Dhruv Yadav

AI/ML Engineer | Deep Learning & NLP Specialist
Jalandhar, IN.

About

Highly motivated and results-driven AI/ML Engineer with a strong academic foundation in Instrumentation & Control Engineering and practical expertise in deep learning, natural language processing, and full-stack development. Proven ability to design, implement, and optimize AI-powered solutions, demonstrated through impactful projects in Retrieval-Augmented Generation (RAG) systems, BERT fine-tuning, and intelligent chatbot development. Adept at leveraging Python, PyTorch, and GenAI tools to drive innovation and solve complex technical challenges. Committed to continuous learning and achieving high-impact results in dynamic environments.

Work

Webkype
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Machine Learning Engineer Intern

Summary

Contributed to the development of AI-powered applications, focusing on enhancing personalized communication and data extraction.

Highlights

Engineered an AI-powered Retrieval-Augmented Generation (RAG) application to automate the creation of professional, personalized emails based on job descriptions and user project history.

Acquired practical expertise in cutting-edge AI frameworks and libraries, including LangChain and Streamlit, to build interactive and scalable applications.

Integrated ChromaDB for advanced semantic similarity search, optimizing the matching of job descriptions with user experience profiles.

Designed and deployed robust web scraping pipelines to extract real-time job data from live listings.

Fine-tuned Large Language Model (LLM) prompts to generate structured, human-like email content, significantly improving communication quality.

Education

Dr. BR Ambedkar National Institute of Technology (NIT) Jalandhar

Bachelor of Technology (B.Tech)

Instrumentation & Control Engineering

Grade: 7.64/10 CGPA

Awards

LeetCode Max Rating

Awarded By

LeetCode

Achieved a maximum rating of 1885 on LeetCode, demonstrating strong algorithmic and problem-solving skills, with over 600 problems solved and a 'Knight' level status.

Global Rank in Biweekly Contest 134

Awarded By

LeetCode

Secured a Global Rank of 635 in LeetCode Biweekly Contest 134, showcasing competitive programming prowess and efficiency.

Languages

English

Fluent

Hindi

Native

Skills

Programming Languages

Python, SQL, C, C++.

Libraries/Frameworks

PyTorch, Flask, TensorFlow, Scikit-Learn, Matplotlib, NumPy, Pandas, OpenCV, Streamlit.

Generative AI Tools

LangChain, ChromaDB, FAISS, HuggingFace, LLaMA.

Tools & Utilities

Git, GitHub, Google Colab, MySQL, VSCode, PyCharm, Jupyter, Kaggle.

Projects

Digitalisation of Lab Using QR Codes & Integrated AI Chatbot

Summary

Developed and deployed an intelligent system to digitalize lab manuals and provide AI-driven assistance for students.

Fine-Tuning BERT for URL Classification with Distillation & Quantization

Summary

Optimized BERT for efficient URL classification through advanced model compression techniques.

Paper and Architecture Implementations from Scratch

Summary

Explored and implemented foundational and advanced machine learning and deep learning architectures from academic research papers.