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Athish Shubhan

@athishshubhan

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Software engineering student building distributed systems, including a Raft scheduler sustaining 5,000 requests/sec.

Australia

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I implemented Raft from scratch for a distributed task scheduler, which sustained 5,000 scheduling requests per second at 90ms p99 latency in benchmark load tests. I deployed it across Azure VMs and validated fault tolerance through chaos testing.

As a Software Engineering Intern at Software Tree, I helped ship an enterprise workflow platform using MCP and the Agent2Agent protocol. I’ve also built PySpark pipelines over 10M+ documents and earned a Databricks Student Fellow place.

Experience

Work history, roles, and key accomplishments

Software Engineering Intern

Software Tree

Jan 2026 - Present (10 months)

Helped ship a multi-agent enterprise workflow platform on MCP and the Agent2Agent (A2A) protocol with LangGraph and LangChain. Troubleshot services across SQLite, MySQL, Snowflake, and Databricks backends.

MCP A2A LangGraph Lang Chain SQLite MySQL Snowflake Databricks SQL

Data Science & ML Intern

PeopleSense.AI (Glocol Networks)

Jan 2026 - Present (10 months)

Built and integrated ML pipelines on high-volume IoT edge telemetry for crowd analytics and urban mobility intelligence, deployed on AWS. Shipped geofenced Occupancy Alerting zones during Super Typhoon Bavi.

Machine Learning Probabilistic Modeling Dimensionality Reduction AWS IoT Geofencing

Agentic AI Intern

SMARTSA

Jan 2026 - Present (10 months)

Independently designed and built an end-to-end automation pipeline using LangChain / CrewAI that generates, schedules, and publishes content across four social platforms for a K6-K12 edtech platform.

Lang Chain Crew AI Automation Content Generation Scheduling