Senior Software Engineer with AI/ML & Full-Stack Expertise

RAKESH GOUD EDIGI

BOSTON, MA, USA 609-***-**** **********.****@*****.*** https://www.linkedin.com/in/rakeshgoud-edigi/ SUMMARY

• Senior Software Engineer with 6+ years in designing, developing, testing, and deploying full-stack applications, including 3+ years in AI/ML, LLM integration, RAG pipelines, vector databases, autonomous agents, and semantic search.

• Deep expertise with Java, Python, Spring Cloud, Hibernate, Kafka, Redis, SQL and NoSQL Databases, delivering high-throughput transactions, distributed processing, data integrity, fault tolerance, and compliant systems.

• Integrated Large Language Models with Java applications using OpenAI APIs, LangChain, Vector Databases, Embeddings, and Prompt Engineering to enable automation, personalization, conversational AI, and data-driven decisioning.

• Strong frontend expertise using Angular,React,JavaScript,HTML5, CSS3, and Responsive Frameworks to build secure, scalable, high-performance web applications with seamless backend integration and superior user experience.

• Extensive experience across DevSecOps, Cloud Platforms using AWS, Azure, GCP, Docker, Kubernetes, CI/CD Pipelines, Automation,Monitoring Security Practices to deliver scalable, highly available, production systems. TECHNICAL SKILLS

Back-End Technologies: Java, Python, C++, PHP, Go Lang, Spring Boot, Spring MVC, Web Services, REST API, Microservices, Hibernate ORM, Flutter, Fast API

Front-End Technologies: HTML5, CSS3, Bootstrap, Angular, JavaScript, Typescript, ES6, React JS, Redux, React AI IDEs & Tooling: Cursor, GitHub Copilot, Google Antigravity,Tabnine, Codeium, AI-native workflows, Vibe AI/ML & LLM: LLM Training & Distillation, HuggingFace Transformers, RAG, LoRA, Prompt Engineering, LangChain, OpenAI APIs, GPT-4, Autonomous Agents, Fine-tuning, Search Engine LLM Data & Model Ops: Data Preprocessing, Normalization, Tokenization, PyTorch, Scikit-learn, FastAPI, Evaluation Metrics (BLEU, ROUGE, MMLU), Knowledge Distillation, Quantization, Spark Architecture & Engineering: Reusable Internal Libraries, API Design Standards, Vendor & Architecture Evaluation, Cost-Aware Engineering, Stakeholder Collaboration, code review Orchestration & Scheduling: Apache Airflow, Control-M, Batch Processing, Event-Driven Pipelines J2EE Technologies: Servlets, JSP, JDBC, JMS, JWT, Maven, Multi-threading Methodology: Waterfall, Agile Kanban, Agile Scrum, test driven development, problem solving Observability & Monitoring: Prometheus, Grafana, Splunk, Dynatrace, Log Aggregation, Distributed Tracing Message Services: Apache Kafka, RabbitMQ, IBM MQ, RESTful, SOAP Databases: SQL, MongoDB (NoSQL), PostgreSQL, MySQL, Oracle, Firebase, Cassandra, Redis, MongoDB Testing Tools: JUnit, Mockito, React Testing Library, Jest, PowerMock, Cucumber (BDD) Cloud & Deployment: AWS, Azure, GCP, Docker, Kubernetes, ArgoCD,Cloud Foundry, Jenkins, Spinnaker, CI/CD Other Tools / Collaboration: Agile, Jira, SVN, Vercel, Ant, Git, GitHub, Bitbucket, Postman, GraphQL, fintech CERTIFICATIONS

• AWS Certified Machine Learning Engineer

• HackerRank Certified Java (Advanced)

WORK EXPERIENCE

Senior Software Engineer Capital One, BOSTON, MA, USA Jan 2025 – Present

• Led end-to-end design and development of a distributed credit risk and trade lifecycle analytics platform supporting 500+ internal analysts, processing 50K+ real-time trade events daily via Kafka and maintaining over 2M trade records for analytics, audit, and regulatory reporting.

• Took ownership of production support and release readiness for critical microservices, ensuring high availability, audit compliance, and operational stability for 500+ analysts.

