Sayantan
Basu
Senior Software Engineer with 5+ years of professional software engineering experience specializing in frontend and full-stack development with React, TypeScript, JavaScript, Next.js, Angular, Python, REST APIs, and gRPC. Experienced in developing production-grade applications, reusable UI systems, backend services, dashboards, automation, testing frameworks, and API integrations within Agile/Scrum environments. Hands-on AI/ML engineering experience building and deploying predictive and NLP applications using XGBoost, PyTorch, Hugging Face Transformers, FinBERT, ONNX Runtime, Optimum, Python, and FastAPI. Experienced in taking machine-learning projects from model development through inference, API integration, and deployment. Strong foundation in software architecture, testing, performance optimization, version control, CI/CD, and full software development lifecycle ownership.
Professional Experience
Senior Software Engineer
Develops production-grade web applications utilizing React.js, Redux, JavaScript, and SCSS, focusing on the creation of maintainable, high-performing, and reusable UI components. Designs responsive interfaces leveraging modern Flexbox and CSS Grid layouts while ensuring robust application reliability and minimal regressions through comprehensive unit and acceptance testing. Collaborates closely with cross-functional engineering and QA teams across all stages of debugging, testing, and release cycles, utilizing Git/GitHub for version control and taking end-to-end feature ownership across the software development lifecycle.
Senior Software Engineer
adept at building reusable UI components using React.js, Redux, and SCSS, with a strong focus on code reliability through extensive unit and acceptance testing. Proficient in JavaScript fundamentals, modern CSS layouts (Flexbox, Grid), and animations, consistently delivering optimized user experiences aligned with product goals. Demonstrates strong ownership, leveraging robust CS fundamentals and version control (Git/GitHub) to produce understandable, maintainable, and high-performing software.
Senior Software Engineer
Experienced in agile (Scrum) environments, contributing to all SDLC phases. Developed production-level front-end (JSX, SASS, Material UI, React.js hooks, Next.js) and back-end (Next.js, Python, REST APIs, gRPC) code. Key contributions include implementing notification systems, dashboards, large file upload optimization, and automation scripts. Proficient in user management, error handling, and collaborating with QA for debugging and testing. Utilized JIRA for task tracking and GitLab for version control, actively participating in sprint planning, reviews, and deployments.
Front End Developer
Developed production front-end applications using Angular 12 (upgraded to 16), TypeScript, HTML5, SASS, and Ignite UI within an Agile/Scrum framework. Created and customized Angular components, implemented features, and ensured responsive web design (RWD). Managed the full development lifecycle (design, development, testing, implementation). Integrated with back-end REST APIs using Angular services for data exchange (POST/GET) and implemented form validations. Utilized MVC architecture, RxJS for state management, and created custom directives. Supported build automation (Maven), version control (Git), and QA testing (Cypress).
Web Developer
Developed full-stack web applications using Agile/Scrum methodology. Built responsive UI with ReactJS, Redux, TypeScript, HTML5, and CSS. Created backend services using TypeScript, Google Firebase, and Google Cloud Platform (GCP) following MVC architecture. Implemented design patterns, managed state with Redux Saga, and integrated real-time AI, IoT systems, and external APIs. Performed testing, documentation, bug fixes, and performance optimization. Collaborated on an intelligent freight logistics platform. Used JIRA for issue tracking and BitBucket for version control.
Selected Projects
Stock Return Prediction Model
Built on XGBoost binary classifier to predict short horizon positive-return breakouts(>= 3% within 5 trading days) across Indian equity market
Financial Sentiment Analysis Model
Fine-tuned a domain specific sentiment classifier for financial news and market headlines, built on FinBERT and adapted for India and global equity markets. This model classifies text into positive, neutral and negative sentiment to support algorithmic trading signals and risk monitoring.
Goal Predictor
This project contains my own fine-tuned model which is being used to predict the goals that a player might score.
TinyApp
It was a project made as a part of the Lighthouse Labs curriculum. It is a full-stack web app built with an HTTP Server that handles requests from the browser (client). Along the way we got introduced to some more advanced JavaScript and Node concepts, and we also learnt more about Express JS.
Tweeter
It is a single page twitter clone built with HTML, CSS, JS, jQuery and Ajax.
Jungle
It was a project made as a part of the Lighthouse Labs curriculum. It is a mini ecommerce website built with Ruby with Rails for the purposes of learning Rails 4.2 by example.
Lotide
It was a project made as a part of the Lighthouse Labs curriculum. It is a clone of lodash JavaScript library to practice various types of functions using JavaScript.
Interview Scheduler
It is a React application that allows users to book and cancel interviews. In this project, there is a combination of concise API with a WebSocket server to build a real-time experience. Testing was done using R-spec and Cypress. We learnt about React Hooks through this project and implementing REST API with axios.
Education
Full-stack Web Development
Completed a Full-Stack Web Development Bootcamp, where I gained hands-on experience with JavaScript, Node.js, HTML, CSS, SASS, React.js, and Ruby on Rails, alongside foundational knowledge in software architecture, databases, and data modeling.
Engineering Business & Safeety Management
Awarded Roll of Honour for First Class Standing, recognizing academic excellence. Curriculum focused on the intersection of engineering operations, business strategy, and workplace safety—covering areas such as risk assessment, project management, regulatory compliance, and industrial safety systems. GPA: 3.59 / 4.00
Mechanical Engineering
Specialized in the principles of thermodynamics, fluid mechanics, materials science, and mechanical system design. The program provided a strong foundation in engineering mathematics, manufacturing processes, CAD/CAM, and finite element analysis (FEA), with applications across automotive, energy, and industrial systems.