About
B.Tech student in Artificial Intelligence & Machine Learning with hands-on experience in Python, machine learning, generative AI, and multi-agent systems. Built ML models, LLM/RAG applications, and AI-powered software using Scikit-learn, LangGraph, Streamlit, and FastAPI.
Experience
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Software Development InternSaiKet SystemsOct 2026 – Nov 2026
Developed utility applications, integrated public APIs, built a blog app with local storage, and practiced application testing, data handling, and UI development.
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Machine Learning InternProdigy InfoTechOct 2026 – Nov 2026
Implemented regression, clustering, classification, and image-based machine learning models for prediction and recognition tasks.
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Generative AI InternCodoMax Digital SolutionsSep 2026 – Oct 2026
Learned generative AI and transformer fundamentals, practiced prompt engineering, developed an AI chat application, and implemented RAG workflows and vector databases.
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Machine Learning InternSaiKet SystemsAug 2026 – Sep 2026
Built and evaluated a telecom churn prediction model, cleaned data, handled missing values, encoded categorical features, and compared multiple machine learning models.
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Python Development InternSaiKet SystemsJul 2026 – Aug 2026
Built Python applications including a to-do list app, number guessing game, file handling program, web scraper, currency converter, and word count tool.
Education
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2025
B.Tech in Artificial Intelligence & Machine LearningGH Raisoni College of Engineering and Management, WagholiArtificial Intelligence and Machine Learning · 2021 – 2025
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2021
12th (HSC)Shriman V.S. Gangan Jr. College of Arts, Commerce & Science2019 – 2021
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2019
10th (SSC)Smt. Arundhati Arun Padhye English Medium School2019
Skills
Tools / apps / platforms
Languages
Projects
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Realistic Perfume Bottle RenderBlender, HDRI Lighting, Glass Shader
Created a photorealistic 3D product visualization of a luxury perfume bottle with hard-surface modeling, realistic materials, and advanced lighting.
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NutriPlan – Meal Prep & Nutrition TrackerPython, Streamlit, Pandas, Plotly, NumPy
Built a nutrition tracking web app for meal logging, weekly planning, recipe suggestions, calorie/macro goal calculation, and trend dashboards.
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Agentic Privacy Guard & Contract Risk AuditorPython, LangGraph, Ollama, ChromaDB, spaCy, PyMuPDF, FastAPI, Next.js
Built a multi-agent AI system to analyze contracts for hidden legal risks, redact sensitive data, classify clauses, and expose results through an API and dashboard.
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Self-Healing Autonomous Multi-Agent DevSecOps EngineerPython, LangGraph, Ollama/vLLM, Qdrant, Tree-sitter, Docker SDK, GitPython, Streamlit
Built a multi-agent system that monitors microservice logs, diagnoses crashes, generates fixes with local open-weight LLMs, validates patches, and automates GitHub PR creation.
Courses & certifications
- Basics of Predictive Analytics · UniAthena
- AI Fluency for Students · Anthropic
- Claude Code in Action · Anthropic
- Introduction to AI · Google Cloud (Coursera)
⚽ Extracurricular activities
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Artificial Intelligence Coding Club – Vice President
Worked with the president and executive board to plan and organize workshops, coordinate coding competitions, and manage club activities for students interested in AI and software development.
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Competitive Athletics
Reached state level in hockey and district level in badminton; developed discipline, strategic thinking, and performance under pressure through regional tournaments.