Hello, I'm
A passionate Computer Science graduate based in Bengaluru, specializing in AI-powered solutions and full-stack development. I build intelligent systems using LLM integration, modern frameworks, and scalable architectures to solve real-world problems.
About Me
I'm a Computer Science graduate passionate about building AI-powered solutions and scalable web applications. With hands-on experience in Generative AI, LLM integration, and full-stack development, I specialize in creating intelligent systems that solve real-world problems.
My expertise includes developing AI-driven applications using modern frameworks, integrating LLM APIs (Gemini, GPT), and building production-ready systems with FastAPI, React, and Vue.js. I enjoy working on cutting-edge technologies, collaborating with cross-functional teams, and delivering solutions that make a meaningful impact.
My Journey
• Led frontend development for multiple AI-powered internal tools, including an LLM-based slide generation
system and a diagram automation platform.
• Designed and implemented scalable frontend architectures using Vue.js and React with Vite, focusing on
modular
components and maintainable codebases.
• Collaborated closely with backend teams to integrate FastAPI services, LLM APIs (Gemini 2.5, GPT-4.5),
and
data-driven workflows.
• Implemented advanced export and visualization features such as PPTX generation, dynamic charts, and
struc
tured diagram outputs.
• Contributed to system design discussions, API contracts, and end-to-end testing to ensure
production-ready AI
applications.
• Contributed to web-based fintech solution development using modern frontend technologies
• Assisted in optimizing platform performance and UI responsiveness
• Worked in a fast-paced startup environment with cross-functional teams
• Completed a 4-week intensive internship focused on Generative AI concepts
• Gained hands-on experience with AI model implementation
• Worked on projects involving text generation and language modeling
• Trained in IBM Cloud and SkillsBuild tools during a structured 4-week internship
• Explored real-time AI applications and cloud computing use cases
• Completed hands-on labs on AutoAI and chatbot deployment on IBM Cloud
My Education
2023 - Present
• Core Subjects: Data Structures, Algorithms, Web Development, Operating Systems, Databases
• Engaged in technical projects and AI/Cloud internships
2020 - 2023
• CGPA: 9.06
• Gained solid programming foundations and developed full-stack web applications
• Participated in state-level coding and project expos
2020
• Percentage: 64%
• Developed foundational interest in science, math, and computing
• Actively involved in school-level competitions and academic events
What I Know
Python, JavaScript, TypeScript
HTML, CSS, JavaScript, React.js, Vue.js
FastAPI, REST APIs
MySQL, MongoDB, ChromaDB
Git, GitHub, Docker
Communication, Teamwork, Time Management, Collaboration, Adaptability
Company Projects
Technology Stack: Vue.js, Python, FastAPI, LLM APIs (Gemini 2.5, GPT-4.5)
• Built an AI-powered slide generation platform that converts structured user inputs into professional
PowerPoint presentations.
• Integrated large language models (Gemini 2.5, GPT-4.5) for automated content generation and slide
structuring.
• Implemented Bosch-compliant PowerPoint templates to ensure consistent corporate branding across
generated decks.
• Developed PPTX export functionality using pptxgenjs, supporting dynamic charts, tables, and graphs.
• Collaborated with backend services via FastAPI to enable secure, scalable, and production-ready AI
workflows.
Technology Stack: React, TypeScript, Python, FastAPI
• Built an AI-driven web application to generate Draw.io network diagrams from JSON schemas.
• Implemented a FastAPI backend with Pydantic validation, asynchronous processing, and optimized XML
generation using lxml.
• Developed a React + Vite frontend featuring dynamic form builders, real-time JSON validation, and
integrated Draw.io editor.
• Enabled REST APIs for diagram generation, status tracking, and streaming file downloads.
Technology Stack: Python, FastAPI, Streamlit, ChromaDB, SQLite, Ollama
• Designed a fully offline AI-powered learning assistant for rural students with syllabus-grounded
Q&A.
• Implemented structure-aware document parsing, semantic chunking, and vector embeddings using
BAAI/bge-large-en-v1.5 (1024-dim).
• Built a retrieval-augmented generation (RAG) pipeline using ChromaDB and Phi-3 via Ollama with retrieval
only fallback.
• Developed separate Streamlit-based admin and student portals optimized for low-resource, CPU-only tablet
deployments.
My Work
Achievements
Get In Touch
Feel free to reach out if you're looking for a developer, want to collaborate on a project, or just want to say hello!
Bengaluru, India