Skip to main content
HAKSHAY REDDY UserHU
Open to opportunities

HAKSHAY REDDY User

@hakshayreddy

Software Engineer focused on applied AI, full-stack, and LLM-powered RAG systems.

India
Message

What I'm looking for

I’m looking to build production LLM/RAG and agentic systems end-to-end—shipping measurable product impact with strong ownership, safe tooling, and cloud-scale engineering practices across cross-functional teams.

I’m a upcoming Software Engineer and Ex-SWE intern at PayPal with applied AI focus, bringing full-stack delivery and enterprise-grade engineering to production systems. I owned end-to-end development of an internal web application (Next.js + Spring Boot) with OAuth 2.0 secure-by-design authentication and accessibility compliance, and I architected a service-oriented migration of 100+ legacy database-driven jobs into independently deployable Spring Boot microservices.

I build LLM-powered retrieval/grounding pipelines and agentic, tool-using workflows that are safe, contextual, and measurable. I designed and built a production-grade RAG pipeline (offline/online experiments), reduced onboarding effort by ~40–60%, exposed secured REST APIs as MCP tools for agent-based actions, and engineered low-latency context sharing for agentic evaluations. Alongside LLM-as-a-Judge multimodal orchestration (Google Speech-to-Text + RAG), I also contributed through on-call rotations, while applying MLOps practices like model monitoring, CI/CD, and scalable cloud deployments across AWS, Azure, and Google Cloud.

Experience

Work history, roles, and key accomplishments

PayPal logoPA

Software Engineer Intern

May 2025 - Aug 2025 (3 months)

Owned end-to-end delivery of an internal Next.js + Spring Boot web application with OAuth 2.0 secure-by-design authentication and accessibility-compliant UX. Built production LLM-powered RAG retrieval/grounding pipelines and MCP-based tool-using agent workflows, running offline/online experiments that reduced onboarding effort by ~40–60%.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology logoVT

Vellore Institute of Technology

Bachelor of Technology (B.Tech.), Artificial Intelligence & Machine Learning

2022 - 2026

Grade: CGPA: 9.80 / 10.0

Pursuing a B.Tech. in Computer Science & Engineering with a specialization in Artificial Intelligence & Machine Learning. Current CGPA is 9.80/10.0.

Find your dream job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan