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Vedant Patil

@vedantpatil6

Generative AI / LLM Engineer building end-to-end RAG systems; my IEEE-accepted research reduced hallucinated code output from 50% to 13.3%.

India

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For my IEEE-accepted research, “Hallucination Detection & Prevention in AI Coding Assistants,” I built a dual-stream RAG framework for C++ DSA code generation and a multi-signal verification approach. It reduced hallucination rate from 50.0% to 13.3% on 30 adversarial problems.

I also published a 50,728-row mental-health text dataset to the Hugging Face Hub and fine-tuned a DistilBERT classifier with SHAP/LIME interpretability. At NullClass, I worked as a Data Analyst Intern, using Python, SQL, and Power BI for analysis, visualizations, and dashboards.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

NullClass

Jan 2025 - Feb 2025 (1 month)

Performed data cleaning, exploratory data analysis, and visualization on real-world datasets using Python, SQL, and Power BI to identify trends and generate actionable insights. Built interactive Power BI dashboards and analytical reports to communicate data-driven findings and support business decision-making.

Python SQL Power BI Data Cleaning Exploratory Data Analysis Data Visualization Dashboarding

Education

Degrees, certifications, and relevant coursework

Dr. D. Y. Patil Institute of Technology

Bachelor of Engineering, Computer Engineering

2023 -

Grade: 9.36/10.0 CGPA

Pursuing a Bachelor of Engineering in Computer Engineering with Honors in Data Science, maintaining a CGPA of 9.36/10.0.

Government Polytechnic Nashik

Diploma, Information Technology

2020 - 2023

Grade: 90.63%

Completed a Diploma in Information Technology with a percentage of 90.63%.

Coursera

IBM Data Science Professional Certificate, Data Science

Completed the IBM Data Science Professional Certificate, covering machine learning, deep learning, generative AI, NLP, probability and statistics, and data mining.