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AI Engineer with 2+ years in Generative AI, NLP, and LLM-based systems with 2.2 Years of experience.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Computer Science student specializing in Generative AI, NLP, and LLM-based systems. Skilled in building RAG pipelines, multi-agent architectures, and intelligent automation using LangChain, FAISS, and Streamlit.
Sage University
B.Tech · Computer Science and Engineering
January 1, 2022 – January 1, 2026
MGM English Medium School, Kalibillod
Class X
January 1, 2019 – January 1, 2019
MGM English Medium School, Kalibillod
Class XII
January 1, 2019 – January 1, 2021
Google for Developers (Eduskills + AICTE)
Android Developer Intern
April 1, 2024 – June 1, 2024
India
Text-to-Math Assistant
January 1, 2025 – Present
Built an AI assistant for step-by-step mathematical problem solving. Reduced manual effort by ~60% using automated reasoning.
Multi-Agent AI Research System with Self-Correcting Feedback Loop and RAG-Based Memory
January 1, 2025 – Present
Designed a multi-agent system (Researcher, Writer, Critic) for iterative reasoning and response refinement. Implemented RAG-based retrieval using FAISS for context-aware knowledge access. Integrated feedback loops to improve response accuracy and consistency. Optimized real-time research and inference using external tools and Groq-powered LLMs.
RAG QnA Chatbot
January 1, 2025 – Present
Developed a document-based chatbot achieving ~90% accuracy using embedding-based retrieval. Built LLM pipelines for real-time, context-aware responses across PDF documents.
Generative AI with LangChain and HuggingFace
KrishAI Technologies
January 1, 2025 – Present
Artificial Intelligence
HP LIFE
January 1, 2025 – Present
Google Android Developer Virtual Internship
AICTE
January 1, 2024 – Present
Patent: AI & NLP-based legal document generation system
India
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in cutting-edge AI domains, aligning well with an AI Engineer role. The diversity of projects (multi-agent systems, RAG chatbots, mathematical assistants) shows a broad application of AI skills. The patent further highlights an innovative and proactive approach, which is a positive indicator for cultural fit in a research-oriented or innovative team. The candidate is still pursuing a B.Tech degree, indicating a strong learning curve and potential for growth.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to design complex systems (multi-agent AI), optimize performance (real-time inference), and deliver functional applications (QnA Chatbot, Text-to-Math Assistant). The patent suggests an innovative mindset. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.