PERSONAL PORTFOLIO · 2026
Sudhakar NabhigariGEN AI ENGINEERLet’s connect ↗HELLO, WORLD ” I’M
Computer Science student at LPU, focused on Generative AI, LLM applications, RAG systems, intelligent agents and useful products that solve real problems.
Curiosity is my
favorite framework.
01 / A LITTLE ABOUT ME
I like turning complex ideas into clear, usable experiences ” from graph-based knowledge tools to voice assistants.
I’m pursuing B.Tech in Computer Science and Engineering at Lovely Professional University, with a focus on Generative AI. I enjoy working across the stack: exploring model-powered experiences, connecting APIs, designing interfaces, and learning how to make systems more reliable.
My goal is to become a Generative AI Engineer who can ship thoughtful AI products ” not just demos.
CURRENT FOCUS
02 / SELECTED WORK
Full-stack job portal concept with listings, authentication and application management.
Explore repository ↗Graph-oriented AI exploration project focused on connecting information and surfacing useful relationships.
Explore repository ↗Career guidance experience designed around skill-gap insights, personalized roadmaps and daily progress.
Explore repository ↗Cloud outage prediction and cost-impact dashboard exploring monitoring metrics and anomaly signals.
Explore repository ↗Voice assistant project focused on real-time interaction, speech pipeline behavior and conversational flow.
Explore repository ↗C++ data-structures project for managing and searching library records.
Explore repository ↗Community-focused food sharing web project designed to connect people with surplus food.
Explore repository ↗Security-oriented event logging experiment exploring system monitoring and log visibility.
Find on GitHub ↗Project descriptions are concise portfolio summaries. Open each repository for source code and implementation details.
03 / MY TOOLKIT
A growing toolkit across AI, software development, data and cloud.
Generative AI · LLM concepts · RAG fundamentals · Prompt engineering · AI agents · LangChain
Python · C++ · JavaScript · TypeScript · FastAPI · Flask · REST APIs
React · Vite · HTML · CSS · Tailwind CSS · Node.js · Express
Microsoft Azure · Git · GitHub · MongoDB · NumPy · Pandas · Streamlit
04 / VERIFIED LEARNING
Microsoft fundamentals plus hands-on learning through hackathons and projects.
Foundational knowledge of AI workloads and Azure AI services.
View certificate image ↗CERTIFIEDCore cloud concepts, Azure services, security and pricing fundamentals.
View certificate image ↗CERTIFIEDRelational and non-relational data concepts and Azure data workloads.
View certificate image ↗CERTIFIEDAlso learning by doing. Participated in DataForge 2026 at IIT Kharagpur and Hypnexis 2026 (online PPT submission round), alongside other project and hackathon work.
DataForge ↗Hypnexis ↗05 / THE JOURNEY
A student journey shaped by fundamentals, experimentation and the ambition to build useful AI.
Lovely Professional University · Phagwara, Punjab
Gen AI integrated with MicrosoftChanakya Junior College · Andhra Pradesh
ZPHS School · Chanamilli
My next milestones: build stronger RAG pipelines, understand evaluation, ship reliable agent workflows, and keep sharpening DSA and software engineering fundamentals.
06 / YOUR TURN
I’m interested in Gen AI projects, internships, collaboration and conversations with people building thoughtful technology.