Hello, world!
I'm Nithin
CS Undergrad & Tech Enthusiast
I enjoy building practical software that solves real problems. I've worked on full-stack projects, explored AI systems like RAG, and used data structures to make applications faster and more efficient. I'm always learning and looking for ways to build better systems.
About Me
Hello! I'm Nithin Venkat Sharma P M, a Computer Science student at Amrita Vishwa Vidyapeetham. I enjoy building software that solves real problems and focuses on usability and performance.
I’ve worked on full-stack applications and can adapt to different stacks to build clean, responsive systems. I’ve used tools like React on the frontend and FastAPI or Node.js on the backend, along with Python and databases such as PostgreSQL and MongoDB. I’m comfortable with Git, Figma, VS Code, and Linux, and I enjoy working in smooth workflows and building things with others.
Some of my recent work involves exploring AI-based systems like RAG, where I’ve built applications that can understand documents and answer queries in a meaningful way. I also enjoy using data structures to improve performance when needed.
Outside of projects, I like exploring new technologies, participating in hackathons, and working with teams to build and improve ideas. I'm always looking for opportunities to learn, take on challenges, and grow as a developer.
Education & Certification
B.Tech in Computer Science
Amrita Vishwa Vidyapeetham, Coimbatore (Aug 2024 – Aug 2028)
Skills & Technologies
Featured Projects
A curated selection of my best work.
Dayta
A full-stack Progressive Web App that answers academic calendar queries using a Retrieval Augmented Generation (RAG) pipeline over official calendar documents. Features vector search with Pinecone for accurate, document-grounded responses, session-aware interactions, and guardrails to restrict responses to academic calendar content.
View Project
Stock Query System
A stock query system using Segment Trees for efficient range queries (min, max, sum, average) in O(log n) time, combined with a RAG pipeline to interpret natural language stock queries and retrieve relevant documents. Blends classical DSA with modern AI for improved computational efficiency and query accuracy.
View Project
SkillUp
An AI-driven platform to analyze resumes, detect skill gaps, and map them to target job roles. Implements backend services for resume parsing, skill extraction, and recommendation generation, integrating external APIs to curate personalized courses, tutorials, and project suggestions. Won 2nd place at Hack101.
View ProjectLet's Connect!
I'm currently open to new opportunities and collaborations. Whether you have a project in mind, a question, or just want to say hi, feel free to reach out!