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AI Engineer with less than a year in AI/ML application 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
Entry-level AI/ML Engineer seeking AI Engineer, Machine Learning Engineer, or Generative AI Engineer roles. Hands-on experience developing AI applications using Python, Machine Learning, NLP, LangChain, LangGraph, LLMS, Retrieval-Augmented Generation (RAG), FastAPI, and Hugging Face. Passionate about building scalable AI solutions that solve real-world business problems.
Sri Venkateswara University
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Acharya Nagarjuna University
Bachelor of Science (Computers)
August 1, 2020 – June 30, 2023
PySpiders
AI/ML Engineer Intern
November 1, 2025 – Present
India
Multi-Agent RAG Assistant
June 1, 2026 – Present
• Built a multi-agent RAG application for answering questions from uploaded PDF and TXT documents. • Designed LangGraph workflows using tool-calling agents for document retrieval, calculations, and reasoning. • Reduced hallucinations using semantic chunking, document-grounded prompting, and conversational memory. • Integrated FAISS vector database for efficient semantic search and context-aware responses.
Sales Data Analysis and Forecasting System
June 1, 2026 – Present
• Cleaned and analyzed sales datasets using Pandas and NumPy. • Performed exploratory data analysis and feature engineering to identify business trends. • Developed regression-based forecasting models using Scikit-learn. • Created visual dashboards to communicate forecasting insights.
Python (Basic)
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in both traditional ML (data analysis, forecasting) and cutting-edge AI (RAG, multi-agent systems), indicating adaptability and a willingness to explore diverse technical areas. The internship at PySpiders and personal projects align well with an AI Engineer role, suggesting a strong intrinsic motivation for the field. However, the overall breadth of experience is limited to academic and internship settings, which might require more structured guidance in a professional team environment.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, teamwork, quick learner, and time management as soft skills. While these are valuable, there is no assessment data to validate them. The project descriptions suggest an ability to work independently on technical tasks.