Prabha M

AI Engineer

https://www.opentalent.in/prabha-m

AI Engineer with less than a year in LLMs, RAG, and Deep Learning.

Iagami Technologies

Key Strengths

Strong foundational knowledge in AI/ML concepts, including Deep Learning, RAG, Prompt Engineering, and LLMs.
Practical experience with AI agent development using LangGraph and integrating various LLMs (Groq Llama 3.1, Gemini).
Demonstrated ability to build RAG-based systems, focusing on semantic search, retrieval pipelines, and hallucination reduction.
Proficiency in key AI/ML tools and libraries such as scikit-learn, Pandas, NumPy, LangChain, LangGraph, and LiteLLM.
Experience with full-stack AI application development, including front-end (Streamlit) and database integration (SQLite).
Relevant internship experience at Iagami Technologies working on AI-driven Digital Twin projects and scalable AI workflows.

Cultural & Operational Fit

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.

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Projects

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

Certifications

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

Key Strengths

Strong foundational knowledge in AI/ML concepts, including Deep Learning, RAG, Prompt Engineering, and LLMs.
Practical experience with AI agent development using LangGraph and integrating various LLMs (Groq Llama 3.1, Gemini).
Demonstrated ability to build RAG-based systems, focusing on semantic search, retrieval pipelines, and hallucination reduction.
Proficiency in key AI/ML tools and libraries such as scikit-learn, Pandas, NumPy, LangChain, LangGraph, and LiteLLM.
Experience with full-stack AI application development, including front-end (Streamlit) and database integration (SQLite).
Relevant internship experience at Iagami Technologies working on AI-driven Digital Twin projects and scalable AI workflows.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Prabha M

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Projects

Certifications

Key Strengths

Cultural & Operational Fit