Anjitesh Shandilya

Backend-focused full-stack engineer with strong experience in Java, Python, distributed systems, cloud-native backends, and automation-driven platforms. Hands-on in designing reliable APIs, async workflows, data pipelines, and ML-enabled services used in government-scale and enterprise environments. Comfortable across frontend, backend, databases, cloud, and DevOps with a strong emphasis on reliability, observability, and clean system design.

Software Engineering Intern (AASE) at Accenture (2026-04 – Present)

• Built hands-on projects involving cloud-native microservices, Generative AI workflows, and scalable backend systems.
• Worked with Databricks, distributed architectures, and modern software engineering practices for enterprise applications.
• Strengthened expertise in API development, debugging, collaboration tools, and AI-driven solution engineering.

Software Engineering Intern at Ministry of New and Renewable Energy (MNRE), Government of India (2025-07 – 2025-09)

• Designed backend data pipelines integrating REST APIs, GIS layers, SQL databases, and analytics engines.
• Built workflow-driven systems with retries, validation, structured logging, and health checks to ensure reliability at scale.
• Integrated ML inference and forecasting pipelines into production systems for solar inspection and workforce analytics.
• Delivered multiple production applications used by policy and analytics teams.

Automation & Platform Intern at IBM — SkillsBuild Agentic AI Program (2025-07 – 2025-08)

• Built Python-based automation pipelines with deterministic execution, monitored retries, and environment validation.
• Worked on agentic AI architectures using RAG, MCP servers, n8n orchestration, and AI workflow automation.
• Improved observability via structured logs, health probes, and debugging utilities.

Backend & QA Engineering Intern at NexusLogic Technologies (2024-07 – 2024-09)

• Developed and tested backend APIs; debugged latency and request-handling issues.
• Contributed to CI pipelines, automated testing, and release stability.
• Assisted with frontend components and cross-team debugging.

B.Tech. in Information Technology – University School of Information & Communication Technology (USICT), GGSIPU (2022 – 2026)