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AI Engineer with less than a year in LLMs, RAG, and Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI Developer skilled in LLMS, RAG systems, AI agents, and machine learning with a passion for building scalable AI-driven solutions.
Saranathan College of Engineering, Trichy
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Iagami Technologies
AI Intern
February 1, 2026 – May 31, 2026
India
WorkElate AI Agent
January 1, 2026 – Present
• Built an AI workflow agent using LangGraph for intelligent task execution and planning • Integrated Groq Llama 3.1, SQLite memory, and Streamlit for persistent workflows • Enabled real-time workflow automation with dynamic execution capabilities
Multi-Modal Document Intelligence
January 1, 2026 – Present
• Developed a RAG-based document QA system using semantic search and retrieval pipelines • Improved retrieval relevance through optimized chunking strategies and embeddings • Reduced hallucinations using contextual document retrieval
AI Resume Screening System
January 1, 2026 – Present
• Built a resume ranking system using cosine similarity and Gemini embeddings • Extracted PDF content and matched resumes with job descriptions automatically • Developed an interface highlighting top candidates and relevant technical skills
Google Data Analytics
Coursera
June 1, 2026 – Present
Data Analytics with Python
NPTEL
June 1, 2026 – Present
Java Gold Badge
HackerRank
June 1, 2026 – Present
SQL Intermediate
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive and self-driven approach to learning and applying AI technologies, which aligns well with an innovative and fast-paced AI development environment. The diversity of projects (AI agents, RAG systems, resume screening) shows a broad interest in AI applications. The certifications in various technical areas (Data Analytics, Python, SQL, Java) indicate a commitment to continuous learning. However, the candidate is still pursuing their bachelor's degree, which might imply a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-component systems, suggesting good problem-solving and integration skills. The internship experience highlights collaboration on scalable AI workflows. However, without specific assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.