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Machine Learning Engineer !
Hi, I'm Dipesh Paul. A passionate Machine Learning Engineer building intelligent solutions with AI and Machine Learning.
Building
intelligent systems
with AI.
Developing production-grade AI solutions, from LLM-powered applications to computer vision systems that solve real-world problems.
From
research to production
Turning cutting-edge ML research into scalable products. Specializing in LLMs, GenAI, and MLOps for enterprise-grade deployments.
Ready to see more?
Scroll down to explore my portfolio
About Me
Hi, I'm Dipesh Paul. A passionate Machine Learning Engineer based in India
I am a Machine Learning Engineer with a passion for developing intelligent solutions. I have expertise in LLM, GenAI, Python, TensorFlow, Data Science, and various ML frameworks, and am always eager to learn new technologies and skills to improve my craft.
My goal is to create AI applications that not only perform well technically, but are user-friendly and solve real-world problems. I specialize in deep learning, computer vision, and natural language processing to create innovative applications.
I am outgoing, dedicated, and open-minded. I adapt to changes easily and believe in continuous learning and professional development. Currently, I am looking for new opportunities to apply my machine learning expertise to challenging problems.
Experience
Machine Learning Engineer
Systango
Working as a Machine Learning Engineer, focusing on implementing cutting-edge AI solutions and machine learning models.
Machine Learning Engineer
Zdaly
Worked as a Machine Learning Engineer with expertise in Python, TensorFlow, Scikit-learn, Pandas, Transformers, and other ML frameworks.
Data Scientist
Great Software Laboratory (GS Lab)
Worked as a Machine Learning Engineer with extensive experience in Python and frameworks like FastAPI, Django, TensorFlow, etc.
Data Scientist
Calsoft Private Limited
Implemented machine learning solutions and data analysis pipelines for various client projects.
Data Scientist Intern
Calsoft Private Limited
Completed a 6-month internship in Machine Learning, gaining practical experience in data analysis and model development.
Featured Projects
WhoHire – AI-Driven Resume Screening & Smart Interview Automation
An automated hiring workflow where resumes are parsed using AI, candidates receive SMS-based confirmations, and an AI interview agent handles screening questions with reminders and stage-based progress tracking. Reduced screening time by 70%, automated candidate engagement, and increased participation by 2.4x.
Multi-Agent Procurement Agent
Developed a Multi-Agent platform that streamlines procurement processes for various goods and services based on customer requirements. Created multiple portals with LLM-powered chatbots that provide support, order analysis, visual data representations, and more. The system intelligently collects user requirements and forwards requests to appropriate vendors.
Automated Customer Support LLM Powered
Engineered an AI-powered customer support system that intelligently connects customers to specialized bots and agents, providing 24/7 query resolution and support.
LLM Powered Productivity Bot
Built a comprehensive platform allowing users to connect and sync data from various applications like Gmail, Calendar, and Outlook. Using embedding models and similarity search, the system delivers actionable insights, recommendations, and cross-app search capabilities.
LLM Chat Suggestion
Developed an intelligent chat suggestion system that analyzes ongoing conversations and offers contextually relevant message suggestions to users, enhancing communication efficiency.
Product Chat Agent
Created an advanced chatbot that leverages large language models to provide detailed product information and streamline purchase processes based on natural language user prompts.
Price Analysis with Scraping
Built a comprehensive price analysis system that scrapes data from global E-commerce and OEM websites to inform pricing strategies for computing devices. Implemented machine learning models for accurate price prediction.
Automation of Virtualization
Developed a PaaS tool that automates virtualization solutions, enabling customers to effortlessly create virtual machines and deploy applications. The platform includes robust monitoring, troubleshooting capabilities, and AI-based price prediction.
Ticket Analyzer
Automated ticketing processes using advanced machine learning techniques. Utilized NLP and Wikipedia-trained ULMfit Fastai models to analyze tickets and intelligently determine appropriate assignees.
Oil Price Prediction
Analyzed market growth in refineries and stock markets by processing user reviews, sentiments, and comments. Implemented sophisticated models using Fastai and Keras with Facebook's Roberta, LSTM, and ULMFit for accurate predictions.
Avatar Generator
Built an avatar generation system for portfolio faces, trained on a dataset of approximately 143,000 human and cartoon images. Implemented various neural network architectures including Deep Convolutional GANs (Style GAN), CNN, and UNet.
Steel Defect Detection
Developed an automation solution for detecting defects in steel sheets using machine learning, enhancing quality control in steel production. Created a custom CNN model with U-Net architecture, deployed as a web application.
Feedback from people I've worked with
Dipesh's expertise in machine learning and deep neural networks is exceptional. His innovative approach to our computer vision challenges led to remarkable improvements in accuracy. Working with him on our AI initiatives was a true game-changer for our products.
Dipesh's contributions to our reinforcement learning system were invaluable. His advanced knowledge of AI algorithms and thoughtful approach to model architecture design resulted in a significant performance improvement across our platform.
Collaborating with Dipesh on our natural language processing project was exceptional. His expertise in fine-tuning large language models and implementing efficient inference pipelines delivered results that exceeded our expectations.
Dipesh demonstrated outstanding skills in implementing our generative AI solution. His deep understanding of transformer architectures and ability to optimize models for production environments significantly accelerated our time-to-market.
Working with Dipesh on our multimodal AI project was remarkable. His ability to integrate vision and language models while maintaining computational efficiency gave us a competitive edge in our industry.
Dipesh's expertise in developing and deploying AI solutions was crucial for our business transformation. His implementation of recommendation algorithms and personalization features dramatically improved our user engagement metrics.
Dipesh brought exceptional value to our computer vision initiatives. His deep knowledge of convolutional architectures and transfer learning techniques helped us build robust models with significantly less training data.
Dipesh's work on our generative AI project was outstanding. His innovative approaches to prompt engineering and model fine-tuning delivered creative solutions that perfectly aligned with our business requirements.
Collaborating with Dipesh on our machine learning pipeline was incredibly valuable. His expertise in feature engineering and model optimization resulted in predictions that significantly outperformed our previous systems.
Dipesh's expertise in machine learning and deep neural networks is exceptional. His innovative approach to our computer vision challenges led to remarkable improvements in accuracy. Working with him on our AI initiatives was a true game-changer for our products.
Education
Bachelor of Engineering
Computer ScienceAcropolis Institute Of Technology And Research - AITR
RGPV University
PCM
Karnataka Vidya Niketan
MP Board
Highschool
Adarsh Shishu Vihar Higher Secondary School
MP Board
Certifications
Machine Learning
Stanford University
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI
Supervised Machine Learning (Regression and Classification)
DeepLearning.AI, Stanford University
Python Data Structures
University of Michigan
Contact
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