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Viswanath J - software engineer

[email protected]

Location: San Jose, California, USA

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PROFESSIONAL SUMMARY Software Engineer with 5+ years of experience architecting and delivering large-scale, cloud-native, distributed systems and production-grade AI/ML platforms across enterprise and consumer environments. Proven expertise in designing high-throughput APIs, scalable microservices, and bulk data ingestion pipelines processing millions of records with 99.9%+ uptime. Deep hands-on experience in Generative AI, RAG architectures, LLM orchestration, NLP, machine learning, problem-solving, and full-stack web development across modern backend frameworks, cloud infrastructure (AWS, Azure, GCP), and frontend platforms. Strong foundation in Data Structures, Algorithms, system design, and MLOps, with demonstrated ability to optimize system latency, improve infrastructure efficiency, and drive architectural decisions in Agile teams. Experienced in effective communication, cross-functional teams, mentoring junior engineers, and delivering high-impact, scalable products from architecture through production support. TECHNICAL SKILLS Programming: Python, Java, JavaScript, TypeScript, SQL, C#, C/C++, R, Go, Ruby Frontend: React.js, Angular, Redux.js, NgRx, HTML5, CSS3, Tailwind CSS, Responsive Design, ES6 Backend & APIs: Spring Boot, Spring MVC, ASP.NET Core Web API, Django, Flask, Node.js, Express.js, FastAPI, REST APIs, Web APIs, GraphQL, gRPC, WebSockets, JSON, XML, Microservices, OAuth2, Next.js AI / ML / LLM: LangChain, TensorFlow, PyTorch, Hugging Face Transformers, RAG, FAISS, Pinecone, Weaviate, Prompt Engineering, LLM Fine-tuning (LoRA/PEFT), NLP, MLOps & Cloud: AWS (SageMaker, Bedrock, Lambda, EKS, S3, DynamoDB, CodePipeline), Azure, Google Cloud Platform (GCP), Docker, Kubernetes, Helm, Terraform, Containerization, Container Orchestration CloudFormation, Jenkins, GitHub Actions, GitLab CI/CD Data & Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, Spark, Kafka, Delta Lake, BigQuery, Feast, SQLAlchemy, Elasticsearch, jQuery Observability: Prometheus, Grafana, Evidently AI, AWS CloudWatch, MLflow, Drift Detection, Alerting Frameworks Security: OAuth2, SAML, mTLS, IAM, Vault, SBOM, Container Scanning, Responsible AI, Guardrails Testing: JUnit, NUnit, xUnit, Mockito, pytest, Jest, Selenium, Postman, Unit Testing, Integration Testing, TDD Collaboration: Agile/Scrum, JIRA, Confluence, Git, GitHub, GitLab, Code Reviews, Technical Documentation, SDLC Software Engineering: Design Patterns (Factory, Singleton, Strategy, Observer, Repository), SOLID Principles, OOP, Clean Architecture PROFESSIONAL EXPERIENCE Netflix May 2025 - Present Software Engineer Los Angeles, CA, USA Developed and deployed a scalable, cloud-native customer support chatbot using AWS Lambda, API Gateway, and S3, reducing inquiry resolution time by 30% through intelligent automation. Designed and optimized document ingestion and data extraction pipelines using AWS Textract, PySpark, and Pinecone vector databases to process and index over 10M documents, improving answer accuracy by 23% and reducing irrelevant responses by 40%. Built a real-time sentiment analysis module leveraging Python and Hugging Face Transformers to classify customer queries by emotional tone, enabling proactive escalation of distressed user issues. Implemented WebSocket-based real-time communication features for live customer interactions and notification services, improving responsiveness and user engagement. Developed responsive, dynamic front-end interfaces using React.js and TypeScript, integrating with REST and GraphQL APIs to deliver real-time data visualization and improved user experience. Architected and delivered enterprise-grade, cloud-native web applications serving thousands of concurrent users, maintaining 99.9%+ uptime through fault-tolerant design and robust AWS cloud infrastructure. Built a production-grade Generative AI Q&A system leveraging Retrieval-Augmented Generation(RAG) architecture, FAISS vector search, and open-source LLMs with NLP-driven inference, improving factual accuracy by 85% and reducing hallucinations by 70%. Designed and deployed high-throughput REST and GraphQL APIs handling millions of concurrent requests with schema validation, idempotency, rate-limiting, and backward compatibility. Designed and deployed multi-agent LLM workflows for complex task orchestration and tool integration. Optimized inference pipelines for latency, throughput, and cost efficiency using batching, caching, and async execution Led architecture and delivery of scalable AI services powering production workloads Automated CI/CD pipelines using AWS CodePipeline, CodeBuild, and Spinnaker, implementing canary deployments and auto-rollbacks, reducing production issues by 35% and ensuring zero-downtime for 10M+ daily users. Implemented secure authentication and authorization (JWT, OAuth2, RBAC, SSO) for multi-tenant systems handling sensitive user data, following zero-trust security principles. Designed and deployed AI-driven predictive analytics models using Python, TensorFlow, and PyTorch to improve decision-making and automate complex workflows. Developed real-time communication features using WebSockets, enabling instant notifications and live data synchronization across web applications. Collaborated with cross-functional Machine Learning and Data Engineering teams in an Agile Scrum environment, delivering production-ready features that increased sprint velocity by 20%. Monitored, debugged, and maintained production services using observability tools and logging frameworks, ensuring low latency and high availability across distributed cloud systems. Led team development initiatives, mentoring engineers and contributing to architectural decision-making, improving overall engineering productivity and delivery