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AI Engineer with less than a year in Generative AI, RAG & Python
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer and Python Developer with hands-on experience in building intelligent AI systems using Generative AI, Machine Learning, and Retrieval-Augmented Generation (RAG). Skilled in developing real-world AI applications using Python, LangChain, OpenAI APIs, vector databases, and semantic search techniques. Experienced in building conversational AI assistants, automation workflows, and data-driven solutions integrating LLM reasoning, SQL querying, and scalable data pipelines.
Kakinada Institute of Engineering and Technology-2
B.Tech · Computer Science (Data Science)
August 1, 2021 – June 30, 2025
HR AI Assistant (MCP Server + Agentic AI)
June 21, 2026 – Present
Developed an intelligent HR assistant using Agentic AI to automate employee queries and HR workflows. Built and integrated an MCP server enabling structured communication between LLMs, tools, and external systems. Designed a RAG-based system with multi-step reasoning agents for accurate policy retrieval and employee data handling. Automated employee onboarding workflows by generating unique employee IDs, mapping manager hierarchies, and streamlining employee record management.
Real Estate AI Assistant (RAG System)
June 21, 2026 – Present
Built a domain-specific AI assistant using RAG architecture to answer real estate queries with contextual accuracy. Implemented document ingestion, semantic chunking, and vector embeddings for efficient information retrieval. Reduced hallucination by grounding LLM responses using relevant property datasets. Enabled intelligent property recommendations using semantic search and contextual LLM responses.
Human Pose Estimation Web Application
June 21, 2026 – Present
Developed a real-time pose estimation system using MediaPipe and OpenCV to detect body landmarks. Integrated PyTorch models for pose classification and activity recognition. Built an interactive web interface to visualize pose data with optimized real-time performance. Improved activity tracking accuracy using pose classification for motion analysis applications.
Machine Learning with Python
IIIT Hyderabad
June 1, 2026 – Present
AICTE Data Analytics Internship
AICTE
June 1, 2026 – Present
GenAI and Agentic AI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and hands-on experience in AI/ML, aligning well with an AI Engineer role. The diversity of projects (HR assistant, Real Estate assistant, Pose Estimation) shows adaptability and a broad application of AI concepts. The certifications in Machine Learning and GenAI further support a dedicated pursuit of AI skills. The lack of professional experience means cultural fit is primarily assessed on academic engagement and project alignment.
Soft Skills & Operational Fit
The candidate's role as a Class Representative suggests good communication and organizational skills. The hackathon achievement indicates problem-solving abilities and a competitive spirit. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.