Het Gandhi

AI Researcher

Gandhinagar, Gujarat, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Strong foundation in AI and Machine Learning.
  • Hands-on experience with full-stack development.
  • Top competitive programming ratings showcasing problem-solving skills.
Stackforce AI infers this person is a Backend-heavy Fullstack Developer with a focus on EdTech and AI-driven solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Machine LearningBackend DevelopmentFrontend Development

Other Skills

Python (Programming Language)React.jsNode.jsMongoDBJWT authenticationRESTful APIsRazorpayCloudinaryPostmanGenerative AILarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)AI AgentsModel Context Protocol (MCP)Data Structures & Algorithms

About

I am a final-year B.Tech ICT student at DAIICT focused on Artificial Intelligence, Machine Learning, and backend engineering, with an interest in building intelligent systems that operate reliably at scale. Currently, I work as an AI-ML Intern at Ishan Technologies (Sprinklr Engagement), contributing to intelligent monitoring and automation systems. My work involves analyzing large volumes of infrastructure events, identifying correlations between alerts, and applying ML-driven approaches to improve incident understanding and operational reliability in production environments. My technical interests include Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and AI-driven automation. I enjoy exploring how AI capabilities can be integrated into real-world systems to automate analysis, enhance observability, and support faster operational decision-making. I also explore technologies related to AI infrastructure and system automation, including monitoring systems, workflow automation, and modern AI tooling such as Model Context Protocol (MCP). Competitive programming has played a major role in strengthening my algorithmic thinking and problem-solving ability. • LeetCode Knight (Rating: 2061 | Top 1.82%) • Codeforces Specialist (Rating: 1420) • CodeChef 3⭐ (Rating: 1617) I work comfortably with Python for AI/ML development and JavaScript-based backend technologies for building scalable applications. My experience includes designing APIs, handling databases, processing real-time system data, and developing intelligent automation workflows. Key Skills: Python • Artificial Intelligence (AI) • Machine Learning • Generative AI • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • AI Agents • Model Context Protocol (MCP) • Data Structures & Algorithms • Competitive Programming • Backend Development • Node.js • REST APIs • MongoDB • PostgreSQL • System Design • Zabbix Monitoring • Root Cause Analysis (RCA) • Workflow Automation (n8n) • Git • Linux I am motivated by challenging engineering problems, continuous learning, and opportunities to apply AI techniques to improve real-world systems.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Ishan technologies

AI/ML Intern

Jan 2026Present · 3 mos · Ahmedabad, Gujarat, India · On-site

Python (Programming Language)Artificial Intelligence (AI)Machine Learning

Dhirubhai ambani university

Research Intern

May 2025Jun 2025 · 1 mo · Gandhinagar · On-site

  • During my Summer Research Internship at DA-IICT, I built DevAssist, an EdTech Course Management Platform, under the supervision of Prof. Harpreet Singh Jattana. The platform followed a three-tier architecture: Presentation Layer (React.js + Tailwind CSS), Application Layer (Node.js with Express.js for RESTful APIs), and Data Layer (MongoDB with Mongoose ODM).
  • On the frontend, I developed interfaces for both students and instructors. The student side included category-based course filtering, shopping cart, Razorpay-powered checkout, video player with progress tracking, dashboards for enrolled courses, and review/rating features. The instructor side supported a course creation wizard, section-wise lecture uploads, and dashboards with enrollment statistics and revenue tracking.
  • On the backend, I implemented a secure system with JWT authentication, bcrypt password hashing, OTP-based email verification, role-based access control (RBAC), and tokenized password reset flows. I designed schema-driven models for courses, sections, lessons, progress tracking, ratings, and reviews. Payments were handled with Razorpay Orders API, including lifecycle management, payment verification, and automatic enrollment on success.
  • For media storage, I used Cloudinary for optimized hosting and streaming. APIs were tested with Postman, and I configured CORS policies and middleware to ensure secure cross-origin requests and role-level authorization.
  • Finally, I deployed the platform using a distributed deployment model, hosting the frontend on Vercel and the backend on Render, both integrated with GitHub for CI/CD and environment variable management.
  • This internship gave me hands-on experience in MERN stack development, RESTful API design, database modeling, JWT authentication flows, payment gateway integration, and cloud-based media management, while also strengthening my skills in debugging, scalability, and delivering a production-ready full-stack web application.
React.jsNode.jsMongoDBJWT authenticationRESTful APIsRazorpay+4

Education

Dhirubhai Ambani University

Bachelor of Technology - BTech — Information and Communication Technology

Oct 2022May 2026

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