Senior Software Engineer with 5+ years of experience building distributed backend systems, financial platforms, and AI/ML integrations.

Currently at JP Morgan Chase & Co. in Dallas, Texas — designing and implementing secure, high-throughput payment APIs and microservices for banking operations.

• Building secure payment APIs handling high-volume concurrent requests using Java, Spring Boot, and Spring Security
• Developing payment validation and fraud detection microservices with Kafka event streams
• Partnering with data science teams on AI-powered engineering assistants using Generative AI and Hugging Face

• Generative AI frameworks, prompt engineering, and RAG workflows
• LLM fine-tuning and deployment at scale
• Event-driven architectures and distributed systems patterns
• AI agent orchestration with LangChain, LangGraph, and smolagents

Dallas, Texas | Jan 2025 - Present

• Secure payment APIs (Java, Spring Boot, Spring Security) — ACH transfers, settlements, authorization workflows
• OAuth2/JWT authentication across multiple financial microservices
• PostgreSQL optimization — 35% improvement in reconciliation and transaction lookup performance
• Redis caching — reduced transaction latency from 350ms to under 120ms
• Docker + AWS EKS + Kubernetes autoscaling with Helm and Jenkins CI/CD
• AI-powered engineering assistant using Hugging Face — reduced troubleshooting time by 25%

India | Jan 2021 - Jul 2023

• Backend services for digital banking — Java, Spring Boot, Hibernate, REST APIs
• Reduced API latency from 5s to under 2s for high-volume banking operations
• Event-driven microservices with Apache Kafka for payment workflows
• React.js dashboards with TypeScript for real-time monitoring of payment processing and fraud alerts
• AWS deployments (EC2, S3, RDS) with Docker and Terraform
• Prometheus and Grafana monitoring, JUnit/Mockito testing
• Mentored junior engineers through code reviews and knowledge-sharing sessions

India | Jul 2019 - Dec 2020

• Backend services using Node.js and Express.js for supply chain platform — 5,000+ monthly transactions
• React.js frontend — reduced page load time by 20%
• MySQL optimization — improved query performance by 25%
• Agile workflows with Jira, Git-based releases

Northeastern University — MS in Software Engineering Systems (Sep 2023 - May 2025)

• Coursework: Generative AI, Data Engineering with LLM, Cloud Computing, Design Patterns, Algorithms, Data Science

NMAM Institute of Technology — BE in Computer Science (Aug 2016 - Jul 2020)

• Coursework: Machine Learning, Data Structures, DevOps, NLP, Big Data

Languages: Java, Python, JavaScript, TypeScript, Go, SQL, C++, Scala

Backend: Spring Boot, Spring Security, Hibernate, Node.js, Express.js, FastAPI, Flask, GraphQL, REST APIs

Frontend: React, Angular, Redux, Bootstrap, Tailwind CSS

Databases: PostgreSQL, MySQL, MongoDB, Redis, Kafka, Snowflake, Neo4j, Elasticsearch

Cloud & DevOps: AWS (EKS, EC2, S3, RDS, ECR, ECS), GCP, Docker, Kubernetes, Terraform, Jenkins, Helm, GitHub Actions, GitLab CI, Nginx

Observability: Prometheus, Grafana, ELK Stack, OpenTelemetry

AI/ML: Hugging Face, LangChain, LlamaIndex, LangGraph, RAG, PyTorch, TensorFlow, Scikit-Learn

Testing: JUnit, Mockito, OpenAPI/Swagger

• Neo4j Certified Professional & Graph Data Science Certification
• LangChain: Introduction to LangGraph, Deep Research with LangGraph, Agent Observability & Evaluations
• DeepLearning.AI: AI Agents in LangGraph, Knowledge Graphs for RAG, Building AI Voice Agents, Evaluating AI Agents, Building Code Agents with smolagents
• Accenture Celebrates Excellence (ACE) Award

• Email: rao.mani@northeastern.edu | manish.r@mycvscout.com
• LinkedIn: raomanish9538

When in doubt, I let the metrics argue.