M.Sc. Computer Science
38 credit points completed. Coursework: Algorithms for Massive Data, Data Mining, Image Processing, Brain-Inspired Computing Architectures, Advanced Topics in Algorithms, Research Seminar in Algorithms and Theory.
About me
Software engineer with 5+ years building enterprise product features at BMC Software (Control-M). My work splits between Angular frontend and production LLM agents in Python (Google ADK, LiteLLM, AWS Bedrock with Claude), where I make agents more accurate, faster, and cheaper through prompt engineering, multi-agent orchestration, and evaluation pipelines. I also fix bugs and ship new functionality in Java services. Pursuing an M.Sc. in Computer Science (ML focus).
Gadot, Israel (open to hybrid)
Experience
Software Engineer (Product Developer)
- Develop and maintain Angular 20+ product features (standalone components, Signals, RxJS, Nx monorepo) with Jest unit tests and Playwright e2e coverage.
- Build and continuously improve production LLM agents for enterprise customers in Python with Google ADK and LiteLLM on AWS Bedrock (Claude); own prompt design, tool and skill definitions, and streaming responses.
- Improved agent accuracy, latency, and token cost by refining prompts and splitting work across sub-agents with isolated context.
- Built an LLM evaluation pipeline (LLM-as-judge scoring, RAG-based retrieval) to measure answer quality and catch regressions before release.
- Fix bugs and deliver new functionality in Java backend services.
- Containerized services with Docker and maintain CI/CD pipelines in Jenkins and GitHub Actions.
- Own features end to end with product and UX across global sites; write technical design docs, mentor and onboard new developers, and serve as a core code reviewer.
Software Developer Intern
- Built backend services in C# / .NET for hardware controllers using National Instruments (NI) SDKs.
- Extended the internal backend API layer used across product lines.
Skills
Languages
- TypeScript / JavaScript
- Python
- Java
- SQL
AI / LLM
- Agentic AI (Google ADK, LiteLLM)
- Claude via AWS Bedrock
- Prompt engineering
- Tool calling & agent skills
- Multi-agent orchestration
- RAG
- LLM evaluation (LLM-as-judge)
- Streaming responses
- Token/cost optimization
Frontend
- Angular 20+ (standalone, Signals)
- RxJS
- Nx monorepo
- SCSS
- Bootstrap
- Jest
- Playwright
DevOps / Tools
- Linux
- Docker & docker-compose
- Jenkins
- GitHub Actions
- Git
- GitHub
- Bitbucket
Practices
- Agile/Scrum
- Code review
- Mentoring & onboarding
- Feature ownership
- Technical design docs
- Cross-site collaboration
- AI-assisted development (Claude Code, Cursor)
Education
B.Sc. Computer Science, GPA 87
Relevant coursework: Machine Learning & Pattern Recognition, Computer Vision, Computational Intelligence, Compilers, Signal Processing.
Languages
- Hebrew (native)
- English (fluent)