CS final-year at TIET with internship experience across full stack, AI, and analytics. I build end-to-end products around GenAI, RAG, data systems, and practical business workflows.

• Based in Gurugram
• Current focus areas from public work: AI agents, data tooling, financial workflows, and full-stack product builds
• Bio evidence: MERN, GenAI, RAG, Power BI, and end-to-end project delivery

• AI-assisted analytics tools that turn raw business or dataset inputs into usable outputs
• Full-stack product prototypes with live deployment, backend services, and practical UX
• Applied ML and assistive-tech experiments with a clear problem-driven angle

Programming languages

JavaScript, Python, SQL, TypeScript, Jupyter Notebook, HTML, CSS3

Backend

Node.js, Express.js, REST API development, FastAPI, Flask

Frontend

React.js, HTML, CSS3, Tailwind CSS, Vite, Streamlit

AI and data science

GenAI, AgenticAI, RAG, LLMs, LangChain, LangGraph, NLP, Machine Learning, pandas, seaborn, matplotlib

Databases

MongoDB, MySQL, PostgreSQL, AWS ChromaDB, DuckDB

Tools

Docker, Git, VS Code, Vercel

This chart is based on the primary language of highlighted public projects, not repository byte counts.

Accessible agricultural assistance platform for farmers in India with voice-enabled support across multiple regional languages, crop recommendations, and financial guidance.

Stack: Jupyter Notebook, AI/analytics workflow
Why it stands out: Strong real-world problem framing and accessibility focus
Repository

End-to-end mock stock exchange app with real-time price flows, AI portfolio analysis, and virtual trading.

Stack: TypeScript, React/Vite, Flask, PostgreSQL, Vercel
Why it stands out: Full-stack architecture, realtime flows, and AI-assisted portfolio features
Repository

AI-powered data companion for dataset querying, visualization, and insight generation across CSV, Excel, JSON, Parquet, and text inputs.

Stack: Python, FastAPI, LangChain, Google Generative AI, pandas, seaborn, matplotlib
Why it stands out: Multi-format data handling with analyst-focused workflow design
Repository

Knowledge distillation pipeline that compresses a large LLM into a smaller student model for faster, lower-cost deployment in resource-constrained environments.

Stack: Python, FastAPI, React, Vite, Tailwind CSS, Gemma 7B -> Gemma 2B distillation pipeline
Why it stands out: End-to-end optimization workflow from training and evaluation to API serving and web interaction
Repository

Modular web app that converts company financial context documents into downloadable research PDFs with confidence, citation, and data-quality surfaces.

Stack: Python, Streamlit, Groq API, pypdf, pandas, reportlab, matplotlib
Why it stands out: Clear business use case, structured pipeline design, and document-to-report automation
Repository

Natural-language query agent for CSV files and SQL databases with read-only guardrails and transparent query generation.

Stack: Python, SQL, pandas
Why it stands out: Focus on safe querying and explainable results for data workflows
Repository

• Public repositories: 26
• Followers: 2
• Following: 8
• Highlighted repo language mix: 5 Python, 2 TypeScript, 1 Jupyter Notebook
• Visible achievements on profile: YOLO, Quickdraw

• Analyst-Copilot updated on May 31, 2026
• AutoAnalyst-Agent updated on May 18, 2026
• AgriSense updated on May 17, 2026
• LLM-Distillation updated on May 12, 2026
• LiteKite updated on April 25, 2026

• GitHub: kanish818
• Location: Gurugram