Built and deployed responsive React-based web applications for the company's official site.
Collaborated on frontend feature implementation and performance optimization.
02 / achievements.log
Achievements
Three national-level results across hackathons spanning document AI, energy systems, and gesture recognition.
Top 100 / 250k+
Adobe India Hackathon 2025
Selected among Top 100 teams out of more than 250,000 registrations nationally.
2nd Place
AWS PartyRock Hackathon 2025
Secured 2nd position for EcoSync, an AI-powered energy optimization platform.
Rank 4
HackWithTricity — National Finalist
Ranked 4th nationally in the offline finals round.
Projects and Skills
technical capabilities.
~/sidhant/projects/
Projects
01 / projects/
Projects
IntelliDoc
AI-Powered PDF Structure & Relevance Extractor
Layout-aware PDF hierarchy reconstruction using font metadata and heuristics.
Semantic ranking of sections via NLP to extract persona-relevant content.
Fully offline execution, containerized with Docker for portability.
PythonNLPPyMuPDFDocker
Finance Data Processing Backend
Role-based financial records system
Backend system managing users and financial records with role-based access control.
JWT-based authentication supporting viewer, analyst, and admin roles.
REST APIs for CRUD and filtering, plus aggregation endpoints for dashboard insights.
Node.jsExpressMongoDBJWTRBAC
EcoSync
Smart Energy Management System
Prompt-based workflows on AWS PartyRock to analyze household energy usage.
Simulated consumption scenarios to derive optimization strategies.
Generated actionable appliance recommendations — up to 25% efficiency improvement in test scenarios.
AWS PartyRockPrompt Engineering
projects/ intellidoc
IntelliDoc
AI-Powered PDF Structure & Relevance Extractor — a two-stage pipeline that reconstructs document hierarchy and ranks sections by relevance to a given persona, built to run fully offline.
Overview
A document intelligence system that takes any PDF and recovers its true structure — headings, sections, hierarchy — using layout signals rather than relying on the file's own metadata, then ranks content by relevance to a specified persona.
Key Features
Two-stage pipeline in Python reconstructing document hierarchy via layout-aware heuristics and font metadata.
Semantic ranking of document sections using NLP to extract persona-relevant content.
Fully offline execution — no external API dependency at inference time.
Containerized with Docker for portability and reproducibility.
A backend system for managing users and financial records, built with role-based access at its core.
Overview
A REST API service for handling financial records across multiple user roles, with authentication, authorization, and aggregation built in from the ground up rather than bolted on.
Key Features
Built with Node.js, Express, and MongoDB to manage users and financial records with role-based access control.
JWT-based authentication and authorization supporting viewer, analyst, and admin roles.
REST APIs for CRUD operations and filtering of financial data.
Aggregation-based endpoints purpose-built for dashboard insights.
Smart Energy Management System — a prototype that turns household energy data into concrete, actionable recommendations.
Overview
An AI-driven prototype that simulates household energy usage and surfaces practical, appliance-level recommendations rather than abstract dashboards — built and validated on AWS PartyRock.
Key Features
Smart energy management prototype using AWS PartyRock, with prompts designed to analyze household energy usage patterns.
Prompt-based workflows simulating consumption scenarios to derive optimization strategies.
Logic for generating actionable appliance-usage recommendations.
Up to 25% reduction in energy use achieved across test scenarios.