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AI-augmented software engineer

I build distributed systems —
with a swarm of agents in the loop.

Software engineer with 4+ years shipping high-performance, event-driven systems — scaled HSBC payments from 95K to 410K req/s, ran fraud detection at >5K TPS, and now build AI-driven testing and IoT telemetry at Eaton. Below, a live stream of the coding agents working with me right now.

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Param Manoj Bhavsar
Live Lab

The agents working with me, in real time

Every time an AI coding agent (OpenCode, Claude Code, Copilot, Codex, …) helps me with something, it pings a small Cloudflare Worker. Below is that stream — events, stats, and an activity heatmap.

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Who's on the team this month

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Param Manoj Bhavsar
Based in
Galesburg, MI · open to remote
Currently
Software Engineer @ Eaton
Previously
HSBC · BMC Software · GSoC (TF)
MS CSE
The Ohio State University, 2024
Citations
19 · h-index 2 · i10 1
About

Building high-performance systems — now with agents in the loop.

I'm a software engineer with 4+ years of experience designing and optimizing distributed systems that power critical financial and IoT infrastructure. I've scaled HSBC payment processing from 95K → 410K req/s (5.3×), cut p99 latency 68%, and secured $3T+ in annual transaction volume across 4 jurisdictions.

At Eaton I built an event-driven telemetry pipeline serving 200K+ customers at 99.9% delivery reliability, and I architected an AI-driven unit-test generation workflow that raised coverage 80% → 90% while cutting authoring time 60%.

Lately, the most interesting part of my workflow is how much of it runs through AI coding agents. So I built a live stream of that activity — see Live Lab above — because the future of "what does a software engineer do" is going to look very different, and I'd rather show it than describe it.

Core focus

  • Event-driven architecture & microservices (Kafka, Service Bus, MuleSoft)
  • High-performance distributed systems (5K+ TPS, 410K req/s)
  • AI-augmented developer workflows (LLM agents, MCP, test generation)
  • Cloud-native (AWS, Azure, Kubernetes, Terraform)
  • Banking & FinTech domain (payments, fraud detection)
Experience

Work timeline

Jul 2024 — Present · Galesburg, MI

Software Engineer

Eaton
  • Designed event-driven telemetry pipeline (.NET Azure Functions + Service Bus) ingesting device metrics for 200K+ customers; 99.9% delivery reliability, −35% processing latency.
  • Built AI-driven unit-test generation workflow (OpenAI + agent orchestration) — coverage 80% → 90%, authoring time −60%.
  • Engineered automated test framework for BLE-mesh devices (Go, C++, Python, Azure) — release cycles 30 → 10 days.
  • Architected analytics platform unifying plant and product cloud data for defect prediction.
  • Coached 6 capstone students on BLE mesh + firmware simulation.
Jan 2022 — Jul 2022 · Pune, India

Senior Software Engineer · Commercial Banking

HSBC
  • Led multi-country onboarding of payment microservices — 30+ payment types across 4 jurisdictions, unlocking $150M new annual volume.
  • Worked on Banking-as-a-Service API platform (API Gateway, RSA, microservices) serving 18K+ corporate clients, $3T+ annual volume; auth throughput +20%.
  • Optimised staff operations portal (CloudFront + caching) — median page response −60%, P95 2s → 800ms.
  • Drove cross-team design reviews on tokenisation + rate-limiting risk model.
Jul 2019 — Dec 2021 · Pune, India

Software Engineer · Commercial Banking

HSBC
  • Decomposed monolith into 7 microservices (Java, Spring Boot, MuleSoft) — 95K → 410K req/s (5.3×), p99 latency 180 → 58ms (−68%).
  • Contributed to real-time fraud detection (Go, Kafka, Flink, K8s) — sustained >5K TPS, p95 780ms, false negatives −27%.
  • Delivered notification service (Java, React, IBM MQ, Kafka) for 10K+ corporate customers — 99.9% delivery, P95 <800ms.
  • Designed token-bucket rate limiter (Redis + Lua) sustaining 120K req/s, p99 <40ms.
  • Built blue/green deploy pipeline (GitHub Actions + Terraform) — rollout 30 → 9 min (3.3×).
May 2023 — Aug 2023 · Plymouth, MN

Software Engineering Intern

Eaton
  • Built GUI tool + GATT APIs (Qt, Python, C++) for IoT device control — testing effort −45%, production throughput +15%.
Oct 2018 — May 2019 · Pune, India

Project Intern

BMC Software
  • Architected private blockchain (Hyperledger Fabric) for licence & compliance management of CRM products.
  • Implemented dynamic smart contracts tracking 1500+ customers.
Education
Aug 2022 — May 2024
MS, Computer Science & Engineering
The Ohio State University

Specialisation: Distributed Systems & Cloud Architecture

Jul 2015 — May 2019
BE, Computer Engineering
Pune Institute of Computer Technology

Foundation in CS, software engineering, data structures.

Research

Publications

23 citations across machine learning, blockchain, and navigation systems. Google Scholar →

2022

Forecasting GDP per capita of OECD countries using machine learning and deep learning models

IRTM Conference · V Bhardwaj, P Bhavsar, D Patnaik · 11 citations

Application of ML/DL models to economic forecasting; comparative study across OECD countries.

View publication
2019

Audit and compliance in service management using blockchain

IEEE INDICON · C Ingle, A Samudre, P Bhavsar, PS Vidap · 12 citations

Novel approach to audit and compliance in service management leveraging blockchain for transparency and immutability.

View publication
2020

Autonomous Ephemeris Prediction Using Navigation Receivers

Research paper · P Bhavsar, A Kshirsagar, A Samudre

Autonomous navigation systems and ephemeris prediction using advanced navigation receivers — improving GPS accuracy via predictive modelling.

View publication
Skills

Tools of the trade

AI & Agents

LLMsOpenAI ClaudeMCP Agent orchestrationRAG TensorFlowSwift for TF

Languages

JavaPython C# / .NETGo TypeScriptC++

Distributed Systems

KafkaEvent-driven FlinkgRPC RedisHazelcast IBM MQ

Cloud & Infra

AWSAzure KubernetesDocker TerraformCloudflare Workers

Data

OraclePostgreSQL MySQLMongoDB RedisClickHouse

Frameworks

Spring BootMuleSoft ReactRedux .NETAzure Functions

DevOps

GitHub ActionsJenkins AppDynamicsOpenAPI

Security

RSA / TLSHMAC Auth / 2FARate limiting Threat modeling

IoT & Embedded

BLE MeshZephyr RTOS Azure IoTService Bus
Certifications

Cloud & data badges

Kubernetes in GCP Google Cloud · Oct 2020 APIs with Apigee Google Cloud · Sep 2020 Data Engineering Google Cloud · Sep 2019 GCP Essentials Google Cloud · Sep 2019 Data, ML, AI Google Cloud · Jul 2018
Contact

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