Skip to content

(02) Work

Selected
work.

Six projects, each shipped end to end: models, contracts, interfaces and the glue in between.

(06)Scroll to browse →
STOCK AI landing page: AI-driven avatar system for real-time stock market news
01 / 06
Final-year projectJul 2026 – present

STOCK AI

AI-driven stock forecasting & an avatar-presented market newsroom.

The platform predicts prices with statistical, machine-learning and deep-learning models and analyzes real-time financial news alongside them.

  • ARIMA/SARIMA baselines compared against XGBoost and LSTM forecasts
  • FinBERT sentiment scoring on live headlines
  • AI-avatar news briefings, technical indicators and TradingView charts
  • Python
  • TensorFlow
  • scikit-learn
  • FinBERT
  • Yahoo Finance API
  • React
  • TypeScript
  • Node.js
  • Tailwind
02 / 06
Open source · Web3Mar 2025

NFT Vault

Decentralized asset management for creators.

An open-source platform where artists mint, manage and monetize NFTs, with royalties enforced on-chain and media authenticity backed by decentralized storage.

  • Multi-chain deployment on Ethereum and Polygon
  • Lazy minting, auctions and creator dashboards
  • IPFS-backed provenance tracking for every asset
  • Solidity
  • Ethereum
  • Polygon
  • Web3.js
  • IPFS
  • Chainlink
  • Hardhat
  • React
03 / 06
DeFi protocolDec 2024

DeFi Vault

Lend, borrow and earn with no intermediaries.

A decentralized lending and yield platform where smart contracts automate collateral, interest and liquidity, with real-time analytics on top.

  • Collateralized loans with dynamic interest rates
  • Yield-farming pools for liquidity providers
  • Chainlink oracle price feeds to keep liquidity healthy and limit risk
  • Solidity
  • Ethereum
  • Chainlink
  • Web3.js
  • React
  • Hardhat
  • IPFS
04 / 06
Smart India HackathonSep 2024

Cyber Trigger

An ML-powered digital forensics assistant.

Built for SIH, it speeds up digital forensic investigations by automating how incident data is collected, analyzed and reported, so responders spend less time and make fewer mistakes.

  • Evidence import from disk images (libewf, pytsk3)
  • AI/ML anomaly detection across collected artifacts
  • Investigator-friendly interface with full reporting
  • Python
  • pytsk3
  • libewf
  • Wireshark
  • Solidity
  • Hardhat
05 / 06
Machine learningJan 2024

Movie Recommender

Content-based movie suggestions from a single favourite title.

A recommendation system that suggests 30 similar films from a dataset of 4,803 movies, using each film’s genres, keywords, tagline, cast and director.

  • TF-IDF vectors built from five combined text features
  • Cosine similarity across a 4,803 × 4,803 matrix to rank matches
  • Fuzzy title matching with difflib, plus exploratory charts of ratings and popularity
  • Python
  • pandas
  • NumPy
  • scikit-learn
  • seaborn
  • Google Colab
Restaurant website hero: "Welcome To Our India Restaurant" next to a sushi photo
06 / 06
Front-end2023

Restaurant Website

A one-page, animated website for an Indian restaurant.

A single-page restaurant site with a filterable menu, gallery, table booking hours, chef and testimonial sliders, FAQs, a blog and a newsletter footer.

  • Menu filtered by breakfast, lunch and dinner with MixItUp
  • Swiper sliders for chefs and reviews, and a Fancybox gallery
  • Smooth scrolling and parallax effects with GSAP ScrollTrigger
  • HTML
  • CSS
  • JavaScript
  • Bootstrap
  • jQuery
  • GSAP
  • Swiper
  • Netlify
Keep scrolling

How I work

Research. Build. Ship.

01

Research the problem

Start from the papers and the data. For STOCK AI that meant benchmarking classical ARIMA against ML and deep-learning models before writing any UI.

02

Build the core

Get the hard part right first, whether that’s a forecasting pipeline, a lending contract or an evidence parser, then wrap it in clean APIs.

03

Ship & polish

Deploy early (Vercel, GCP, testnets), get feedback and keep iterating on the details people notice.

Next: the toolboxStack