Professional Portfolio
AI Engineer building production-grade LLM systems, RAG pipelines, and agentic workflows with a reliability-first mindset. Delivered software across enterprise environments including DBS Bank and Mercedes-Benz R&D, and later moved into automation and quality engineering at IBM. Master of Artificial Intelligence @ UTS (Sydney, 2026).
Work Experience
Software Engineer
City Quokka- Developing full-stack CRM features using Next.js, TypeScript, and Supabase, owning delivery from database schema design to deployment.
- Implementing end-to-end testing with Playwright to improve reliability across critical CRM workflows.
- Containerizing the development environment with Docker to standardize local setup and reduce environment drift across the engineering team.
- Contributing to the company's main CMS website alongside CRM delivery, supporting multiple product surfaces in a lean engineering team.
Tutor (AI Education)
AI Camp- Delivering hands-on AI/ML workshops covering neural networks, NLP, and Python projects, adapting technical depth to individual student skill levels.
- Running live coding and debugging sessions to build students' independent problem-solving confidence.
- Tracking individual student progress and delivering structured feedback to parents and guardians to support learning outcomes.
SWE Intern
eden.pm- Built and deployed full-stack features using Next.js and Express.js, leveraging AWS Lambda for serverless delivery.
- Improved backend reliability by debugging serverless functions and integrating DynamoDB for durable data storage.
- Contributed to feature design decisions in a fast-paced agile environment, balancing delivery speed with maintainable architecture.
- Maintained deployment stability on Vercel through testing and CI/CD practices.
- Designed and implemented test strategies that improved release readiness for critical product launches.
- Led automation delivery by building comprehensive test suites using Playwright (TypeScript) and Cucumber (Gherkin).
- Applied in-house Gen AI applications to streamline test-case generation and improve coverage quality.
- Streamlined CI/CD pipelines via GitHub Actions, automating quality checks to reduce manual validation effort.
- Engineered high-availability RESTful APIs using Java 8 and Spring Boot for mission-critical DBS banking transactions.
- Identified and resolved performance bottlenecks through systematic load testing with JMeter, improving response behavior under peak traffic on AWS.
- Raised code quality through comprehensive unit testing and cross-functional reviews with QA teams.
- Owned end-to-end deployment pipelines across distributed server environments, supporting zero-downtime releases for production banking services.
Projects
Building, breaking, and learning
PPP Candidate Briefing Agent – AI Recruitment Assistant
2026-03
An AI-powered recruitment agent that automates candidate research. Uses Claude Sonnet 4.6 and Tavily web search to transform a CSV of names into structured, recruiter-grade JSON briefings.
- •Two-Stage Architecture: Evidence gathering separate from synthesis
- •Multi-Provider Support: Anthropic Claude and Ollama Cloud
MCP Prompt Library – AI Development Toolkit
2026-01
115+ curated prompts, workflows, and coding standards for AI-assisted development. Available as an npm package, CLI tool, and MCP server with 15 tools for seamless integration with Claude, OpenCode, and Cursor.
- •npm Package: npm install @esreekarreddy/ai-prompts for programmatic access
- •CLI Tool: 'ai-lib' terminal command for searching and composing prompts
GhostLine – Zero-Knowledge Video Calling
2025-12
Privacy-first, peer-to-peer video calling application. No servers, no accounts, just secure ephemeral connections with visual verification.
- •Zero-Server Architecture: No DB, no accounts, no trace
- •WebRTC P2P: Encrypted HD video & audio
SR Terminal – Browser-Based AI Development Environment
2025-12
A complete operating system in the browser with an integrated AI coding assistant. Runs Node.js via WebContainers and AI inference via WebLLM—no backend required.
- •On-Device AI: Phi-3 3.8B runs 100% in browser via WebGPU
- •WebContainer Runtime: Full Node.js 18 without backend
Cortex – Multi-Agent AI Code Review Council
2025-12
Six specialized AI agents analyze your code from different perspectives—architecture, security, performance—producing ranked, actionable findings with patch snippets.
