Vishal V V

Vishal V V

Computer-science student working two tracks — cybersecurity and applied AI. I build agents that talk, models that predict, and tools that defend, mostly in Python. I learn by shipping, breaking things on purpose, and reading the stack trace.

Two tracks — pick one to highlight related work:

Projects

Agri-Fincaster

2024–25 · shipped

Crop-yield forecasting from public agricultural data. Regression models trained on government datasets predict yield for a region and suggest planting windows, so farmers and stakeholders can plan crops with data instead of guesswork.

Built with Vihaan S for the CBSE Science Exhibition 2024–25.

Case study → GitHub ↗

Monie

in development

Personal-finance analysis that uses machine learning to surface spending patterns, flag unusual transactions, and suggest budget adjustments — built as a Social Action Project.

Case study → code coming soon

Crypt

stable

A Python security toolkit: modular encryption and decryption, password-strength analysis, and educational cracking simulations. Designed for both CLI and web use, with ethical security testing in mind.

Case study → code coming soon

Experience

Kenpath Technologies

software engineering intern · ongoing

End-to-end mobile engineering with a social-impact brief — accessibility-first Android apps for visually challenged users, built native and cross-platform with Kotlin, Expo, and React Native.

  • Agri-tech platform bridging mobile apps and custom microcontroller hardware (ESP32, Arduino Nano) — including AI agents that help farmers identify livestock disease.
  • Voice-first study companion for university curricula: LiveKit real-time conversation and telephony, with document-retrieval tool calling.
  • Hardened company infrastructure — phishing-email protection, biometric-linked authentication, and strict role-based access control.
  • Led AG-UI interface work so highly technical backends land as simple, intuitive UIs.

Toolkit

What I'm hands-on with right now.

Python
My daily language — typed and async. Everything from ML pipelines (pandas, scikit-learn) to security scripting and agent backends.
LiveKit
Real-time voice agents: STT → LLM → TTS pipelines with interruption handling, tool calls, and low-latency audio rooms.
Pydantic AI
Typed LLM agents — structured outputs, tool calling, and validation that catches model drift at the boundary.
ag-ui
The protocol layer between agents and interfaces: streaming tool calls, state sync, and generative UI in the browser.

Skills

Security

  • Network fundamentals
  • Cryptography & hashing
  • Password security
  • Web & API security basics
  • Linux hardening

AI & ML

  • Supervised modelling
  • Feature engineering & evaluation
  • LLM tool use & structured output
  • Voice & conversational agents
  • Prompt design & eval loops

Engineering

  • Python — typed, async
  • HTML, CSS, JavaScript
  • Git & version control
  • Linux command line
  • REST APIs & SQL

Certifications

  • TryHackMe — Pre-Security
  • TryHackMe — Advent of Cyber 2024
  • Times of India — Certified Young AI Explorer
  • More in progress

Highlights

Competitions, olympiads, and the teaching habit.

HPE CodeWars 2025
Rank 36 — 99.41st percentile — at Hewlett Packard Enterprise's coding competition.
Schoolhouse.world
Top-10% volunteer tutor — 45+ hours across 68+ learners in 20+ countries, senior tutor in the SAT Bootcamp, 100% Algebra 2 mastery, 120+ positive peer ratings.

Off the clock: Carnatic vocal and western keyboard — three years of formal training each — music production, and the occasional puzzle hunt (1st place, intra-school Computer Matrix).

Contact

Always happy to trade notes on security, agents, and ML. Departures below.