Anurag Nagare
About Me
Hi, I’m Anurag Nagare — an AI/ML Developer and Python Backend Engineer with a passion for building real-world, intelligent solutions.
I specialize in designing and deploying machine learning models for applications in computer vision, NLP, and generative AI. My experience spans across end-to-end development, from training deep learning models to integrating them into scalable web applications using Flask, Django, and Streamlit.
Over the past few years, I’ve delivered full-time projects involving object detection, content generation using LLMs, real-time inference APIs, and AI-powered dashboards. I’m also skilled in building asynchronous, event-driven systems using tools like Celery, RabbitMQ, and Docker.
I love working on projects that combine innovation and impact, and I’m always exploring new ways to make AI more accessible, efficient, and meaningful.
2
Years of
Experience
50
Happy
Clients
100
Complete
Projects
Skills
Python
95%
GEN AI
85%
LLM
90%
NLP
90%
AI
95%
RESTful APIs
85%
Expericence
ML/AI Software Engineer
Mind Lens Worldwide Pte Ltd | Dec 2024 - March 2025
Developed AI/ML solutions integrating Django, Streamlit, YOLO, and InsightFace for advanced computer vision and web applications. Implemented RESTful APIs and conducted end-to-end software development for machine learning projects Utilized Postman for comprehensive API testing and validation Demonstrated proficiency in front-end and back-end integration of machine learning models Conducted end-to-end software development lifecycle for AI/ML applications
AI Robotics trainer
STEMpedia, Ahmedabad December 2023 - September 2024
Integrated AI and machine learning concepts into PictoBlox, resulting in a 30% increase in student engagement and understanding. Developed an innovative curriculum and trained educators and students, fostering a dynamic learning environment that inspired creativity and problem-solving. Created customized student workshops that received positive feedback for significantly increasing interest and participation.
Python Data Science Developer
Sai Info Solutions, Nashik April 2023 - November 2023
As a Python Data Science Developer, I have been actively involved in a wide range of projects, contributing to the development and implementation of cutting-edge data science solutions. My responsibilities were Designed and implemented various neural network architectures using TensorFlow and Keras for tasks such as image classification, natural language processing (NLP), and time series forecasting. Built and fine-tuned machine learning models to solve complex business problems, achieving improved accuracy and performance. Developed interactive web applications using Flask, integrating backend Python code with front-end technologies to create data visualization and user interfaces. Utilized data science libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis, visualization, and reporting. Specialized in hyperparameter tuning techniques, optimizing machine learning models using Grid Search and Random Search to enhance model performance.
Freelance Data Science & Machine Learning Consultant
Provided data science and machine learning solutions for various clients, ranging from startups to established businesses, including projects in AI-powered skin disease detection and automated content generation. Built a web-based application using TensorFlow and Streamlit for skin disease detection, integrating a CNN model with PubMed API to deliver real-time medical insights. Created an automated content generation tool using GPT-2 and Streamlit, enabling the production of context-specific text content based on user inputs with customizable tones. Developed Python scripts leveraging Natural Language Processing (NLP) techniques using spaCy and NLTK for text analysis and phrase generation, enhancing text-based applications for
Services
Model Fine-Tuning & Optimization
I specialize in fine-tuning Models for domain-specific tasks using techniques such as LoRA, quantization, and pruning. I ensure high accuracy and efficient deployment by optimizing models for speed, size, and performance across various environments.
API Integration & Automation
I help businesses connect and automate workflows by integrating third-party APIs like OpenAI, Alpha Vantage, and PubMed into their systems. From data fetching to real-time automation, I build secure, scalable, and efficient API-driven solutions tailored to your needs.
CI/CD for ML Systems
I design and implement CI/CD pipelines to automate the end-to-end ML lifecycle, from model training and testing to deployment and monitoring. Using tools like GitHub Actions, Docker, and Airflow, I ensure faster, more reliable, and production-ready ML releases.
Web Apps with Streamlit or Flask
I build lightweight, interactive web apps using Streamlit and Flask to showcase AI/ML models, data visualizations, and automated workflows. These apps are ideal for prototypes, dashboards, and real-time user interaction with machine learning systems.
Projects
- All
GPT-2 Text Generation Web App
This code creates a simple web app using Streamlit that generates text content based on a prompt provided by the user. It uses the GPT-2 language model from the Hugging Face Transformers library for content generation.
Markov Chain Lyrics Generator
This Streamlit app leverages a Markov Chain model to create a dynamic lyrics generator using natural language processing (NLP) techniques. The code utilizes pandas for data manipulation, where it loads a dataset of song lyrics and processes the text into word sequences.
AI Image Generation with Stable Diffusion
Streamlit and Stable Diffusion! This app empowers users to create stunning AI-generated images from simple text descriptions. By integrating Streamlit's seamless interface with the powerful image generation capabilities of Stable Diffusion, users can easily type in a prompt, click a button, and see their visual concepts come to life!
Quantum-Classical Hybrid Image Processing
This project demonstrates the application of quantum computing in machine learning by implementing a hybrid architecture that combines classical neural networks with quantum circuits. The system processes 4x4 grayscale images using 4 qubits, leveraging quantum properties like superposition and entanglement.
Contact Me
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