Machine Learning Engineer !

Hi, I'm Dipesh Paul. A passionate Machine Learning Engineer building intelligent solutions with AI and Machine Learning.

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Tech Stack

Python

GenAI

LLM

RAG

Multi Agents

Machine Learning

Deep Learning

Transformers

Machine Vision

NLP

TensorFlow

Git

FastAPI

Docker

Frontend Vibe Coder

SQL

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

Dec 2023 - Present

Indore, Madhya Pradesh

Working as a Machine Learning Engineer, focusing on implementing cutting-edge AI solutions and machine learning models.

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Machine Learning Engineer

Zdaly

Feb 2023 - July 2023

Bangalore, Karnataka

Worked as a Machine Learning Engineer with expertise in Python, TensorFlow, Scikit-learn, Pandas, Transformers, and other ML frameworks.

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Data Scientist

Great Software Laboratory (GS Lab)

Jan 2022 - Jan 2023

Pune, Maharashtra

Worked as a Machine Learning Engineer with extensive experience in Python and frameworks like FastAPI, Django, TensorFlow, etc.

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Data Scientist

Calsoft Private Limited

July 2019 - Jan 2022

Pune, Maharashtra

Implemented machine learning solutions and data analysis pipelines for various client projects.

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Data Scientist Intern

Calsoft Private Limited

Jan 2019 - June 2019

Pune, Maharashtra

Completed a 6-month internship in Machine Learning, gaining practical experience in data analysis and model development.

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My Projects

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.

Technologies

OpenAI's GPT-4o, GPT-4o-mini, Weaviate DB, Postgres, FastAPI, OpenAI Agent SDK, PydanticAI

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.

Technologies

OpenAI's GPT-4o, FastAPI, Weaviate vector DB

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.

Technologies

OpenAI's GPT-4o, FastAPI, Weaviate vector DB, AWS Bedrock

LLM Chat Suggestion

Developed an intelligent chat suggestion system that analyzes ongoing conversations and offers contextually relevant message suggestions to users, enhancing communication efficiency.

Technologies

Finetuning LLAMA-3.1, Openhermes, Deepseek using QLORA on Distributed training, Peft, Ollama, FastAPI, Redis, Weaviate vector DB

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.

Technologies

Python, Langchain, OpenAI, FastAPI, Prompt Engineering

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.

Technologies

Python, FastAPI, AI/ML, Tensorflow, Jenkins, Docker, Scrapy, Transformers

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.

Technologies

Python, FastAPI, AI/ML, Tensorflow, Jenkins, Docker, Transformers

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.

Technologies

Python, Kafka, Docker, FastAPI, AI/ML, Fastai

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.

Technologies

Python, Kafka, Plotly, Docker, AI/ML with Fastai and Tensorflow

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.

Technologies

Python, AI/ML, Tensorflow, OpenCV, DZone

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.

Technologies

Python, FastAPI, AI/ML, Fastai, and Keras

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.

Himanshu Tanwani

AI Research Lead, Google

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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.

Deepak Raula

ML Consultant, Deloitte

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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.

Gautam Sinha

Vice President, Barclays

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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.

Anupam Tiwari

Software Developer, Systango

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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.

Aishwarya Patil

Sr. Software Tester, HP

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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.

Gayyur Qureshi

Infrastructure Automation Engineer, Capgemini

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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.

Harsvardhan

Senior Software Engineer, Yash Technologies

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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.

Abhinav Dongre

Backend Developer, IBS Solutions

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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.