AI Engineer with less than a year in RAG systems, LLMs, and Full Stack Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven AI Engineer with a strong academic background in Computer Applications and extensive experience in developing intelligent AI systems. Proficient in RAG, LLMs, Python, and Full Stack development, with a proven ability to design and integrate complex AI agents, optimize performance, and deliver robust solutions. Eager to apply my skills in innovative projects and contribute to cutting-edge technology.
International Institute of Professional Studies
Master of Computer Application
August 1, 2022 – June 30, 2024
International Institute of Professional Studies
Bachelor of Computer Application
August 1, 2019 – June 30, 2022
St Pius Higher Secondary School
Senior Secondary School
June 1, 2018 – May 31, 2019
St Pius Higher Secondary School
Higher Secondary School
June 1, 2016 – May 31, 2017
CodeTech IT Solutions
Full Stack Develpoment
June 1, 2026 – June 1, 2026
India
AI Resume Analyzer
June 1, 2026 – Present
Developed an AI-powered Resume Analyzer that evaluates resumes and provides ATS-friendly suggestions, keyword optimization, and job-role match analysis. Implemented LLM-based text analysis using OpenAI/Gemini to generate improvement suggestions, skill gap reports, and professional summaries. Designed a scoring system that delivers an ATS score, keyword density analysis, and matching percentage for targeted job roles.
AI Multi-Agent System using RAG & LangChain
June 1, 2026 – Present
Developed an intelligent AI Multi-Agent System using LangChain and Retrieval-Augmented Generation (RAG) architecture to automate research, information retrieval, and response generation workflows. Designed and integrated multiple AI agents with specialized responsibilities such as document retrieval, web research, content summarization, and response generation for improved task accuracy and modularity. Built scalable pipelines using LLMs, embeddings, prompt engineering, and memory management to deliver context-aware and accurate responses. Integrated tools like web search, document loaders, and URL scraping to enhance real-time data accessibility and knowledge retrieval.
FULL STACK WEB DEVELOPMENT
Unknown
June 1, 2026 – Present
WEB DEVELOPMENT (MERN STACK)
Unknown
June 1, 2026 – Present
SOFTWARE DEVELOPMENT BY MICROSOFT AND LINKEDIN
Microsoft and LinkedIn
June 1, 2026 – Present
INTERNSHIP CERTIFICATE
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and initiative in AI/ML, aligning well with an innovative and technically driven culture. The full-stack internship shows a willingness to learn and contribute across different parts of the development stack. The diversity of projects (AI systems, resume analysis, full-stack development) suggests adaptability and a broad technical curiosity, which can contribute positively to team dynamics.
Soft Skills & Operational Fit
The candidate lists 'Quick Learner', 'Adaptability', and 'Positive Attitude' as soft skills. These are beneficial for an AI Engineer role, which often involves rapidly evolving technologies and problem-solving. The project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good operational fit for project-based work.