Param Manoj Bhavsar - Software Engineer

Param Manoj Bhavsar

Software Engineer

4+ years of experience designing and optimizing scalable, high-performance distributed systems and microservices for enterprise applications. Specialized in event-driven architecture, cloud-native development, and high-performance computing.

About Me

Building High-Performance Distributed Systems at Scale

Software Engineer with 4+ years of experience designing and optimizing distributed systems and microservices that power critical financial infrastructure. Proven track record of scaling systems from 95K→410K req/s (5.3× improvement), reducing latency by 68%, and achieving 99.9% uptime while securing $3T+ annual transaction volume.

Technical Leadership: Led multi-country payment processing expansion across 4 jurisdictions supporting 30+ payment types and unlocking $150M new annual volume. Architected event-driven telemetry pipeline serving 200K+ customers with 99.9% delivery reliability. Designed fraud detection platform sustaining >5K TPS with 27% reduction in false negatives. Mentored 6 capstone students in BLE mesh and firmware development.

Innovation & Impact: Built AI-driven API testing workflow increasing coverage from 80%→90% while cutting authoring time by 60%. Engineered automated test framework reducing release cycles 3× faster (30→10 days). Optimized staff operations portal, cutting median page response by 60% (P95 from 2s→800ms).

Engineering Philosophy: I build resilient, scalable systems through event-driven architecture, microservices decomposition, and comprehensive observability. Strong advocate for test-driven development, CI/CD automation, and data-driven decision making.

Core Competencies

  • • Event-Driven Architecture & Microservices (Kafka, Service Bus, MuleSoft)
  • • High-Performance Distributed Systems (5K+ TPS, 410K req/s)
  • • Cloud-Native Development (AWS, Azure, Kubernetes, Terraform)
  • • Banking & FinTech Domain Expertise (Payments, Fraud Detection)
  • • Technical Leadership & Cross-Functional Collaboration

Notable Achievements

  • Google Summer of Code: TensorFlow/Swift for TensorFlow contributor
  • Blockchain: Hyperledger Fabric consensus algorithm development
  • Research: Computer Vision (Ophthalmology), AutoML, Anomaly Detection
  • Open Source: Active contributor to ML and distributed systems projects

Experience

4+ Years in Software Engineering

Eaton (Software Engineer) • HSBC (Senior SDE)

Led distributed systems, cloud migrations, and payment processing at Fortune 500 companies

Education

MS in Computer Science & Engineering

The Ohio State University (2022-2024)

BE in Computer Engineering

Pune Institute of Computer Technology (2015-2019)

Impact Delivered

5.3×
Throughput Increase
68%
Latency Reduction
99.9%
System Uptime
$3T+
Volume Secured

Technical Expertise

Languages

Java, Python, C#, Go, TypeScript

Distributed Systems

Kafka, Event-Driven, Flink, Redis, gRPC

Cloud & Infra

AWS, Azure, Kubernetes, Terraform, Docker

Recognition

  • • Circle of Excellence Award - HSBC Q1 2022
  • • Google Summer of Code (GSoC) - TensorFlow
  • • Banking as a Service Forum Committee Member
  • • Led L2 Support & War Room Resolutions
  • • Research in ML, Computer Vision, Blockchain

Resume

Download my detailed resume or view my experience below

Download Resume (PDF)

Work Experience

Software Engineer

Eaton

Galesburg, MI

July 2024 - Present

Leading IoT telemetry infrastructure and AI-driven testing initiatives

  • Designed and implemented event-driven telemetry pipeline (.NET Azure Functions, Service Bus) ingesting device metrics for 200K+ customers; improved delivery reliability to 99.9% and cut processing latency 35%
  • Built AI-driven unit test generation workflow (OpenAI + agent orchestration) raising coverage from 80%→90% and cutting authoring time 60%, reducing escaped defects
  • Engineered automated test framework for connected BLE mesh devices (Go, C++, Python, Azure), cutting release cycle time from 30→10 days ⚡ 3× faster
  • Architected analytics platform unifying plant and product cloud data, enabling defect prediction and recall readiness
  • Coached 6 Capstone students in designing BLE mesh and firmware device simulation
.NET Azure Functions Service Bus Go Python C++ OpenAI BLE Mesh

Software Engineering Intern

Eaton

Plymouth, Minnesota

May 2023 - August 2023

Full-time internship developing IoT device testing and monitoring tools

  • Engineered GUI tool and GATT APIs using Qt Designer, Python, and C++ to enhance device control and monitoring, reducing testing efforts by 45% and increasing production throughput by 15%
Python C++ Qt Designer GATT APIs IoT GUI Development

Senior Software Engineer - Commercial Banking

HSBC

Pune, India

January 2022 - July 2022

Leading payment processing expansion and Banking-as-a-Service platform development

  • Led multi-country onboarding of payment processing microservices, extending support to 30+ payment types across 4 jurisdictions; unlocked $150M 💰 New Revenue
  • Worked on Banking-as-a-Service API platform (API Gateway, RSA encryption, microservices) serving 18K+ corporate clients and securing $3T+ annual volume, improved auth throughput by 20%
  • Optimized staff operations portal (CloudFront + caching) cutting median page response by 60% ⚡ 2s→800ms
  • Drove cross-team design reviews (Payments + Security) aligning on tokenization strategy and rate limiting risk model
Java Spring Boot API Gateway Microservices RSA Encryption AWS CloudFront

