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AI Engineer with less than a year in Computer Vision & LLM APIs
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AI Developer with hands-on experience building end-to-end AI-powered applications using Python, LLM APIs, and modern backend frameworks. Skilled in designing scalable systems with RAG pipelines, agentic workflows, and automation tools. Passionate about applying AI to solve real-world problems in networking and enterprise infrastructure.
Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Rubixe AI Solutions Company
AI Intern - Computer Vision
October 1, 2025 – Present
Bengaluru, Karnataka, India
Indian Institute of Information Technology, Design and Manufacturing, Kurnool
Deep Learning Intern
May 1, 2025 – August 1, 2025
Kurnool, Andhra Pradesh, India
AI-Powered LinkedIn Content Automation
January 1, 2025 – June 1, 2026
Developed an automated content generation system using Make.com and Groq LLM API to convert YouTube live transcripts into meaningful insights. Implemented LLM-based analysis and topic segmentation to generate multiple LinkedIn post ideas and ready-to-publish drafts. Designed an end-to-end workflow that enables user-driven selection and significantly reduces manual content creation effort.
View ProjectSocial to Lead Agentic AI System
January 1, 2025 – June 1, 2026
Built a stateful conversational AI using LangGraph and RAG to handle pricing queries, detect high-intent users, and convert conversations into qualified business leads. Implemented intent classification, multi-turn lead qualification, and safe backend tool execution with a FastAPI-based chat interface.
View ProjectAI-Based Smart Job Recommendation and Notification System
January 1, 2025 – June 1, 2026
Automated an AI-based job recommendation system that analyzes resumes and recommends relevant jobs using NLP and Ollama LLM. Implemented resume parsing, ATS score analysis, skill extraction, semantic job matching using FAISS, and automated email notifications for new job opportunities. Integrated APIs to fetch real-time job listings and built the application using Streamlit.
View ProjectInverse Cooking - Image-to-Recipe AI
January 1, 2025 – June 1, 2026
Designed an AI system that predicts ingredients from food images using a CNN (ResNet - 18) and generates complete recipes using GPT - based NLP models. Integrated the entire pipeline into a Flask web application for real time image upload and recipe generation.
Deep Learning Internship
IIITDM Kurnool
May 1, 2025 – Present
Building Systems with the ChatGPT API
Coursera
January 1, 2025 – Present
Generative AI in Action
IBM SkillsBuild
January 1, 2025 – Present
AWS Academy Cloud Foundations
Amazon Web Services
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering NLP for job recommendations, conversational AI for lead generation, content automation, and image-to-recipe generation. This breadth, combined with internships in Computer Vision and Deep Learning, aligns well with the dynamic and evolving nature of an AI Engineer role. The use of various modern AI tools and frameworks (LangChain, LangGraph, RAG, LLMs) indicates a strong interest in staying current with industry trends. The personal projects demonstrate initiative and a passion for applying AI to real-world problems, which is a good cultural fit for an innovative AI team. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving approach, focusing on automating tasks and building practical AI solutions. The diversity of projects suggests adaptability and a willingness to explore different AI domains. The current internship in Computer Vision and previous Deep Learning internship demonstrate a commitment to continuous learning and practical application of skills. However, without specific psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.