Prathamesh Kurekar

AI/ML Engineer | Deep Learning Specialist

Nagpur, IN.

About

Highly motivated and results-driven AI/ML Engineer with a B.Tech. in Computer Science and Engineering, specializing in Deep Learning and Natural Language Processing. Proven ability to design and implement end-to-end intelligent systems, including multimodal policy processing pipelines, real-time object detection for optimization, and AI-powered recommendation engines. Leverages strong programming skills in Python, Java, and C/C++ to develop innovative solutions and drive efficiency across diverse technical challenges.

Education

Shri Ramdeobaba College Of Engineering and Management

Nagpur, Maharashtra, India
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B.Tech. Computer Science and Engineering [AIML] Grade: CGPA: 8.46

Courses

Object Oriented Programming

Databases

Discrete Maths

Data Structures and Algorithms

Operating Systems

Computer Networks

Machine Learning

Data Mining

Advance Data Structures and Algorithms

Information Retrieval

Image Processing

Dr. Ambedkar College

Nagpur, Maharashtra, India
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High School Diploma Higher Secondary Education Grade:

Courses

Mathematics

Logical Circuits

Registers and Flip Flops

Combinational Circuits

Computer Fundamentals

Awards

19th Rank in VIT Devshouse Hackathon

VIT Devshouse Hackathon

Achieved 19th rank among top 60 teams in a prestigious hackathon, showcasing exceptional development and innovative solution design capabilities.

Runner-up, AI Hackathon (Submission Round)

VNIT Nagpur

Recognized as a runner-up in a competitive AI Hackathon, demonstrating strong problem-solving and technical implementation skills.

LeetCode Highest Rating (1631)

LeetCode

Solved over 300 problems on LeetCode with a highest rating of 1631, demonstrating advanced proficiency in algorithms and data structures.

Languages

English

Hindi

Marathi

Certificates

Machine Learning and Deep Learning Specialization

Coursera

Skills

Programming Languages

C/C++, Java, Python, JavaScript, HTML, CSS, SQL.

AI & Machine Learning

AI, Machine Learning, Deep Learning, PyTorch, OpenCV, Hugging Face, Computer Vision, TensorFlow/Keras, scikit-learn, NLP, RAG, OCR.

Databases & Data Tools

MongoDB, Power BI/Tableau, Excel/CSV.

Operating Systems & Platforms

Windows, Linux, Google Colab, Streamlit.

Frontend Development

HTML5, CSS3, JavaScript.

AI Chatbot APIs

ChatGPT, Dialogflow, Custom NLP Models.

Projects

Policy Simplifier

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Summary

An end-to-end multimodal policy processing pipeline designed to automate the extraction, normalization, and summarization of policy documents for enhanced NLP tasks.

Smart Elevator System

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Summary

A real-time object detection system for elevators designed to optimize energy usage and reduce passenger wait times by intelligently skipping redundant stops.

BeautyHub

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Summary

An AI-powered recommendation platform designed to simplify and personalize beauty product discovery, enhancing user engagement and purchasing decisions.

Prathamesh Kurekar