<- return

Kanish Paul

Career & Experience

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Professional Summary

B.Tech CSE (AI & ML) student building agentic AI systems — autonomous agents, multi-model orchestration, and the full-stack surfaces that make agent behaviour visible and correctable. An active builder in the modern tech ecosystem with good foundations in Data Structures, Algorithms, Object-Oriented Programming, and System Design. I have participated in various online hackathons and build-in-public events and am working to become consistent across multiple tech domains.

Education

Institute of Engineering & Management (IEM)
B.Tech Computer Science and Engineering (AI & ML)
2027
University of Engineering & Management (UEM) / 7.78 CGPA / Full-time
St Francis Xavier School
ISC (Class XII)
2023
CISCE / 81.25% / Full-time
St Francis Xavier School
ICSE (Class X)
2021
CISCE / 88.60% / Full-time

Technical Skills

Agentic AI
Agent-first architecture (Eve), multi-model orchestration, LLM integration (Gemini 2.5 Flash), PyTorch, TensorFlow, OpenCV
Core Proficiencies
Data Structures & Algorithms, Object-Oriented Programming (OOP), System Design
Languages
Java, Python, TypeScript, JavaScript, SQL, Solidity, C, HTML5, CSS3
Frameworks & Libraries
Next.js, React, REST API, Spring Boot, PyTorch, OpenCV, Tailwind CSS, TensorFlow
Developer Tools & Cloud
Git, GitHub, AWS, Linux/WSL, Remix, VS Code, Render, Railway, Figma, Framer

Projects

01
Mindstruck — Agentic-First CRM (Under Development)
  • /Building an agent-first CRM where intelligent background agents manage and gather data as notes inside the CRM.
  • /Built on Eve — Vercel's filesystem-first framework for durable agents.
02
Chess-Laya — Hybrid AI Engine
  • /Designed a hybrid chess system running Minimax, Laya (Indian OOS alternative of Jev), and Gemini 2.5 Flash in parallel.
  • /Constructed real-time move validation and dynamic state synchronization with sub-second decisions during gameplay.
03
AXI — Web3 Decentralized Service & Product Marketplace
  • /Built a decentralized freelance and product marketplace using non-custodial blockchain escrow smart contracts for secure settlements.
  • /Integrated automated dispute resolution logic and cryptographic signature verification for trustless buyer-seller transactions.
04
Autonomous Search & Rescue AI Drone
  • /Configured an onboard edge vision pipeline executing real-time human and obstacle detection at 28–30 FPS.
  • /Built a budget drone that was fully funded by the university.

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Internships & Certifications

  • /AI Upskilling: Hands-On Development from Model to App — Qualcomm Academy & Arduino / September 2026. Learned to train and test models with Arduino Uno.
  • /AWS Cloud Practitioner Quest — Amazon Web Services / March 2026. Learned to use services including AWS S3, VPC, and EC2.
  • /Deloitte Data Analytics Virtual Internship — Forage / June 2025. Learned to work with data in Tableau.

Interests

  • /DSA Problem Solving: Solved 100+ LeetCode problems, primarily covering arrays and strings.
  • /Freelance Video Editing: Produced fast-paced, high-retention short-form video content using CapCut and Canva.
  • /D2C Copywriting & Cold Outreach: Executed data-backed cold email sequences and outbound lead generation funnels.