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AI Engineer with 1+ years in real-time applications and debugging platforms.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Rishabh Yadav is an aspiring Full Stack AI/MERN Engineer with a strong foundation in JavaScript, Java, and C++. He has practical experience developing real-time conversational chatbots, travel recommendation platforms, and AI-powered debugging tools. With a focus on MERN stack and AI/ML technologies, Rishabh is adept at building responsive applications, integrating APIs, and implementing intelligent solutions for complex problems. He is actively seeking roles that leverage his skills in full-stack development and artificial intelligence.
ABES Engineering College, Ghaziabad
B.Tech · CSE-AIML
August 1, 2023 – June 30, 2027
The Jain World School, Kanpur
Senior Secondary · CBSE
June 1, 2021 – May 31, 2022
The Jain World School, Kanpur
Matriculate · CBSE
June 1, 2019 – May 31, 2020
GeeksForGeeks
Technical Coordinator
December 1, 2024 – December 1, 2025
Ghāziābād, Uttar Pradesh, India
Ardema
Social Media Manager
December 1, 2024 – March 1, 2025
Ghāziābād, Uttar Pradesh, India
Agentic AI Debugger
June 1, 2025 – Present
AI-powered autonomous debugging platform for detecting, analyzing, and suggesting code fixes Developing an intelligent debugging system using AST-based code parsing for structural analysis. Integrating LLM-powered agents to detect logical/code issues and generate contextual fix suggestions.
View ProjectAI ChatBot
June 1, 2025 – Present
Full-stack chatbot application with real-time conversational response handling using MERN stack Implemented RESTful APIs and integrated MongoDB for persistent user/chat data storage. Built responsive React frontend with seamless backend communication and state management.
View ProjectSmartSafar - Travel Recommendation Platform
June 1, 2025 – Present
Travel recommendation platform with live weather, air quality, cost, and eco-travel insights Integrated multiple third-party APIs for real-time travel and environmental data aggregation. Designed responsive UI optimized for accessibility and cross-device compatibility.
View ProjectSoftware Engineering Job Simulation
JPMorgan
June 1, 2026 – Present
Google Gen AI Study
Bhagwan Parshuram Institute of Technology
June 1, 2026 – Present
Mission UpSkill India Techfest
HCL-GUVI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a focus on AI/ML applications, which aligns well with an AI Engineer role. Participation in extracurriculars like 'AI Impact Summit-Volunteering' and 'Technical Coordinator' at GeeksForGeeks suggests a proactive and collaborative mindset. The breadth of technologies used across projects indicates adaptability and a willingness to learn diverse tools. However, the experience is primarily academic, and the professional roles listed are not directly technical, limiting the assessment of cultural fit in a professional engineering environment.
Soft Skills & Operational Fit
The candidate lists 'Problem Solving', 'Team Collaboration', and 'Communication' as soft skills. Project descriptions suggest some level of problem-solving and integration work. However, without specific examples or behavioral assessments, the depth of these skills and their operational fit cannot be fully determined.