class Krrish:
role = "Computer Science Student"
focus = [
"Full-Stack & Backend Engineering",
"Systems & Performance",
"Data & AI/ML",
]
languages = [
"Python",
"JavaScript",
"TypeScript",
"C++",
]
interests = [
"Web & Mobile Development",
"Data-Intensive Applications",
"AI/ML & Intelligent Systems",
"Open Source",
]|
AI-assisted judicial case prioritization platform. A deterministic 1–10 scoring model runs through a 4-agent pipeline — validation, delay analysis, priority scoring, and SLA-based hearing scheduling. Firebase auth, Firestore persistence, live job polling, analytics, server-side PDF reporting, and Groq-generated case summaries.
Dataweb Hackathon — 1st Runner-Up, Automation Domain (Team Project) |
Medication safety platform surfacing drug-drug interaction risks and hidden prescription cascades using Groq's LLM and vision models. Prescription OCR, multilingual reports, a searchable 2,000+ drug library, Firestore-synced history, voice dictation, and PDF export.
|
|
Role-based attendance and On-Duty platform connecting students, committee leads, and faculty to resolve extracurricular attendance conflicts. Real-time Firestore sync, protected routing, attendance verification, and automated email/SMS workflows. |
Android cybersecurity app that analyzes suspicious SMS, WhatsApp, and email content entirely on-device — no backend, no external API dependency. Threat scoring, phishing tactic classification, multilingual detection, URL heuristics, and an animated risk-analysis dashboard.
|
- Dataweb Hackathon — 1st Runner-Up, Automation Domain (NyaayaBot)
- PARADOX Agentic AI Hackathon — Top 10
- Summer Hacks 2026 Hackathon — Top 15
Languages
Frameworks & Development
Database & Cloud
Tools & Libraries
Focus Areas
Full-Stack Development Backend Engineering Systems & Performance Data & AI/ML Web & Mobile Development Agentic AI Data Structures & Algorithms
Beyond Code
Team Management Business Operations Client Relations
Currently Exploring (GSoC / Open Source Direction)
PostgreSQL REST APIs Docker Linux Pandas NumPy scikit-learn PyTorch
Technical Interests
C++ Systems Backend & APIs Data-Intensive Applications AI/ML Performance Optimization Open Source
Building consistently, one contribution at a time.