quality Infosys Feb 2022 - Dec 2023 Full Stack Developer Hyderabad, India Designed and developed enterprise ETL pipelines for high-volume financial data using Java, SQL, Spring Boot, and batch frameworks, ingesting and transforming millions of records daily, and meeting all SLA requirements Built highly scalable backend web services in Java, Spring Boot, Node.js, and Python, supporting millions of transactions per day across enterprise financial workflows with strict latency and data consistency guarantees. Engineered an AI SQL chatbot using LangChain, Hugging Face, and NLP techniques, reducing manual query effort by approximately 40% and improving enterprise data access efficiency Built containerized developer environments using Docker and automated CI/CD pipelines to improve development consistency and accelerate feature releases. Developed web applications with Spring MVC that integrated RESTful and GraphQL APIs and used secure OAuth2 authentication, resulting in faster user access and fewer authentication errors Designed and developed RESTful APIs using Django and Django Rest Framework, implementing serializers, viewsets, middleware, and JWT-based authentication for secure, scalable backend services Built high-performance microservices with Spring Boot and gRPC using Protocol Buffers for inter-service communication, reducing payment processing latency by 40% and supporting over 5,000 TPS during peak traffic. Optimized PostgreSQL, MySQL, and NoSQL (MongoDB) databases through indexing strategies, query refactoring, and schema redesign, improving query performance by 30%+ and reducing DB load on production systems. Containerized backend services with Docker and deployed on AWS EC2 and Lambda with full CI/CD automation via Jenkins, improving release velocity and reducing deployment failures. Fine-tuned open-source LLMs using Hugging Face Transformers with LoRA/PEFT techniques and evaluated performance with BLEU, ROUGE, and hallucination benchmarks, achieving higher scores than the baseline model Developed and maintained full-stack C#/.NET Web API and Node.js applications using MVC architecture, JSON/XML data exchange, Repository and Factory Design Patterns, increasing code reuse and lowering defect rates. Designed dynamic frontend interfaces using React.js with Redux alongside HTML5/CSS3, creating reusable component libraries that accelerated UI development by 30% and improved Core Web Vitals scores by 15%. Applied Agile/Scrum practices with a strong focus on fintech problem-solving, decision-making, and effective communication, enabling faster delivery and improved team collaboration. Designed distributed transaction workflows using Saga orchestration to maintain consistency across microservices. Developed comprehensive unit test suites using JUnit, NUnit, Mockito, and xUnit, achieving high code coverage and improving application reliability. Built MLOps pipelines using MLflow and Docker, enabling automated model versioning, experiment tracking, and scalable deployment across cloud environments. Deloitte(intern/full time) Nov 2020 - Feb 2022 Systems Engineer Hyderabad, India Developed and maintained scalable web applications and mobile-responsive UIs using Angular, Next.js, JavaScript, HTML5, CSS3, and TypeScript, supporting growing user bases across multiple product lines. Integrated Azure AI Document Intelligence to automate forms processing using OCR and custom NLP models, achieving 91% accuracy and reducing manual data entry costs by 45%. Delivered full-stack e-commerce applications with Angular 12, Node.js, and MongoDB, implementing responsive product catalog and checkout flows that improved conversion rates by 22% and reduced cart abandonment by 15%. Built interactive, data-driven dashboards and visualizations supporting real-time user interactions, improving data accessibility and engagement for end users. Built scalable REST APIs using Django and Django REST Framework with PostgreSQL. Developed secure, scalable REST APIs supporting thousands of concurrent requests, implementing API versioning, validation, and rate-limiting to maintain backward compatibility. Designed user-friendly UI/UX workflows with Figma and Angular Material, incorporating A/B-tested components that increased user engagement by 30% and cut support tickets by 40%. Implemented CI/CD pipelines with Jenkins, Azure DevOps, and GitHub Actions, following Git Flow branching strategy and executing Blue-Green deployments to achieve zero-downtime releases. Built and maintained integrations with third-party platforms and services using REST and GraphQL APIs, improving system interoperability and external data exchange. Developed computer vision models using CNN architectures for document analysis and image classification tasks, improving automation accuracy and processing speed. Followed Agile practices, CI/CD workflows, and Git-based version control to deliver reliable, well-tested releases across the full SDLC. Designed and implemented responsive, accessible user interfaces using React.js, following modern UX principles and improving usability across desktop and mobile devices Designed reusable application components following SOLID principles and Design Patterns, improving maintainability and reducing technical debt across multiple projects. Contributed to product feature development and ownership, collaborating with stakeholders and demonstrating strong communication skills in delivering user-focused solutions. EDUCATION Fitchburg State University GPA: 3.97 2024 - 2025 Master's, Computer Science CERTIFICATIONS AWS Certified - Machine Learning Engineer (Associate) Java, Angular, React, Professional Certification - Infosys (internal) Fundamentals of Cloud Computing Certificate - edX Keywords: cprogramm cplusplus csharp continuous integration continuous deployment artificial intelligence machine learning user interface user experience javascript sthree database rlang golang California