• Designed and developed secure Java Spring Boot microservices leveraging Spring Data JPA, Redis, Oracle, and MySQL; integrated Kafka and REST APIs to enable reliable persistence and low-latency event processing.

• Modernized legacy analyst dashboards using React, TypeScript, and Node.js, improving page load performance by 40% and enhancing accessibility and cross-platform usability.

• Integrated enterprise LLM capabilities using AWS Bedrock and later migrated to SageMaker-hosted endpoints to improve inference control, cost efficiency, and scalable production deployment.

• Designed and implemented an AI-driven semantic search solution using a RAG-based architecture with embeddings and vector similarity retrieval, improving document discovery accuracy by 12% across 150,000+ monthly documents.

• Implemented DevSecOps best practices by integrating SAST/DAST security checks, automated testing, and container validation into GitHub CI/CD Actions pipelines across 50+ microservices, reducing release cycles from 2 weeks to under 8 hours.

• Increased automated test coverage from 60% to 85% by developing comprehensive JUnit and Mockito test suites.

• Implemented AWS-native observability using Amazon CloudWatch and distributed tracing to monitor service latency, error rates, and Kafka consumer lag, reducing MTTD by 40% and MTTR by 35%.

• Mentored 6+ junior engineers through code reviews and design discussions, improving pull request turnaround time and reinforcing engineering standards.

• Collaborated in Agile sprint planning and backlog refinement, contributing to improved sprint predictability and timely delivery of high-impact features.

Software Engineer Temenos India Pvt Ltd, India Sep 2021 – Dec 2023

• Led migration of a monolithic core banking platform to cloud-native Java and Spring Boot microservices, improving scalability by 35% and reducing API latency by 20%.

• Developed high-throughput REST APIs and Kafka-based event-driven workflows supporting 20+ global banking institutions and millions of daily financial transactions.

• Processed 100K+ financial events per processing window using asynchronous messaging, improving system responsiveness and throughput.

• Optimized data access using Redis caching and refined JPA/Hibernate strategies, increasing throughput by 15% and reducing p95 response times by 50%.

• Collaborated in provisioning PCI-DSS-compliant infrastructure on AWS and Azure, supporting 2M+ daily transactions with enterprise-grade security controls.

• Implemented Prometheus and Grafana observability dashboards, reducing MTTR by 45%.

• Strengthened DevSecOps practices by integrating OAuth2 security, SAST/DAST scanning, Docker, Kubernetes, and Terraform to enable secure, zero-downtime releases.

• Integrated SonarQube into CI/CD pipelines to enforce static code quality standards.

• Built automated test suites using JUnit, Mockito, and Selenium to improve production reliability. Java Full Stack Developer Cognizant, India Aug 2019 – Aug 2021

• Contributed to the design and development of an enterprise digital banking platform supporting 3M+ daily customer transactions across accounts, payments, loans, and onboarding workflows, improving transaction reliability and reducing operational latency across multi-region systems.

• Architected and implemented high-throughput Java and Spring Boot REST APIs handling 120K+ daily transactions with sub-second response times.

• Designed responsive React-based dashboards used across 500+ bank branches, improving operational visibility and supporting 50,000+ daily staff interactions.

• Implemented asynchronous messaging with RabbitMQ to enable fault-tolerant microservice communication, processing over 1.2M daily workflow events including payment notifications and fraud alerts.

• Secured API routing and microservice communication using Spring Cloud Gateway and OAuth2, ensuring PCI-DSS compliance and protecting 1,500+ concurrent secure banking sessions.

• Optimized relational and NoSQL data layers using PostgreSQL and MongoDB, improving query performance across 20+ banking products.

• Managed Kubernetes-based deployments and Jenkins CI/CD automation, achieving 99.5% production availability and enabling near-real-time transaction analytics.

• Took ownership of critical backend services from development through production support, resolving performance issues and ensuring system stability during high-volume transaction periods. EDUCATION

Master of Science in Information Technology - Clark University, Worcester, MA, USA Bachelor of Technology in Electronics and Communication Engineering - MGIT, Hyderabad, Telangana, India

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