I'm Pallavi Sadhanaveni — a final-year B.Tech CSE student at GRIET, Hyderabad, focused on Generative AI, LLM applications, RAG, and agentic AI, with full-stack engineering experience end to end. Currently seeking entry-level AI Engineering and Software Engineering roles.
A snapshot of who I am, what I do, and what's currently occupying my browser tabs.
I'm a final-year Computer Science & Engineering student at GRIET, Hyderabad, graduating in 2026. My work sits at the intersection of Artificial Intelligence and Software Engineering — full-stack products where a Large Language Model is genuinely load-bearing, not a bolted-on chat widget. From an AI career platform to an interview simulator, I care as much about how a product feels to use as how it's architected underneath.
"Build. Experiment. Learn. Improve."
— my working philosophyProfessional, hands-on work building AI-integrated software.
Full-stack, AI-integrated software — each following Problem → Solution → Technical Implementation → Result. Click any project to open the full case study.
Hover any technology to see where I've actually used it.
Formal academic background behind the engineering.
Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad
Narayana Junior College, Hyderabad — 2020 – 2022
Score: 89%
From first lines of code to shipping AI products in production.
Started my CS degree at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad — where curiosity about "how software actually works" turned into a full engineering habit.
Built and deployed a full-stack app that runs simulated technical & behavioral interviews using conversational AI, complete with personalized, AI-generated feedback.
Shipped React components for an agentic chat interface, built Node.js APIs for LLM orchestration and tool-calling, and designed SQL schemas powering retrieval for RAG.
Went deeper into end-to-end product ownership — AI-driven skill-gap analysis, a multi-tenant marketplace, and a published AI-assisted blogging platform, alongside coursework in RAG and agentic workflows.
Graduating in 2026 and looking for an entry-level AI / Software Engineering role — while continuing to build small experiments in the Lab section below.
Four things that consistently show up across my work.
Builds AI features into complete products rather than isolated demos.
Works across frontend, backend, APIs, databases, and AI integrations.
Designs UI/UX and technical architecture together.
Explores RAG, agentic AI, local LLMs, structured outputs, and orchestration.
Smaller experiments, prototypes, and explorations that don't need a full case study.
Small agent prototypes exploring plan-execute loops and multi-agent orchestration with n8n and LangGraph.
Testing context engineering, guardrails, and structured-output reliability across GPT-4o, Claude, and Gemini.
Comparing hybrid retrieval strategies over VectorDB + Postgres for grounding answers in real documents.
Reusable component explorations that later became the design system inside SkillForge.
Running Llama 3, Mistral, and Qwen locally through vLLM and Ollama to compare latency and cost trade-offs.
A React Context layer that lets one codebase serve three completely different visual templates — born out of Lumen & Grain.
Notes to myself, mostly — written while building.
Why grounding an LLM in real documents changes everything about reliability — and what "hybrid retrieval" actually solves that vector search alone doesn't.
Notes from coursework and experiments on why graph-based agent orchestration beats a single long prompt once a workflow has real branches.
What changed once I stopped treating UI/UX as an afterthought and designed the design system before writing a single component.
Prompt orchestration, tool-calling, and the guardrails that actually matter once real users start typing unpredictable things.
A keyword-matched assistant grounded only in this page's real content — instant answers about my projects, skills, and experience, no live AI model involved.
Let's create something meaningful — I'm currently open to entry-level AI & Software Engineering roles.
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