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Laxmi RayLR
Open to opportunities

Laxmi Ray

@laxmiray

Graduate Engineer Trainee building RAG-powered AI and full-stack web apps.

India
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What I'm looking for

I’m looking for a role where I can build production-grade backend and AI features—RAG pipelines, secure APIs, and responsive UIs—while growing through mentorship and shipping in agile teams.

I’m a Graduate Engineer Trainee at HCLTech working on an OTP Corporation project in Nagpur, where I owned frontend bug resolution across sprints and helped clear 30% of the open issue backlog (15+ bugs resolved). I delivered React component refactors to improve reusability and reduce code duplication, and I collaborate through the full Agile cycle using Jira and Git.

I also build production-focused AI and full-stack systems: AskDocs is a RAG-based document Q&A pipeline exposed as a FastAPI REST service with hybrid retrieval (BM25 + ChromaDB, ONNX embeddings, ReciprocalRankFusion) and conversational memory. In parallel, I developed CodeLens (hierarchical RAG for codebase architecture docs) and ThinkFlow, a voice-to-task assistant using SarvamAI speech-to-text, Cerebras LLM, secure JWT auth via Supabase, and deployment on Render with responsive Tailwind UI.

Experience

Work history, roles, and key accomplishments

HCLTech logoHC
Current

Graduate Engineer Trainee

Oct 2025 - Present (9 months)

Owned frontend bug resolution across 3 sprints on an OTP Corporation project, clearing 30% of the open issue backlog (15+ bugs resolved). Delivered React component refactors to improve reusability and reduce UI code duplication, participating in Agile cycles using Jira and Git.

Education

Degrees, certifications, and relevant coursework

GE

G.H. Raisoni College of Engineering

Bachelor of Technology, Computer Science

2021 - 2025

Grade: CGPA-8.8

Bachelor of Technology in Computer Science at G.H. Raisoni College of Engineering (2021–2025), achieving a CGPA of 8.8.

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