MCA student at CHRIST (Deemed to be) University, Bengaluru (2026–28) with a BBA (Computer Applications) background. I build practical software across backend systems, databases, GenAI and RAG, and I like pairing AI with solid engineering so the result is reliable, fast and respects user privacy. I've shipped projects through hackathons, academic work and research, and I'm looking for opportunities to apply these skills to real-world problems.

class Arnav:
    role      = "MCA Student · Software Developer"
    based_in  = "Bengaluru, India"
    building  = ["Prompt Token Optimizer", "SQLMate"]
    learning  = ["SAP BTP", "ABAP", "Cloud fundamentals"]
    open_to   = ["Internships", "Full-time: Software Dev & GenAI Engineering"]
    ask_me_about = ["Python", "Flask", "RAG pipelines", "Local LLMs (Ollama)", "SAP Build"]

Context-aware itinerary generation that returns structured travel plans in under 5 seconds.

• RAG pipeline with Flask, LangChain, HuggingFace embeddings and ChromaDB
• Data ingestion and vector storage workflow using web scraping and semantic search
• Google Gemini API for structured JSON travel plans

Privacy-focused extension that compresses AI prompts with local LLM inference (Ollama), so prompts never leave your machine.

• Compression and validation pipeline that preserves URLs, numbers, code blocks, constraints and critical instructions
• Token-savings analytics and fallback handling
• Works with ChatGPT, Claude and Gemini on a Manifest V3 architecture

Backend for competitive coding modes with score tracking.

• Flask RESTful APIs and score-tracking logic
• MySQL for storing and managing user performance data

Languages

Frontend & Backend

AI / GenAI

Databases, Cloud & Enterprise

Tools

Open to internships, full-time roles and collaborations in software development and GenAI engineering. Happy to talk AI, LLMs, backend systems and SAP.