Learning.Building.Improving.
I'm Piyush, an IT engineering student from Nagpur building real projects across full-stack development, AI, and cloud platforms. I've interned at two companies, shipped apps using Python, React, and LLMs, and I'm focused on growing into a software engineer who actually builds things — not just talks about them.
My Journey
I’m an Information Technology engineering student passionate about creating real-world software solutions. My work spans full-stack development, cloud platforms, and AI-powered applications. I focus on building practical systems that combine clean engineering with modern user experiences.
Through internships and hands-on projects, I’ve developed experience in CRM platforms, intelligent applications, and scalable software design. I’m continuously learning and refining my skills to grow into a versatile software engineer.
AI Intern
IT-Networkz Infosystems Pvt. Ltd.
Built AI-assisted tools using Python, worked with LLM pipelines and automation scripts in a team environment. Gained hands-on experience integrating AI capabilities into practical workflows.
Salesforce CRM Intern
Kavin India Pvt. Ltd.
Managed Salesforce administration tasks, designed custom workflows, and implemented automation using Flow and Apex triggers.
B.Tech Information Technology
Priyadarshini College of Engineering and Technology
Currently pursuing B.Tech in Information Technology with a focus on software development, cloud fundamentals, and data structures. Actively building academic and personal projects to strengthen practical skills.
Certifications & Badges
Azure Fundamentals
Microsoft | 2025
AWS Foundations of Prompt Engineering
Amazon Web Services | 2026
Software Engineering Job Simulation
Forage | 2026
Claude Code in Action
Anthropic | 2026
Power BI Data Analytics
Udemy / Microsoft | 2026
Design Fundamentals with AI
Adobe | 2025
Azure Fundamentals
Microsoft | 2025
AWS Foundations of Prompt Engineering
Amazon Web Services | 2026
Software Engineering Job Simulation
Forage | 2026
Claude Code in Action
Anthropic | 2026
Power BI Data Analytics
Udemy / Microsoft | 2026
Design Fundamentals with AI
Adobe | 2025
Recent Projects
PDF RAG AI Assistant
Upload any PDF and ask questions about it. The app retrieves relevant chunks using FAISS vector search and generates accurate answers via Groq's LLM API — no hallucinations, just document-grounded responses.
Key Features:
- •PDF upload with real-time document parsing
- •FAISS vector search for accurate chunk retrieval
- •Groq API (llama3-70b) for fast LLM responses
- •Clean Next.js 14 frontend with shadcn/ui components
ATS Resume Analyzer
AI-powered web application that analyzes resumes against job descriptions using LLM scoring to provide actionable feedback.
Key Features:
- •Real-time resume parsing and analysis
- •LLM scoring against job descriptions
- •Actionable feedback generation
- •Interactive Streamlit interface
AI Chatbot
Real-time conversational AI system capable of context-aware interactions and sentiment analysis for customer support.
Key Features:
- •Real-time conversational AI system
- •Context-aware interactions
- •Sentiment analysis for customer support
- •Powered by local Phi model
Java Analytics Dashboard
Desktop application for visualizing complex CSV datasets. Features interactive charts, filtering, and export capabilities.
Key Features:
- •Desktop application for parsing complex CSV datasets
- •Interactive visualization with JFreeChart
- •Advanced data filtering and export capabilities
- •Built entirely with Java 17 and Swing GUI