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.

View experience GitHub
Param Manoj Bhavsar, software engineer at Eaton
Portrait of 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 — and I think the future of "what does a software engineer do" is going to look very different.

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

Let's build something with agents

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