Resume
Summary
Chaitanya Malani
Master's degree in Computer Science from Paris and AWS Certified Developer Associate with 2+ years of software engineering experience across India and France, spanning full-stack development, automation, DevOps, data pipelines and AI technologies.
- Mumbai, India
- +91 9867117892
- contact@chaitanyamalani.com
Education
Master in Computer Science
February 2024 - April 2026
EPITA: Ecole d'Ingénieurs en Informatique, Paris
EPITA's MSc in Computer Science is a CGE (Conférences des Grandes Écoles) approved program that offers a perfect combination of the theoretical foundation of computer science and its applications in the fields of current technology and professional fields.
Bachelor in Computer Engineering
August 2018 - May 2022
Shree L. R. Tiwari College of Engineering, Mumbai
Mumbai University's Bachelors degree in Computer Engineering focuses on quality education, training, and skill development in the field of computer engineering so as to prepare professionals and entrepreneurs of high calibre with human values.
Professional Experience
AI Engineer
April 2026 - August 2026
First Down, Paris
Project: Competitive intelligence platform for a Swiss cosmetics company, centralizing competitor products, launches, publications, event brochures and market data to support strategic decision-making and future AI-driven analysis.
Role: Architected and developed the end-to-end platform, covering multi-source data ingestion, relational data modeling and a centralized search and analytics interface.
- Developed a centralized competitive intelligence tool to replace fragmented manual research workflows, with an estimated 70% reduction in research time based on the client's existing process.
- Engineered automated ingestion pipelines using Playwright and Crawl4AI across 10+ competitor sources, including websites, product catalogs, editorials, product launches and event brochures.
- Designed a PostgreSQL-based relational data layer and dashboard with search capabilities, providing strategy and competitive intelligence teams with a centralized data hub for competitor analysis.
- Designed the platform architecture to support future RAG and LLM-based capabilities using LangGraph, LangChain and pgvector for semantic retrieval, automated insights and report generation.
Automation Engineer
July 2025 - January 2026
SCOR, Paris
Project: APEX (Actuarial Platform for Experience Analysis), an enterprise actuarial platform supporting experience analysis across multiple insurance markets and products.
Role: Owned automation initiatives across large-scale data validation, frontend and backend testing, containerization and CI/CD, replacing manual regression processes with scalable automated workflows.
- Designed and deployed an automated non-regression testing pipeline using PySpark on Azure Databricks for production-scale datasets of up to 400M rows and approximately 25 columns.
- Reduced end-to-end regression testing from approximately 72 hours of manual effort to as little as 3 hours by automating test execution, dataset comparison and regression reporting with no manual verification required.
- Developed an automation framework using Playwright for frontend and backend testing, covering approximately 20 test cases with 2-5 scenarios each and integrated Grafana reporting.
- Implemented application containerization using Docker and built Jenkins CI/CD pipelines for multiple environments, enabling consistent automated execution through container-based workflows.
Software Engineer
July 2022 - August 2023
Zeus Learning, Mumbai
Project: Learning Management System (LMS) for teachers and students, supporting interactive assessments, automated grading and performance dashboards across multiple question formats.
Role: Worked as a full-stack engineer across the React frontend, Node.js backend, database layer and AWS services while leading and mentoring two junior developers and new joiners.
- Led a team of two developers to design reusable React.js UI components for assessment workflows, reducing frontend development time by an estimated 20% through component reusability.
- Developed multiple interactive question types, including Q&A, fill-in-the-blanks, matching and short-answer formats, together with grading logic used in student and teacher dashboards.
- Developed and optimized RESTful APIs using Node.js and ORM-based database interaction, improving system performance by an estimated 30% through efficient data flow design.
- Developed Google Drive integration and end-to-end assessment functionality, contributing across UI, backend APIs, grading and data persistence.
- Worked with PostgreSQL and supported the migration to AWS DynamoDB, while integrating Amazon S3 for application storage.
- Automated CI/CD pipelines via GitLab, reducing deployment errors by an estimated 20% through automated build, testing and deployment workflows.
- Unit tested modules and components with Jest to improve reliability and reduce post-production defects.
- Conducted comprehensive WCAG accessibility testing, covering contrast ratios, keyboard navigation and screen-reader compatibility.
- Worked in an Agile environment with cross-functional teams to define, implement and deliver key features on schedule.
Consulting Work
January 2023
Foslipy Consultancy Services
- Conducted training sessions for over 100 students on AWS services, covering key topics such as foundational cloud concepts, deployment strategies, and real-world application use cases.
- Designed and delivered interactive hands-on labs, enabling students to gain practical experience with AWS tools such as S3, EC2, and IAM, fostering deeper understanding and retention of cloud concepts.
- Guided students in deploying, managing, and scaling cloud applications, equipping them with practical skills for industry readiness.
Web Development Intern
January 2022 - February 2022
The Sparks Foundation, Singapore
- Developed responsive webpages and functional modules using Django, HTML, CSS and JavaScript.
- Implemented backend workflows and database-driven features to support end-to-end application functionality.
- Deployed and tested the Django application on AWS, gaining hands-on experience with cloud hosting and deployment.