Open to opportunities

Pratul Pandey

@pratulpandey

Message

I build AI and data solutions using Python, RAG, and LLMs.

India

Message

What I'm looking for

I'm looking for opportunities to build practical AI, machine learning, and data solutions, especially RAG and LLM applications, while growing through hands-on product work and collaborative engineering teams.

At Cognizant, I conduct exploratory data analysis with Python and SQL and build RAG prototypes using LangChain and LLMs to improve document search accuracy and query handling. I also automated data transfers with Globalscape MFT and EDI, increasing process efficiency by 25% and reducing manual errors by 15%.

I've built AI products including a Slack support agent using RAG, LangChain, PostgreSQL, vector search, Slack API, and Docker, along with a voice-controlled personal assistant powered by Gemini API and Streamlit. My lane-detection project reached 92% accuracy using OpenCV, edge detection, and ROI masking.

During internships at Innomatics Research Labs and Amazon ML Summer School, I improved feature-engineering efficiency, helped optimize inference performance, and automated Python debugging with Gemini and OpenAI APIs. I bring hands-on experience across data analysis, machine learning, LLMs, retrieval workflows, and deployment tools.

Experience

Work history, roles, and key accomplishments

Current

Programmer Analyst Trainee

Current

Cognizant

Jun 2025 - Present (1 year 2 months)

Conducted EDA on large datasets using Python and SQL to find trends and support data-driven decision-making. Built a RAG prototype using LangChain and LLMs, and automated data transfers using MFT and EDI, increasing process efficiency by 25% and reducing manual errors by 15%.

Python SQL EDA Lang Chain LLM RAG MFT EDI