Mahesh Boda

Mahesh Boda

21 y/o working 80-100 hours a week to build my career.


About

I’m a Computer Science student and aspiring AI Engineer focused on building practical AI-powered applications. I work with Python, React, TypeScript, Flask, LLMs, RAG pipelines, and AI agents to turn ideas into working products. I’m good at problem-solving, full-stack development, integrating AI models into applications, and building agentic workflows that automate tasks. I enjoy experimenting with new AI technologies, building projects, participating in hackathons, and contributing to the developer community.

Skills
Python
TypeScript
JavaScript
Java
React
Next.js
Angular
Flutter
Node.js
Google Cloud
Firebase
Docker
Gemini
TensorFlow
PyTorch
LangChain
PostgreSQL
MongoDB
CI/CD
System Design
LLM
Machine Learning
Deep Learning
Agentic AI
Prompt Engineering
Context Engineering
Loop Engineering
Experience

AI Engineer Intern

Krutanic

September 2026 to Present
  • Worked on AI/ML projects.

AI Engineer Intern

SKXYWTF

June 2026 to August 2026
  • Built an agentic company discovery system in TypeScript during my engineering internship, automating SKORE's equity research pipeline by monitoring earnings, news spikes, and analyst events across the coverage universe.
  • Integrated Claude for web-based event detection and significance scoring, Supabase for trigger state and queue management, and Resend for automated market intelligence alerts.
  • Implemented deduplication, scheduled execution, REST endpoints, and automatic SKORE pipeline triggering for high-priority events, eliminating manual company discovery.
Projects

TruthLens

Deepfake detector that went from a 54.1% F1 baseline to over 95% F1, with false positives cut from 49.8% to under 4.8%. Built on a cleaned 190,335-image dataset and runs in under 2 seconds per image. Placed 5th of 120 teams at HACKATTACK 2026.

React
TypeScript
Node.js
Python
PyTorch
Flask
Gemini AI

AI Agent for Farming

Farming advisor in 23 languages (English plus 22 Indian regional languages). Covers 20 crop profiles and pest and disease diagnosis for 28+ crops, with leaf-photo identification and a 0–100% confidence score.

React
TypeScript
Python
Gemini 2.5 Flash
Education

Bachelor's

Sreyas Institute of Engineering and Technology

2023 to 2027
Certifications