Software Engineer

Seetha Kalyani Kotha

Cumming, GA 678-***-**** ******************@*****.*** LinkedIn

SUMMARY

Software Engineer with 4+ years of experience designing and operating AI/ML-driven platforms and LLM evaluation pipelines within large-scale, distributed

backend systems. Strong expertise in Python, Java, and microservices architectures supporting model training, SFT, RLHF, and offline evaluation workflows.

Proven ability to translate research and experimental code into production-grade services with reliability and governance. Hands-on experience architecting

cloud-native solutions across AWS, Azure, and GCP. Skilled in containerization, CI/CD pipelines, and infrastructure automation to enable scalable AI workloads.

Deep understanding of data-intensive pipelines, secure execution environments, and real-time processing. Known for effective collaboration with applied scientists,

data engineers, and platform teams to deliver high-impact, business-aligned AI systems.

WORK EXPERIENCE

Infosys Limited Apr 2024 - Present

Software Engineer Remote

Led development of an AGI-scale Data Quality Measurement Service supporting LLM pretraining, SFT, RLHF, and offline evaluation, enabling automated

quality assessment of large datasets used in model training pipelines.

Designed secure, sandboxed code-execution environments with schema validation and runtime constraints, enabling safe execution of dynamic evaluation logic

while protecting platform stability and training data integrity.

Productionized LLM judge workflows by converting experimental Python scripts into cloud-hosted, production-grade services, accelerating adoption of

automated evaluation signals in model development cycles.

Built scalable LLM evaluation pipelines processing thousands of samples weekly using AWS Step Functions, ECS, API Gateway, and Docker, ensuring reliable

orchestration and consistent execution across distributed environments.

Performed systematic analysis of evaluation outputs to identify quality regressions, failure patterns, and edge cases impacting model performance, providing

actionable insights to guide training improvements.

Refactored monolithic Python workflows by externalizing configuration and removing hard-coded logic, improving maintainability, reducing onboarding time,

and enabling faster iteration across evaluation use cases.

Implemented end-to-end observability using CloudWatch logs, metrics, and alarms, enabling rapid debugging, root-cause analysis, and operational visibility for

large-scale AI evaluation workloads.

RSA Tech Group LLC Jun 2023 - Mar 2024

Software Engineer Dallas, TX

Built responsive web applications with React.js, JavaScript, and CSS3, integrating MongoDB-backed services to ensure efficient front-end to back-end data

flow and consistent user experience across platforms.

Architected and implemented scalable Java microservices using Spring Boot and REST APIs, enabling high-throughput communication across distributed

systems while improving service performance and long-term maintainability.

Established containerized deployments and CI/CD pipelines using Docker and Jenkins, reducing release cycles by 50% while improving environment consistency

and operational resilience across development stages.

Designed AWS-based data architectures leveraging RDS and DynamoDB to support structured and high-velocity workloads, achieving a 35% improvement in

query efficiency through optimized data modeling and access patterns.

Developed large-scale data processing pipelines using Apache Spark, applying Spark MLlib and Spark Streaming to support real-time analytics and machine

learning workloads within enterprise production systems.

Valcan IT Solutions Oct 2019 - Apr 2021

Jr Software Developer India

Delivered full-stack enterprise features using Spring and Hibernate, optimizing internal code flows to reduce feature delivery time by 20% while strengthening

application-level security controls.

Developed reusable UI components with ReactJS and Redux, enhancing application performance and user experience through improved state management and

component reusability.

Designed and integrated RESTful APIs with Angular-based interfaces using JSP and advanced JavaScript, improving response times by 30% through optimized

request handling and service orchestration.

Built end-to-end automation frameworks using Java Selenium WebDriver, eliminating approximately 80 manual testing hours per sprint and generating $32,600

in annual cost savings.

SKILLS

Core Languages: Python, Java, C++, JavaScript, C#

Web Development Frameworks: Spring Boot, Django/Flask, Angular, React.js, HTML5, CSS3

Cloud Platforms & Services: AWS (EC2, S3, Lambda, RDS, DynamoDB), Microsoft Azure (Azure App Services, Azure Functions, Azure Kubernetes

Service (AKS)), GCP (App Engine, Compute Engine, BigQuery)

DevOps & CI/CD: Docker, Kubernetes, Jenkins, Git, Terraform

Databases & Data Engineering: SQL (MySQL, PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra, DynamoDB), Redis, Apache Kafka, ETL

Processes (Apache Spark, Talend, AWS Glue)

Software Design & Architecture: Microservices, RESTful APIs, GraphQL, Message Queues (RabbitMQ, AWS SQS)

Testing & Quality Assurance: Unit Testing (JUnit, pytest), Test-Driven Development (TDD), Selenium, Jest/Mocha

Agile & Collaboration Tools: Agile/Scrum Methodologies, JIRA, Trello/Asana

Operating Systems & Development Environments: Linux/Unix, Windows, Virtualization (VMware, VirtualBox)

EDUCATION

University of North Texas May 2023

M.S., Computer Software Engineering Texas, USA

JNTUH College of Engineering Jun 2019

Bachelor of Technology Hyderabad, India

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