Machine Learning Software Engineer

Kunal Babulal Bafna

Mumbai, India, **************@*****.***, +91-998*******, https://www.linkedin.com/in/kunal-bafna/

PERSONAL PROFILE

MSc Computer Science (Artificial Intelligence) graduate from the University of Nottingham with three years of experience in developing enterprise-grade software solutions using Python, FastAPI, and cloud technologies. Skilled in Object-Oriented Programming, building Restful API, designing web application dashboards and integrating complex APIs using Python for high-performance applications. Proven ability to collaborate across engineering, product, and QA teams to deliver scalable, high-performance applications aligned with business objectives.

EDUCATION

MSc Computer Science (Artificial Intelligence), University of Nottingham, United Kingdom September 2023 –September 2024

Grade: Merit

Modules: Machine Learning, Big data and Technologies, Data Science with Machine Learning.

Bachelor of Engineering in Information Technology, Mumbai, India August 2016 –August 2020

Grade: Distinction

Shah And Anchor Kutchhi Engineering College, Mumbai, India

WORK EXPERIENCE

Machine Learning and Software Engineer, IntelliDigest Ltd, United Kingdom March 2025 – August 2025

Built a scalable Farmer Marketplace web app using ReactJS, Redux, Firebase, and FastAPI, enabling real-time farm-to-consumer transactions with 99.9% uptime and supporting 5,000+ concurrent users.

Engineered high-performance RESTful APIs with FastAPI, leveraging dependency injection, async endpoints, and Pydantic models, reducing average response times by 35% and boosting API throughput by 40%

Crafted a responsive Farmer Admin Panel using React Hooks and Context API for efficient state management, enabling farmers to manage crops, track orders, and update inventory seamlessly.

Associate Software Engineer, CodeArray Technology Pvt Ltd, India August 2020 – August 2023

Cense Chatbot Web Application

Developed and optimized high-performance RESTful API services using Flask-Restful, handling over 10,000 requests per minute with sub-400ms response times, enabling seamless and efficient chatbot conversation flow management for enterprise clients.

Integrated WhatsApp Business and Instagram Messaging REST APIs into the chatbot portal using Flask-Restful and Celery, automating engagement workflows that scaled to 1,000+ customers per campaign and reduced manual effort by 40%.

Led version control and collaborative development using Git and GitHub within agile teams, implementing structured branching strategies and enforcing pull request workflows, which reduced integration conflicts by 40% and accelerated CI/CD deployments.

Retailigence Data Visualisation Web Application

Containerized the Retailigence application using Docker to create isolated environments, reducing infrastructure costs by 15% and deployment times by 30%, ensuring scalable, reliable, and rapid service iteration.

Automated ETL pipelines for nightly sales data load across various cloud platforms GCP, AWS, and Azure using Celery, Redis, NumPy and Dask for multiprocessing into SQL database, reducing processing time by 40% and handling 1 million records daily.

Deployed and managed backend microservices on AWS EC2 using Kubernetes, optimizing scalability and fault tolerance by 20%. Configured Amazon S3 for secure and efficient data storage, improving retrieval performance by 30%.

Designed interactive, responsive dashboards with Vue.js, enhancing front-end UX and boosting operational decision-making efficiency by 25% for 300+ retail stores.

ACADEMIC PROJECTS

Smart Drying System using Machine Learning and Explainable AI for Accurate Moisture Content Prediction

Architected an advanced deep learning ensemble model integrating LSTM, ANN, and Boosting algorithms, achieving 97% prediction accuracy on moisture content in bird's nest drying performed across various drying methods using a dataset of 5,000 data points. This improved traditional manual assessment methods by 40%, enhancing precision in Traditional Chinese Medicine ingredient processing.

SKILLS

Technologies: Python, Docker, HTML5, JavaScript, Bootstrap, Dask, Apache PySpark, ReactJS, CSS, Redux, Vue.js, Apache Kafka, Git, ETL pipelines (Celery, Dask, Pandas), FastAPI.

Databases: MySQL, MongoDB, PostgreSQL, Firestore

Frameworks: Celery, Flask, .NET MVC, Flask-Restful

Cloud Technologies: GCP, AWS, Kubernetes, Google Cloud Storage, AWS S3, Azure DataBricks.

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