AI Engineer with less than a year in LLMs, ML, and cloud technologies.
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Raghuvamsh Vangala is an enthusiastic AI Engineer with 11 months of experience in developing and deploying AI-powered applications. Proficient in Python, machine learning, deep learning, and generative AI, with a focus on Large Language Models (LLMs) and vector databases. Experienced in building end-to-end ML pipelines, optimizing prompt performance, and leveraging cloud technologies for scalable solutions. Skilled in creating conversational AI, resume analysis systems, and enterprise-grade AI agents.
Sree Chaitanya Institute of Technological Sciences
Bachelor of Technology · Computer Science and Engineering (AI & ML)
January 1, 2022 – January 1, 2026
Qualizeal
AI Intern
May 1, 2026 – Present
Hyderābād, Telangana, India
Shamgar Software solutions
Machine Learning Intern
October 1, 2025 – May 1, 2026
India
AICTE & IBM Skills Build Edunet Foundation
Artificial Intelligence and cloud Intern
September 1, 2025 – October 1, 2025
India
Enterprise AI Agent
January 1, 2026 – Present
Developed an enterprise-grade AI agent using LangChain, LangGraph, and LLMs, enabling multi-step reasoning, workflow orchestration, and intelligent task automation. Implemented a Retrieval-Augmented Generation (RAG) pipeline with vector databases for semantic search, improving response accuracy and grounding outputs in organizational knowledge sources. Built and deployed scalable APIs using FastAPI, containerized applications with Docker, and managed version control with Git, ensuring reliable and production-ready AI solutions.
LLM-Powered Conversational Chatbot
January 1, 2026 – Present
Developed an LLM-powered conversational chatbot capable of generating context-aware and natural language responses. Applied prompt engineering techniques and integrated external APIs to enhance response quality and functionality.
AI Resume Analyzer & Career Guidance System
January 1, 2026 – Present
Developed an AI-powered platform that analyzes resumes, identifies skill gaps, and provides personalized career guidance and improvement recommendations. Integrated Llama 3 via the Groq API to generate ATS-style feedback, resume insights, and role-based career suggestions.
SQL (Basic)
HackerRank
June 1, 2026 – Present
SQL (Intermediate)
HackerRank
June 1, 2026 – Present
AI & Cloud Internship
AICTE-IBM SkillsBuild
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an enterprise AI agent, a conversational chatbot, and a resume analyzer, indicates a broad interest in applying AI across different domains. Their internships at Qualizeal, Shamgar Software Solutions, and AICTE & IBM Skills Build Edunet Foundation show a willingness to gain varied industry exposure. The focus on AI/ML in their education and practical experience aligns strongly with an AI Engineer role, suggesting a good cultural fit for an innovation-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI technologies through diverse personal projects and internships. Their experience in building end-to-end ML pipelines and deploying scalable solutions suggests a good operational fit for roles requiring practical implementation. The focus on RAG and LLM applications aligns well with modern AI engineering demands. However, the resume does not provide explicit details on collaboration or problem-solving methodologies, which are key soft skills.