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AI Engineer with less than a year in Generative AI, Machine Learning, and NLP.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and Data Science Graduate with hands-on experience in Generative AI, Machine Learning, NLP, LLMs, and RAG. Skilled in Python, TensorFlow, PyTorch, Scikit-learn, prompt engineering, and AI application development. Experience building multi-agent and LLM-powered solutions with a strong foundation in machine learning, model evaluation, and problem solving.
Knowledge Institute of Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Wings Technocrats
AI Engineering Intern
August 1, 2023 – September 30, 2023
Salem, Tamil Nadu, India
Imagecon
Machine Learning Intern
June 1, 2023 – July 31, 2023
Salem, Tamil Nadu, India
MedInsight AI – Intelligent Medical Report Analysis Agent
June 1, 2026 – Present
Engineered an AI-powered medical report analysis system using a dual-agent architecture an Analysis Agent for automated blood test PDF interpretation and a Chat Agent powered by RAG for contextual follow-up Q&A. Integrated multi-model LLM fallback via Groq to ensure high reliability, accurate health insight generation, and consistent performance across diverse report formats.
Intelligent Document Retrieval and Querying System
June 1, 2026 – Present
Built an AI-powered document intelligence platform using Streamlit, Llama-3.3-70B-Instruct, and OpenRouter with a Retrieval-Augmented Generation (RAG) pipeline. Enabled natural language querying, real-time semantic indexing, and contextual response generation over uploaded Excel and CSV datasets, delivering an intelligent document exploration experience.
Machine Learning and Deep Learning
GUVI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong interest in cutting-edge AI technologies like RAG and multi-agent systems, aligning well with an innovative AI engineering culture. The diversity of projects (medical report analysis, document querying, research assistant, face recognition) indicates a broad interest and ability to apply AI across different domains. Their academic background in AI and Data Science further supports a good cultural fit for a technically driven AI role.
Soft Skills & Operational Fit
The candidate demonstrates initiative and problem-solving skills through their project work, particularly in designing multi-agent architectures and optimizing pipelines. Their ability to integrate various tools and APIs suggests adaptability. However, without specific psychometric or communication test results, it's difficult to assess stress handling, team collaboration, or professional communication clarity beyond what's presented in the resume.