Pooja Yadav
Pooja Yadav

Aspiring AI Engineer

Actively looking · Member since 19 Oct 2026
Location
Hyderabad, India
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Junior

About

Professional summary

I am an aspiring AI Engineer focused on building autonomous AI workflows, intelligent automation systems, and LLM-powered applications.

I work with Python, machine learning, deep learning, APIs, and automation frameworks to create practical AI solutions. My experience includes integrating LLMs, developing RAG pipelines, and connecting services through REST APIs, JSON, and webhooks.

During my AI internship, I have contributed to an AI-driven technical-answer evaluation engine and assisted with LLM-based agentic workflows. I have also worked on machine learning and computer vision solutions using TensorFlow and Streamlit.

I have built projects including a loan document verification system, an AI-powered Python learning assistant, and a coding assessment platform. These projects involved multi-agent AI pipelines, document processing, vector search, code evaluation, and AI-assisted debugging.

I am comfortable working with LangChain, OpenAI APIs, Hugging Face, PostgreSQL, MySQL, ChromaDB, Pinecone, FastAPI, Flask, Git, and Docker. I bring strong communication, teamwork, and problem-solving skills to AI engineering work.

Skills

23 capabilities

Tech stack & tools

Working toolkit

Data Stores

Languages & Frameworks

Libraries

Experience

Career history

AI Intern Kapil IT Skill Hub

I developed an AI-driven evaluation engine for scoring open-ended technical answers against model solutions, helping improve grading consistency and evaluation speed. I also worked on deploying LLM-based solutions to streamline agentic workflows and improve LLM output evaluation accuracy.

I assisted with the development and implementation of machine learning and computer vision solutions using Python, TensorFlow, and Streamlit. My work included feature engineering, data analysis, and support for machine learning and deep learning applications.

Education

Learning history

Swami Ramanand Teerth Marathwada University

Master of Computer Applications, Computer Applications

Completed Master of Computer Applications (MCA) with 73%.

Lal Bahadur Shastri Mahavidyalaya

Bachelor of Science, Computer Science

Completed Bachelor of Science in Computer Science with 75%.

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