---
title: "Unmesh Nikumbh - Software Development Trainee in Pune District | Tal"
description: "Meet Unmesh Nikumbh, Python Developer | Junior Machine Learning Developer | MERN Stack Developer | AI Software Developer | based in Pune District."
image: "https://tal.club/meet/unmesh/share-image"
---

# Unmesh Nikumbh on Tal

## Headline

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

## About

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\.

## Location

Pune District

## Work experience

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\.

## Education

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 \(iMEET\)

[View the original profile](https://tal.club/meet/unmesh)

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