---
title: "Ifat Jagirdar - Full Stack Developer in Mumbai | Tal"
description: "Meet Ifat Jagirdar, Full-Stack Engineer & ML Researcher | Published NLP Work (IJCRT) | React, Node.js, PostgreSQL, Docker, AWS | Python, PyTorch | Seeking ML/AI Roles based in Mumbai. AI stack includes cursor, opencode, and claudecode."
image: "https://tal.club/meet/ifat-jagirdar/share-image"
---

# Ifat Jagirdar on Tal

## Headline

Full\-Stack Engineer & ML Researcher \| Published NLP Work \(IJCRT\) \| React, Node\.js, PostgreSQL, Docker, AWS \| Python, PyTorch \| Seeking ML/AI Roles

## About

I'm a full\-stack engineer at M\.M\. Engineering, where I build production web applications using React, Node\.js, PostgreSQL, Docker, and AWS but my real passion is applying AI and NLP to solve complex problems\. During my BTech in Computer Engineering at SNDT Women's University \(CGPA: 8\.82\), I published research comparing transformer models \(T5, BART, Pegasus\) for legal document summarization in IJCRT \(March 2024\)\. This work taught me how to fine\-tune state\-of\-the\-art NLP models, evaluate them with ROUGE metrics, and build AI pipelines that work\. At M\.M\. Engineering, I'm responsible for: → Building scalable web applications with React\.js and Node\.js → Managing PostgreSQL databases and optimizing query performance \(55% improvement\) → Implementing CI/CD pipelines that reduced deployment time by 60% → Deploying containerized apps on AWS with Docker and Kubernetes → Maintaining 99\.5% uptime through infrastructure automation → Improving user task efficiency by 40% through UX optimization Beyond my full\-stack role, I've built ML systems including: → AI\-powered Applicant Tracking System using NLP and semantic matching \(Google Cloud AI program\) → Mental fitness tracker integrating BERT sentiment analysis with predictive models \(IBM SkillsBuild\) → Real\-time face detection apps using OpenCV → Android apps with Google Places API integration I'm actively seeking \*\*Machine Learning Engineer\*\*, \*\*AI Research Engineer\*\*, or \*\*Full\-Stack Engineer \(AI\-focused\)\*\* roles where I can: \- Apply my full\-stack foundation to ML infrastructure and production AI systems \- Leverage my NLP research experience on transformer\-based projects \- Build intelligent systems that combine backend engineering with AI capabilities I'm fluent in 5 languages \(English, Urdu, Arabic, Hindi, German\), making me comfortable working in international teams and on multilingual NLP challenges\. 📧 Open to immediate relocation \| Notice period: 2 weeks Tech Stack: \- Full\-Stack: React\.js, Node\.js, JavaScript, PostgreSQL, HTML/CSS \- DevOps: Docker, Kubernetes, AWS, CI/CD \(Jenkins, GitHub Actions\), Git \- ML/AI: Python, PyTorch, TensorFlow, NLP \(Hugging Face\), BERT, Transformers \- Other: C\+\+, Kotlin, Android, OpenCV, Flask, Streamlit

## Location

Mumbai

## AI stack

cursor

opencode

claudecode

## Work experience

Full Stack Developer at M\.M\.Engineering Work, Dec 2024 \- Present · 1 yr 9 mos, Building production\-grade web applications and infrastructure for a manufacturing engineering firm while actively developing ML/AI skills through side projects\. Full\-Stack Development: Developing responsive front\-end interfaces using React\.js with modern component architecture Building robust back\-end systems with Node\.js and PostgreSQL database management Implementing RESTful APIs for seamless front\-end/back\-end integration Optimizing database queries, achieving 55% performance improvement through indexing strategies DevOps & Infrastructure: Implemented CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment time by 60% Containerized applications using Docker with Kubernetes orchestration Deployed and managed applications on AWS \(EC2, S3, RDS\) with auto\-scaling configurations Reduced system downtime from 5% to 0\.5% through monitoring and automation Set up logging, monitoring, and alerting systems for production reliability Project Delivery: Improved user task efficiency by 40% through UX optimization and feature enhancements Delivered 95% of sprint features on schedule within cross\-functional agile team Led technical decision\-making for architecture and technology stack choices Maintained clean, documented code with Git version control best practices ML/AI Learning \(Outside Work Hours\): Applying transformer models and NLP techniques to side projects Building AI\-powered tools and automation systems Exploring ML infrastructure and production deployment patterns Technologies: React\.js, Node\.js, JavaScript, PostgreSQL, Docker, Kubernetes, AWS \(EC2, S3, RDS\), CI/CD \(Jenkins, GitHub Actions\), Git, HTML/CSS, REST APIs, Agile/Scrum

