-traffic consumer platforms, and over the last 3 years has brought that same depth to building production-grade agentic AI for real businesses.
Today, Aseem is building Agentcord.ai on a deliberate two-layer agentic architecture: a deterministic orchestration plane in LangGraph that handles goal setting, context assembly, and agent routing, paired with a Temporal-based autonomous execution engine that runs long-horizon agent workflows surviving failures, retries, and multi-day cycles. Every agent executes inside a gVisor-sandboxed runtime, communicates with the outside world over an MCP-mediated tool plane, composes its behaviour from a custom Skills layer, and is observed continuously by an Agent Evals harness, with the entire platform deployed on EKS.
Before Agentcord, Aseem was the Architect who led the entire Trains & Bus backend at iXiGo for five years, owning its team and its systems end to end. From that period came CrowdSource Running Status, the flywheel that drives organic customer acquisition at iXiGo to this day, built directly with Prashant Ghidiyal, then VP Tech at iXiGo and today the GenAI and Cybersecurity head at Delhivery (and ex-CEO of Devtron Labs). The system ingests tens of millions of GPS and cell-tower events daily through a real-time streaming pipeline on Apache Flink fused with carrier APIs, and powers a real-time delay-prediction model built on ARIMA that set a new bar for running-status accuracy across the industry. It is also the period in which he led the rearchitecture of the entire trains backend, graduating it from a classic microservices setup into a mature, reactive, strongly-consistent service mesh on Kubernetes and Istio. That programme retired static HAProxy edge routing in favour of dynamic, service-aware routing that treated canary and blue-green rollouts as first-class, replaced the previous Kibana-centric logging with an end-to-end NewRelic + Grafana + Loki observability stack, hardened failure isolation through a significantly improved Hystrix-based compartmentalisation layer, and introduced a Redis + ScyllaDB + Aerospike operational data layer tuned for the new latency and throughput profile. It was designed and shipped directly with iXiGo's CTO Rajnish Kumar and Ram Singla, today CEO of Temple at Eternal (the parent company of Zomato). Out of that same rearchitecture came an availability-prediction model that forecasts train-seat availability across routes and classes, shipping today inside the iXiGo train-search experience. From the same years came iXiGo's Travel Graph, a multi-modal A2B search graph on JanusGraph, ScyllaDB, and ElasticSearch that plans a single journey across bus, train, and flight in one query, and a real-time CDC pipeline on Kafka Connect and Debezium that propagated trip and transaction state across the platform.
He then took the entire Core Data Engineering function at Synaptic under his leadership, a 13-person team working directly with Anurag (CTO of the company), where he architected a workflow orchestrator on EKS, Apache Pulsar, JanusGraph, Apache Spark, and Apache Hudi, with Dask handling out-of-core parallel compute, that today runs 10,000+ concurrent pipelines over 10+ TB of data daily, and built out Synaptic's semantic-search and vector-embedding stack on ElasticSearch and ClickhouseDB alongside the Research team.
He recently served as architectural advisor on Squizify (Australia)'s full-stack modernisation and GenAI adoption, helping the world's first AI-powered Food Security Compliance platform evolve its core compliance workflow from a reactive system into a proactive, anticipatory agentic one. Separately, he continues to provide ongoing technical assistance to the Government of Himachal Pradesh's Hydrology Department, where his real-time sensor pipelines and flood-prediction models now run state-wide.