ARADHYA TIWARI

AI Engineer with less than a year in Fullstack and Generative AI development.

Vellore Institute of Technology

Tamil Nadu, India

Since April 22, 2026

About

Highly motivated Computer Science Engineering student specializing in Data Science with 4 months of experience as an SDE and Generative AI Intern. Proficient in building RESTful APIs, developing React components, and leveraging Generative AI/LLM for solutions. Skilled in Python, Node.js, MongoDB, AWS, and various AI/ML techniques. Actively involved in organizing technical workshops and collaborative projects, demonstrating leadership and strong problem-solving abilities.

Top Skills

PythonExpressNode.JsMongoDB

Skills

JavaJavaScriptPythonSQLMysqlMongoDBVector DatabasesPostgresreactNode.JsExpressGitGithubDockerKubernetesAWSPostmanCiCdSystem DesignDevOpsMachine LearningDeep LearningGenaiLeadershipRagLangchainPineconeFastapiLlmsNlpNext.JsRest ApiPrompt Engineering

Education

Vellore Institute of Technology

B.Tech · Computer Science Engineering with specialization in Data Science

August 1, 2022 – June 30, 2026

Experience

IBM (Watson X)

Generative Al Intern

June 1, 2025 – July 31, 2025

Glyde (Kodding Technologies)

SDE Engineer Intern

May 1, 2025 – June 30, 2025

Projects

DiagnoSense AI - Retrieval-Augmented Diagnosis System

April 1, 2026 – Present

Developed a diagnostic healthcare platform with Python backend FastAPI & MongoDB, RAG platform (sentence-transformers), improving disease differentiation & reducing misdiagnosis by 20% using DDXPlus, CPDD datasets. Structured the reasoning workflows with knowledge-base-driven retrieval and generation in Python, achieving an 18-27% accuracy improvement compared to baseline RAG implementations.

Waitless - Virtual Queue Management App

April 1, 2026 – Present

Built a prototype virtual queue management platform with Node.js, Express, and Next.js, combining MongoDB and Firebase to handle data while enabling real-time queue updates via WebSockets for a seamless live experience. Designed the backend to make the system feel intelligent and reliable, implementing wait-time estimation logic based on queue patterns along with JWT authentication, rate limiting, and structured REST APIs for secure, scalable performance.

Eagle View - Stock Market App AI

April 1, 2026 – Present

Built a real-time stock market dashboard to display live prices and insights with low latency. Deployed the application on AWS to ensure scalability and reliability. Developed a RAG-based system using LLMs and NLP to provide smarter, data-driven insights.

Certifications

CERTIFICATE

IBM (Watson X)

April 1, 2026 – Present

IBM-GENAI

Unknown

April 1, 2026 – Present

CERTIFICATE

Glyde (Kodding Technologies)

April 1, 2026 – Present

100xDevs – FullStack & Devops

Unknown

April 1, 2026 – Present

Key Strengths

Strong academic background with a B.Tech in Computer Science Engineering specializing in Data Science, indicating foundational knowledge relevant to AI.
Demonstrated interest and foundational understanding in AI/ML through academic projects, specifically in Retrieval-Augmented Generation (RAG) systems, LLMs, and NLP.
Project experience with relevant technologies such as Python, FastAPI, MongoDB, Node.js, and an understanding of system design principles like REST APIs and real-time updates.
Target role (AI Engineer) aligns with the candidate's academic specialization and project focus on AI/ML applications.

Cultural & Operational Fit

Cultural Fit Analysis

A psychometric test score of 0 suggests a severe lack of alignment with typical organizational cultural expectations regarding work ethic, collaboration, and resilience. This is a critical concern for cultural integration.

Soft Skills & Operational Fit

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