About
Motivated AI/ML enthusiast with hands-on experience in data analytics, automation, and intelligent decision-making. Currently specializing in LLMs, RAG, and Agentic AI, with project work spanning AI assistants, contract analysis, and student-focused product design.
Experience
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Cybersecurity Research InternBARCJan 2026 – Mar 2026
Processed and analyzed 1000+ system logs using Sysmon. Performed data cleaning, filtering, and preprocessing. Identified patterns and generated actionable insights; documented workflows and analysis processes.
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Data Science InternEmbrozon TechnologiesJul 2025 – Aug 2025
Analyzed datasets of 5000+ records using Python and Excel. Conducted exploratory data analysis to identify trends and patterns. Built basic machine learning models and generated insights.
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Data Analyst InternTravel The CitiesJan 2025 – Mar 2025
Collected, cleaned, and processed customer booking data using Excel and SQL. Developed dashboards to track travel package performance and booking trends. Analyzed customer behavior to generate actionable business insights.
Education
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Bachelor's2022 – 2026
Skills
Tools / apps / platforms
Projects
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Vijeta — Operating System for Ambitious StudentsNext.js, React, TypeScript, PostgreSQL, Firebase, Gemini, Claude Code
Contributed to UI/UX and system design decisions for an AI-powered student ecosystem. Used Claude Code and Google Antigravity for vibe-coded development, implementing and refining key features and interfaces. Worked on opportunity discovery, team formation, AI mentorship, dashboards, and project showcase experiences.
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Legal Contract AnalyzerNext.js, FastAPI, FAISS, Sentence Transformers, Mistral
Built a Retrieval-Augmented Generation (RAG) system that extracts and chunks contract PDFs, generates semantic embeddings, retrieves relevant clauses using FAISS, and grounds local LLM responses in retrieved contract context. Implemented context-aware legal Q&A, risk analysis, clause classification, and semantic clause search with explainable results and source grounding. Contributed to UI/UX and product design, implementing key workflows and a modular AI pipeline supporting interchangeable embedding models, vector stores, and LLMs.
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VOXERA-AI- AI Video AssistantChromaDB, Whisper, Streamlit, Hugging Face, LangChain, Mistral API, RAG, LLMs
Built an AI-powered video assistant using a RAG pipeline for question answering over video content. Processed video transcripts, generated embeddings, and retrieved relevant context. Integrated an LLM to generate context-aware responses based on retrieved information.
Courses & certifications
- The Complete 2024 Web Development Bootcamp · Udemy · 2024
- Real Ethical Hacking · Udemy
- Deep Learning for Developers · Infosys Springboard
- Artificial Intelligence MasterClass · Cursa