- •6-Agent Council: Specialized perspectives from 120B-671B models
- •Severity Ranking: P0 (Critical) to P3 (Minor) classification
SR Mesh – Local-First 3D Knowledge Graph
2025-12
Transform your notes into an interactive 3D galaxy. Client-side AI generates semantic embeddings, intelligent text classification labels your thoughts, and related notes cluster together in a navigable star map—all 100% in your browser.
- •100% Browser-Based: No API keys, no server, no data leaves device
- •Intelligent Classification: 9 categories with rule-based pattern matching
sreekarreddy.com – Enterprise-Grade Platform
2025-01
A production-grade platform engineered for extreme reliability. Features a strictly enforced CI/CD pipeline, comprehensive automated testing, and advanced security protections.
- •Automated CI/CD: Zero-broken-builds guarantee
- •Comprehensive Testing: Full unit & integration coverage
Certifications
60+ credentials across cloud, AI, and enterprise technologies
Skills & Expertise
Technical Skills
Languages
Frontend
Backend
Cloud & DevOps
Databases
Testing & QA
AI & ML
Data & Analytics
Tools & Platforms
Professional Skills
Leadership
Business Analysis
Communication
Honors & Awards
Recognition for technical excellence and continuous professional development.
Education
Academic journey
University of Technology Sydney
Master of Artificial Intelligence
Artificial Intelligence
Jain (Deemed-to-be University)
Bachelor of Technology
Computer Science Engineering in Internet of Things
Narayana Junior College
Intermediate
Mathematics
The Gelivi's Venkateswara Vidyalaya
Secondary Education
Recommendations
What colleagues, mentors, and peers say about working with me
Lisa Aitken
Executive Manager, Community Engagement and Impact
UTS Centre for Social Justice and Inclusion
While a student at UTS, Sreekar Reddy achieved their SOUL Award in 2025. Sreekar Reddy proved to be a dedicated community and student leader, contributing 133.5 hours of social impact action with organisations such as Study NSW, Communiteer, Respect Now Always, The Big Lift, and more. The UTS SOUL Award is a two-staged co-curricular program in which students take positive social impact action, develop their skills, collaborate across faculties, and increase the capacity and impact of the community sector. The program requires students to complete workshops and at least 90 hours of social impact action to achieve the Award. Students also engage in critical reflection about their experiences and personal growth throughout the program. Sreekar Reddy showed great commitment to their development, participating in activities to improve skills in critical self-reflection, social justice leadership and social responsibility as part of the Award program. They demonstrated strong initiative, sourcing opportunities that are aligned with their personal values and goals. Sreekar Reddy showed great dedication in achieving this Award alongside their studies and other commitments.
Justin Lei
Software Engineer
Internship
I was working with Sreekar during our software engineer internship, where we are working on a website using Next.js on the frontend and AWS Lambda with DynamoDB on the backend. Sreekar is super easy to work with as he's always open to new ideas, quick to jump in when there's a tricky bug, and great at breaking down problems so the team can move forward. I really appreciated how he balanced solid technical skills with a collaborative mindset, whether we were pairing on code or brainstorming solutions. Overall, he's a reliable teammate who brings both skill and positivity to the table, while keeping the vibe fun and productive.
Haley Nguyen
Software Engineering (Honours) Student
University of Technology Sydney
I worked alongside Sreekar during our internship while building a full-stack website. He brought strong technical skills and a steady commitment to the project, consistently meeting deadlines and delivering reliable work. Sreekar is approachable and communicative, making collaboration smooth and efficient. He's quick to offer help when teammates face challenges and contributes practical solutions that help move the project forward. His positive attitude and teamwork made a noticeable difference in our group dynamic. I believe Sreekar has the skills and mindset to be an effective software engineer in any team environment.
Let's Work Together
Looking for a software engineer who can build, test, and explain systems? I'm currently open to graduate and junior roles.