Abhijeet S Pachpute

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.

Focus

• 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

What I’m working on

• 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)

Experience snapshot

• 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

Featured work

Pinned repositories highlight projects that emphasize:

• End-to-end system design
• Measurable performance or reliability improvements
• Practical use of AI in real workflows

Tech

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

Links

• Portfolio: https://abhijeetpachpute.com
• LinkedIn: https://www.linkedin.com/in/abhijeet-pachpute
• Email: abhijeetsp21@gmail.com