Dedeepya Vesangi profile photo

Dedeepya Vesangi

Software Engineer (Recent Graduate / Job Seeker)

Full-stack developmentGenerative AI (RAG/LLMs)SaaS/PaaS architectureCloud Infrastructure (OCI/AWS)API ValidationDistributed Systems
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About

I'm Dedeepya Vesangi, a Software Engineer and current MS candidate at San José State University. My journey has taken me from building enterprise marketing platforms at Kimberly-Clark to developing SaaS+ applications and cloud integrations at Oracle. I'm a builder at heart who loves the end-to-end process—there's something incredibly satisfying about designing a clean API and wiring it up to a polished UI. Currently, I'm diving deep into Generative AI, specifically RAG pipelines and agentic workflows, while looking for my next full-time role in software engineering. I'm passionate about building software that actually works, looks good, and scales. Whether it's discussing distributed systems or nerding out over the latest in LLMs, I'm always eager to connect with fellow builders in the Bay Area tech scene.

Networking

What I can offer

  • ›Enterprise software experience from Oracle
  • ›Full-stack development skills (React, Node, Python, SQL)
  • ›Hands-on experience with GenAI tools and RAG implementation

Looking for

  • ›Full-stack, backend, or software engineering roles
  • ›Connections with developers, researchers, and mentors in the Bay Area

Best fit for

Software EngineersTech RecruitersAI ResearchersSilicon Valley Founders

Current Interests

Generative AI and RAG pipelinesAWS observability and securityMultimodal modelsAgentic workflows

Background

Career

Started as a Software Engineer Intern at Kimberly-Clark, followed by two years as a Software Engineer at Oracle, and is currently pursuing a Master's at San José State University.

Education

MS in Computer Software Engineering from San José State University (2024–2025); BTech in Computer Science and Engineering from PES University (2018–2022).

Achievements

  • ›Built a RAG-based social media analysis system for Capstone Project
  • ›Contributed to API validation frameworks at Oracle improving release reliability
  • ›Experimented with GenAI and LLM-based tools on Oracle Cloud
  • ›Served as a mentor at PESU IO peer-to-peer learning community

Opinions

  • Software should actually work, look good, and scale.
  • There is genuine satisfaction in the end-to-end process from clean APIs to polished UIs.
  • Engineers should maintain a mindset of picking up whatever the problem calls for.