Master of Science in Computer Science
California State University, East Bay
Hayward, CA2023 - 2025GPA: 3.9/4.0
Software EngineerAI-focused full-stack developer
I build practical AI and full-stack software for real product workflows.
Sai Lokesh Reddy · Software Engineer AI
Experienced Software Engineer with expertise in AI based full-stack development, cloud technologies, and AI integration. Proven track record of building scalable applications and leading technical initiatives across diverse industries.
AI/RAGFull-stackCloudData pipelines
40K+
docs indexed for RAG
60%
faster knowledge lookup
90%+
answer accuracy benchmarks
About
Profile
A practical overview of what I work with and where I studied.
What I focus on
Building AI-assisted applications with RAG, LLM workflows, and reliable backend services.
Developing React and full-stack products with clear user flows, maintainable APIs, and production-ready patterns.
Working across cloud, data pipelines, databases, and tools needed to ship stable software.
Technical skills
Frontend
ReactTypeScriptJavaScriptHTML5/CSS3Tailwind CSSNext.jsVue.js
Backend
Node.jsPythonJavaFastAPIExpress.jsSpring BootGraphQL
Databases
PostgreSQLPineconeMongoDBMySQLRedisDynamoDB
Cloud
AWSDockerKubernetesCI/CDServerless
Tools
GitVS CodePostmanFigmaJira
Education
Bachelor of Technology in Computer Science
CMR Institute of Technology
Hyderabad, India2018 - 2022GPA: 8.8/10
Experience
Work history
Roles, responsibilities, and measurable outcomes from recent software engineering work.
Software Engineer AI
Agadia Systems
Jan 2026 - PresentNew Jersey, NJ
Full-time40,000+ impact
Leading AI integration to improve enterprise level software development lifecycle using RAG Chatbots and AI Agents.
Led the end-to-end architecture and delivery of an enterprise RAG-based AI chatbot (Angular, FastAPI, Azure) over 40,000+ technical documents, reducing engineering knowledge lookup time by 60% through advanced LLM-powered semantic search.
Architected scalable LLM workflows using PostgreSQL + pgvector for vector similarity search with hybrid retrieval and strict metadata filtering (document/version/section-level constraints), improving retrieval precision by 35% and ensuring 100% citation-backed responses.
Designed a high-performance ingestion and embedding pipeline for 100–400 page technical manuals (including code blocks and architecture diagrams), reducing hallucinations by 50% and achieving 90%+ answer accuracy on internal benchmarks.
RAGAgentic AIAzure AIFastAPIAngularVector DBML Pipelines
Founding AI Engineer
Subscrbe AI
Aug 2025 - Jan 2026San Francisco, CA
Full-time50% impact
Leading AI integration and full-stack development of an application build using flutter for IOS and Android.
Spearheaded core architectural decisions and developed mission-critical features from inception, shaping product direction and technical standards as a founding engineer, enabling the platform to scale efficiently to thousands of daily active users in a high-growth startup environment
Led the migration from deprecated Firebase Dynamic Links to native Universal Links (iOS) and App Links (Android) using a custom domain, improving deep link reliability by up to 50%, reducing link failures, and enhancing cross-platform user engagement and retention.
Led intergration of AI features across the application, including RAG and agentic AI architectural decisions that enhanced the system reliability by 60%
Agentic AIAzure AIFlutterFirestoreIOS DevelopmentML Pipelines
Software Engineer
WashMetrix
May 2024 - Jul 2025San Francisco, CA
Full-time25% impact
Leading full-stack development of analytics platforms and scalable backend services for IoT-enabled laundry management systems. Delivered significant improvements in user engagement (25% boost), development efficiency (15% faster timelines), and system reliability (90% test coverage, 20% reduction in production bugs) through modern React dashboards, microservices architecture, and automated ETL pipelines.
Developed and optimized a React-based analytics platform with dynamic dashboards & real-time data visualization, boosting user engagement by 25%
Engineered scalable backend services using Python & Node.js and integrated them with React frontends, implementing reusable components and microservices that accelerated development timelines by 15%
Implemented comprehensive testing (Jest, Pytest) achieving 90% coverage, enhancing system reliability and reducing production bug reports by 20%
ReactNode.jsPythonPostgreSQLJestPytestSQLETL+2
Software Engineer 1
Zemoso Technologies
Nov 2021 - Aug 2023Hyderabad, India
Full-time30% impact
Engineered scalable full-stack applications and cloud infrastructure solutions, focusing on performance optimization and team development.
Engineered scalable React components and optimized GraphQL schemas with RESTful APIs, achieving a 30% reduction in response time and boosting performance
Mentored 3 junior developers on React & backend best practices and conducted rigorous peer code reviews, resulting in a 15% increase in code quality metrics and faster onboarding
Integrated Amazon S3 and QuickBooks APIs into a modular event-driven architecture, enabling seamless data flow that enhanced product functionality and increased user satisfaction by 20%
ReactGraphQLRESTful APIsAmazon S3QuickBooks APIDockerKubernetesAWS EC2+3
Projects
Selected work
Projects that show how I think about AI products, developer tooling, and full-stack implementation.
AI student support
React · Gemini AI · Tailwind CSS
CSUEB Student Support Chatbot
Being ImprovedAI-powered chatbot designed to help California State University, East Bay students with university-related queries and academic support.
CSUEB-specific query handling for students
Voice input for hands-free interaction
Chat sharing and copy functionality
ReactGemini AITailwind CSSFastAPIPostgreSQL
AI resume tooling
Vector DB · RAG · OpenAI / LLMs
LaTeX Résumé Tailor
Personal ProjectUpload your LaTeX .tex résumé and get a tailored, keyword-optimized version with a live PDF preview in under 2 minutes.
LaTeX-first workflow: work directly with .tex source
Model selection palette to control length, tone and style
Live code + PDF preview side-by-side for instant feedback
Vector DBRAGOpenAI / LLMsReactNode.jsLaTeXPDF.jsDocker
Contact
Get in touch
I’m open to software engineering and AI-focused product work.
Emailsailokeshreddy@gmail.comPhone+1 (510) 255-0650LinkedInlinkedin.com/in/sailokeshgGitHubgithub.com/sailokeshg
LocationNew Jersey, NJ