Intern at Google Cloud Generative AI \., Aug 2024 \- Sep 2024 · 2 mos, Remote, Completed a remote internship program with Google, focusing on the practical implementation of Generative AI and Natural Language Processing \(NLP\) through industry\-level workshops\. Gained hands\-on experience with AI tools and Google Cloud technologies while exploring the transformative role of AI in business operations\. As a key project, I developed an AI\-powered Applicant Tracking System \(ATS\) that uses machine learning and NLP to match job seekers to relevant roles\. The system intelligently analyzes resumes, cover letters, and job descriptions to calculate match scores, helping recruiters identify the most suitable candidates more efficiently\. The project involved applying text analysis, semantic similarity, and classification models, improving the accuracy and speed of candidate screening\. This experience enhanced my understanding of how AI can optimize recruitment workflows and demonstrated the real\-world value of Generative AI in automating complex decision\-making processes\.

Student Intern at M\.M\.Engineering Work, Feb 2024 \- Apr 2024 · 3 mos, Mumbai, Maharashtra, India, Designed and developed a dynamic and user\-friendly e\-commerce website focused on both aesthetics and functionality\. Utilized modern front\-end technologies to create an intuitive shopping experience, enabling customers to browse and purchase products seamlessly\. The platform was built with scalability in mind to support long\-term business growth and enhance online visibility\.

Intern at IBM, Jun 2023 \- Jul 2023 · 2 mos, Remote, Developed a comprehensive project titled “Mental Fitness Tracker”, aimed at analyzing, tracking, and improving mental well\-being using data science and machine learning techniques\. This project integrated interactive data visualizations, sentiment analysis, and machine learning models to generate actionable insights about mental health patterns across different populations\. Imported and merged two real\-world datasets related to mental and substance use disorders and their share in disease burden\. Cleaned and transformed the data using Pandas and NumPy, and created insightful visualizations using Seaborn, Matplotlib, and Plotly Express\. Plotted correlation heatmaps, pie charts, bar graphs, and line plots to identify trends and relationships in mental health data across years and countries\. Built and evaluated predictive models including Linear Regression and Random Forest Regressor using Scikit\-learn to forecast mental fitness scores\. Split the dataset into training and testing sets, and computed key evaluation metrics such as Mean Squared Error \(MSE\), Root Mean Squared Error \(RMSE\), and R² score for model performance validation\. Integrated a BERT\-based sentiment analysis model using Hugging Face Transformers to assess users' daily mood inputs and classify them as Positive, Neutral, or Negative\. Developed a chatbot\-style interface that captures daily mood entries, stress levels, and predicts sentiment in real\-time to support mental wellness tracking\. Implemented an interactive Python interface to record user mood and stress data\. Visualized mood and stress trends over time using Matplotlib, allowing users to observe patterns and reflect on their emotional health\.

Intern at Microsoft, Dec 2022 \- Feb 2023 · 3 mos, Remote, I had the opportunity to deepen my understanding of web development and cloud computing through a combination of practical projects, technical workshops, and mentorship from experienced professionals\. This experience enhanced both my technical skills and my readiness to contribute effectively in a professional software development environment\. Designed and developed a static website named “Vegan Store” using HTML and CSS, focusing on delivering a clean, responsive, and user\-friendly interface\. The website included essential features such as a contact page for user inquiries and newsletter sign\-ups, as well as a gallery showcasing various vegan shops and the benefits of adopting a vegan lifestyle\. Leveraged Microsoft Azure Web Apps to deploy and host the website, gaining practical experience with cloud platform services\. Utilized Azure Storage Accounts to efficiently manage and serve static content, ensuring seamless user interaction with the site’s resources\. Participated in comprehensive workshops that covered coding best practices, fundamentals of data analysis, and cloud computing concepts\. These sessions enabled me to apply theoretical knowledge in practical scenarios and build confidence in new technologies\. Benefited from structured mentorship sessions with industry experts, which provided guidance on navigating the tech industry, understanding emerging technology trends, and planning a career path in software development\.

## Education

Bachelor of Technology \- BTech, Computer Programming, Usha Mittal institute of technology for women

Diploma, Computer Engineering, Vidyalankar polytechnic

[View the original profile](https://tal.club/meet/ifat-jagirdar)

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