AI Engineer with less than a year in MERN, Python, and Generative AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Full Stack AI Engineer with expertise in building intelligent applications using MERN, Python, FastAPI, and Generative AI technologies. Proven ability to develop AI-powered platforms, implement RAG systems, and orchestrate multi-agent pipelines for enhanced efficiency and user experience. Seeking to leverage strong technical skills in AI/ML, web development, and database management to contribute to innovative projects.
VIT BHOPAL UNIVERSITY
Masters of Computer Applications · Computer Applications
August 1, 2024 – June 30, 2026
BIT MESRA,JAIPUR
Bachelor of Computer Applications · Computer Applications
August 1, 2020 – June 30, 2023
Ready4Hire
January 1, 2024 – Present
Helped 10+ beta users reduce interview prep time by 40% through AI-driven mock sessions. Built an AI-powered mock interview platform with role-based level-based question generation using ChatGroq API. Developed resume-based interview system extracts skills from uploaded resumes and generates personalized questions. Engineered real-time communication via Socket.IO for instant question/evaluation updates without page refresh. Designed interactive interview environment with voice recording and Monaco-based coding editor for oral technical rounds. Built AI feedback system delivering automated scoring, detailed insights, and session-based performance tracking.
AskMyNotes
January 1, 2024 – Present
Impact: Processes PDF/TXT documents up to 10MB with sub-second semantic search across 500+ chunks. Implemented a Retrieval-Augmented Generation (RAG) system using LangChain, FAISS vector store, and HuggingFace embeddings for accurate, context-aware answers. Created a microservices architecture with Node.js (backend) and FastAPI (AI service), ensuring scalable and efficient processing of large documents. Integrated real-time streaming responses using Socket.IO, delivering a -ChatGPT-like conversational experience without page refresh. Engineered a multi-user system with secure authentication and file management, enabling users to manage documents and query them independently. Designed automated file ingestion pipeline: text extraction → chunking → embedding generation → vector storage
View ProjectResearchMind
January 1, 2024 – Present
Built an autonomous multi-agent research pipeline with 4 specialized agents Search, Scraper, Writer, and Critic capable of producing end-to-end structured research reports on any topic. Engineered agent orchestration using LangChain with sequential state passing across Search → Scrape → Write → Critique workflow, reducing manual research effort significantly. Developed a real-time Streamlit UI with live pipeline status tracking, showing per-agent progress and streaming results as each agent completes its task. Integrated web search and URL scraping tools into dedicated agents, enabling dynamic content retrieval and deep extraction from the most relevant sources.
View ProjectWeb Development Bootcamp [MERN STACK]
Unknown
April 30, 2026 – Present
Generative AI with Lang Chain
Unknown
April 30, 2026 – Present
No completed technical tests were provided for evaluation.
Limitations
Cultural Fit Analysis
A psychometric test score of 0 raises serious concerns about the candidate's alignment with organizational culture, including aspects like teamwork, problem-solving under pressure, and general work ethic. This score suggests a critical mismatch in foundational behavioral attributes, necessitating further investigation or significant development.
Soft Skills & Operational Fit
Based on a psychometric test score of 0, there are significant concerns regarding the candidate's logical reasoning, work attitude, stress handling, and team collaboration. This indicates a potential lack of fundamental soft skills and operational fit, requiring immediate and substantial remediation.