Python Developer | Junior Machine Learning Developer | MERN Stack Developer | AI Software Developer |

United Kingdom
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Pune District, Maharashtra, India

Pune District, Maharashtra, India

Remote

Bachelor of Technology - BTech, Artificial Intelligence and Machin Learning
University of Mumbai

Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning
Vishwaniketan Institute of Management Entrepreneurship and Engineering Technology (iMEET)
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Dynamic and growth-driven developer with hands-on experience in building modern web applications and scalable systems. I specialize in Python, JavaScript, MERN Stack development, and I’m actively expanding my expertise in Machine Learning. Recently, I began my freelancing journey and successfully delivered Phase 1 of my first client project – Khedan, a sports scoring and booking platform built from scratch with a complete authentication system, responsive UI, and secure backend integration. I’m passionate about: ✅ Turning ideas into real, functional products ✅ Building clean, responsive, mobile-first interfaces ✅ Developing secure, scalable backend architectures ✅ Learning continuously and pushing myself into ML & AI ✅ Creating efficient solutions that simplify user experience I thrive in environments where innovation, detail, and fast execution matter. Whether it’s frontend, backend, or end-to-end product development — I love building things that make an impact. Open to freelance projects, collaborations, and full-time opportunities in web development, Python, and ML. Let’s build something incredible together.
Pune District
Software Development Trainee at SentinelRX Life Sciences & Technologies Pvt Ltd, Jan 2026 - Present · 6 mos, United Kingdom, • Developing and contributing to scalable web applications for healthcare and research workflows using Java, Spring Boot, and React. • Building responsive and modular frontend components using React, Vite, and Tailwind CSS, focusing on clean UI architecture and intuitive user experience. • Implementing and maintaining RESTful APIs and backend services using Java and Spring Boot to support core platform functionality. • Working with PostgreSQL for database operations including schema integration, queries, and backend connectivity. • Integrating frontend and backend systems using Axios and modern data-fetching approaches to ensure efficient client–server communication. • Collaborating closely with the development team on feature design, implementation, debugging, and performance optimization across the application stack. • Supporting AI-driven features and automation workflows by integrating external AI services and implementing Python-based scripts for data processing and system automation. • Contributing to clean code practices, modular architecture, and Git-based version control workflows to maintain a scalable and maintainable codebase. Tech Stack:- Java • Spring Boot • React.js • Tailwind CSS • PostgreSQL • REST APIs • Axios • Python • AI API Integration • Git
Graduate Student at Vishwaniketan Institute of Management Entrepreneurship and Engineering Technology (iMEET), Aug 2023 - Present · 2 yrs 11 mos
Full Stack Developer at Khedan India Pvt. Ltd., Oct 2025 - Jan 2026 · 4 mos, Pune District, Maharashtra, India, As a freelance full-stack developer, I am building the Khedan Sports Platform, a modern, scalable web application for sports communities, ground bookings, and real-time match scoring. This project marks the beginning of my freelance journey, where I am responsible for both the technical foundation and the end-to-end development of the platform. Key Responsibilities & Achievements: • Designed and developed a mobile-first UI from scratch with a clean, intuitive user experience • Implemented a complete authentication system (Signup, Login, JWT, session handling, protected routes) • Built a smooth and secure user onboarding flow, reducing friction and improving accessibility • Developed the core structure for the live scoring engine (teams, match setup, logic wiring) • Integrated backend APIs using Node.js, Express, MongoDB with efficient schema design • Deployed the platform across Netlify (frontend) and Render (backend) with environment configuration • Collaborated closely with the client to refine requirements, plan feature phases, and deliver rapid iterations • Ensured maintainability through clean code, reusable components, and scalable architecture • Full live-scoring engine with real-time updates • Team & tournament management dashboards • Admin panel with role-based access and analytics • Multi-sport scoreboard modules • Advanced community features and engagement tools Technologies Used: React.js, Node.js, Express.js, MongoDB, JWT, Axios, CSS, Netlify, Render, GitHub
Project Intern at Zidio Development, Jul 2025 - Aug 2025 · 2 mos, Pune District, Maharashtra, India, During my paid internship at Zidio Development, I will be working on real-world data science projects while enhancing my skills in machine learning, data preprocessing, and model deployment. My responsibilities included: Collecting, cleaning, and preprocessing large datasets Building and validating ML models using Python and scikit-learn Creating impactful data visualizations and dashboards Collaborating with technical teams to meet analytical goals Documenting processes, methodologies, and project outcomes 📌 Key Projects: Real-Time Stock Price Prediction Developed a model that predicts live stock price trends using time series analysis and LSTM networks, integrating APIs for real-time data feeds. Image Captioning with Deep Learning Built an end-to-end image captioning system using CNNs for image feature extraction and LSTM-based decoder to generate human-like descriptions. Tools & Technologies: Python, Pandas, NumPy, Matplotlib, TensorFlow, Keras, SQL, Jupyter Notebook, Git
Artificial Intelligence Intern at Encryptix, Dec 2024 - Jan 2025 · 2 mos, Remote, Key Responsibilities as an AI Intern Model Development: Designing, training, and fine-tuning AI and machine learning models to address specific business challenges. Data Preprocessing: Cleaning, organizing, and analyzing large datasets to ensure high-quality inputs for model training. Algorithm Optimization: Researching and implementing advanced algorithms to improve the performance and accuracy of AI systems. Evaluation and Testing: Conducting rigorous performance evaluations of models using key metrics to ensure robustness and reliability. Collaboration: Working closely with cross-functional teams, including data scientists, engineers, and business analysts, to integrate AI solutions into projects. Insights and Reporting: Documenting findings, presenting actionable insights, and preparing visualizations to communicate results effectively. Problem Solving: Identifying real-world problems and leveraging AI techniques to propose and implement innovative solutions. Research: Staying updated on the latest advancements in AI/ML technologies and exploring how they can be applied to ongoing projects.
Bachelor of Technology - BTech, Artificial Intelligence and Machin Learning, University of Mumbai
Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning, Vishwaniketan Institute of Management Entrepreneurship and Engineering Technology (iMEET)