AI Engineer with less than a year in Agentic AI Systems & RAG Pipelines
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Developer with hands-on experience in building agentic AI systems, RAG pipelines, backend APIs, and AI-powered applications. Skilled in Python, FastAPI, LangChain, LangGraph, and modern AI development frameworks. Passionate about developing scalable AI solutions and continuously exploring emerging technologies in Generative AI.
Pacific School of Engineering
B.E. Computer Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
Samrat International School
12th Grade
N/A – May 31, 2022
Samrat International School
10th Grade
N/A – May 31, 2020
BVM Infotech
Python AI/ML Intern
September 1, 2025 – March 1, 2026
India
Sparks To Ideas
AI/ML Intern
February 1, 2025 – March 1, 2025
India
AI Browser Agent
June 24, 2026 – Present
Built an autonomous AI agent using LangGraph, Playwright, and Groq LLM that executes web-based tasks, navigates websites, and extracts information from natural language instructions.
Feelify
June 24, 2026 – Present
Real-time music website using facial emotion detection (OpenCV, TensorFlow) to generate mood-based playlists via Streamlit.
DocMind
June 24, 2026 – Present
Developed an AI-powered document intelligence platform enabling conversational Q&A over PDFs using FastAPI, vector embeddings, and Retrieval-Augmented Generation.
SAP Certification – Code Unnati Program
Edunet Foundation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in diverse personal projects (AI Browser Agent, Feelify, DocMind) and internships demonstrates initiative and a passion for AI/ML, aligning well with an innovative and growth-oriented culture. The focus on practical application of AI technologies suggests a results-driven mindset. However, the limited professional experience means there's less data to assess long-term team collaboration or adaptability in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest a proactive and hands-on approach to problem-solving. The diversity of projects indicates an ability to work across different AI/ML domains. However, with limited professional experience, the ability to handle complex operational challenges or lead large-scale projects is yet to be fully demonstrated. The candidate is still pursuing a bachelor's degree, which implies a strong learning curve and potential for growth.