Software Engineer - Commercial Banking

HSBC

Pune, India

July 2019 - December 2021

Building high-performance distributed systems for financial services

  • Decomposed monolith into 7 microservices (Java, Spring Boot, MuleSoft), scaling throughput from 95K→410K req/s 📈 5.3× improvement and reducing p99 latency from 180→58ms ⚡ -68% via async messaging, circuit breaking, and cache warming
  • Contributed to real-time fraud detection platform (Go, Kafka, Flink, K8s) sustaining >5K TPS, p95 detection 780ms (median 320ms) and reducing false negatives by 27% (manual review backlog -15%)
  • Delivered high-throughput notification service (Java, React, IBM MQ, Kafka) supporting 10K+ corporate customers; achieved 99.9% delivery reliability with P95 latency <800ms
  • Designed token-bucket rate limiter (Redis + Lua) sustaining 120K req/s with p99 <40ms
  • Implemented payment tracking and authorization UI (React, Redux) driving 10% YoY increase in active users
  • Built blue/green deployment pipeline (GitHub Actions + Terraform) cutting rollout time from 30 min→9 min ⚡ 3.3× faster
Java Spring Boot MuleSoft Go Kafka Flink Kubernetes Redis React GitHub Actions

Project Intern

BMC Software

Pune, Maharashtra, India

October 2018 - May 2019

Building blockchain-based license and compliance management system

  • Architected and built private Blockchain network using Hyperledger Fabric framework to support licenses and compliance management of CRM products
  • Implemented dynamic Smart Contracts for license tracking of 1500+ customers, ensuring transparency and immutability in license management
Hyperledger Fabric Blockchain Smart Contracts Distributed Systems CRM Compliance

Education

MS in Computer Science and Engineering

The Ohio State University

Columbus, OH

August 2022 - May 2024

Specialized in Distributed Systems and Cloud Architecture

Bachelor of Engineering in Computer Engineering

Pune Institute of Computer Technology

Pune, India

July 2015 - May 2019

Foundation in Computer Science, Software Engineering, and Data Structures

Research & Publications

Academic contributions and research work

View Google Scholar Profile
19 Citations 2 h-index 1 i10-index

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

V Bhardwaj, P Bhavsar, D Patnaik

2022 Interdisciplinary Research in Technology and Management (IRTM). This paper explores the application of machine learning and deep learning techniques for economic forecasting, comparing various models to predict GDP per capita for OECD countries.

2022 IRTM Conference 8 Citations View Publication
Machine Learning Deep Learning Economic Forecasting Time-Series

Audit and compliance in service management using blockchain

C Ingle, A Samudre, P Bhavsar, PS Vidap

2019 IEEE 16th India Council International Conference (INDICON). This paper presents a novel approach to audit and compliance in service management leveraging blockchain technology to ensure transparency, immutability, and security in enterprise environments.

2019 IEEE INDICON 11 Citations View Publication
Blockchain Service Management Audit & Compliance Distributed Systems

Autonomous Ephemeris Prediction Using Navigation Receivers

P Bhavsar, A Kshirsagar, A Samudre

Research work on autonomous navigation systems focusing on ephemeris prediction using advanced navigation receivers. This study contributes to improving GPS accuracy and reliability through predictive modeling.

2020 Research Paper View Publication
Navigation Systems GPS/GNSS Predictive Modeling IoT

Skills & Technologies

Technical expertise across distributed systems, cloud platforms, and full-stack development

Programming Languages

Java Python C# (.NET) Go TypeScript JavaScript C++

Distributed Systems

Kafka Event-Driven Flink gRPC Redis Hazelcast IBM MQ

Databases

Oracle Database PostgreSQL MySQL MongoDB Redis ClickHouse

Frameworks & Libraries

Spring Boot MuleSoft React Redux .NET Azure Functions Zephyr RTOS

Cloud & Infrastructure

AWS Azure Kubernetes Docker Terraform Cloud Foundry CloudFront

DevOps & Tooling

GitHub Actions Jenkins AppDynamics Swagger/OpenAPI Git Figma

Security & Quality

RSA Encryption 2FA/Auth Load Testing Threat Modeling IAM Static Analysis

Machine Learning & AI

LLM OpenAI AI Agent MCP TensorFlow Swift for TF Scikit-learn Pandas NumPy

IoT & Embedded

BLE Mesh Zephyr RTOS Azure IoT Service Bus Device Telemetry

Certifications

Kubernetes Badge

Kubernetes in GCP

Oct 2020 • View

K8s Docker
Apigee Badge

APIs with Apigee

Sep 2020 • View

Apigee API Mgmt
Data Engineering Badge

Data Engineering

Sep 2019 • View

BigQuery Dataprep
GCP Essentials Badge

GCP Essentials

Sep 2019 • View

GCP Cloud
Data ML AI Badge

Data, ML, AI

Jul 2018 • View

ML AI

Get In Touch

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