Software Engineer with strong fundamentals in backend systems, data structures, and system design, with hands-on experience building reliable, production-grade software and applied AI systems.
MS in Computer Science @ University of Utah (May 2026).
I’ve worked across software engineering, applied AI, and security — building backend and full stack systems with a focus on clean architecture, performance, and measurable impact. I use modern AI tools to enhance real systems, not to ship demos.
- Backend and distributed systems
- System design, scalability, and performance engineering
- Applied AI and ML systems (agent-based workflows, RAG, inference pipelines, evaluation)
- Writing clean, reliable, well-documented code
- End-to-end projects with production-style engineering: testing, CI, observability, and documentation
- Deepening fundamentals in system design, concurrency, databases, and performance tuning
- Open to Software Engineering and related roles 2026 new grad roles (US)
- Software Engineering internships building backend services and production features
- AI engineering experience shipping GenAI tools used by real stakeholders
- Strong grounding in algorithms, operating systems, databases, and security
Pinned repositories highlight projects that emphasize:
- End-to-end system design
- Measurable performance or reliability improvements
- Practical use of AI in real workflows
Languages: Python, Java, C/C++, JavaScript/TypeScript, SQL
Backend: REST APIs, authentication, databases, caching, concurrency, testing
Web: React.js, Node.js, Next.js, HTML/CSS, Tailwind
Infra: Docker, AWS, Linux, CI/CD
ML: PyTorch, CNNs, embeddings, retrieval, evaluation pipelines
- Portfolio: https://abhijeetpachpute.com
- LinkedIn: https://www.linkedin.com/in/abhijeet-pachpute
- Email: [email protected]