Sidarth Roy

Full Stack Engineer

New Delhi, Delhi, India2 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI-driven aviation technology solutions.
Proficient in full-stack development with cloud-native applications.
Strong background in data engineering and reporting solutions.

Stackforce AI infers this person is a Full Stack Engineer specializing in AI and data solutions for the aviation industry.

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Skills

Core Skills

Full Stack DevelopmentAi IntegrationData IntegrationReporting SolutionsData EngineeringAi/ml SolutionsMachine Learning ResearchWeb DevelopmentFrontend Development

Other Skills

.NET CoreAZUREAlgorithmsAmazon RedshiftAngularJSArtificial Intelligence (AI)Auth.jsAutogenAzure Data FactoryBeautiful SoupBengaliBoomiBootstrapC (Programming Language)C++

About

I’m a Full Stack Engineer with a deep focus on AI research and development, currently part of IndiGo Airlines’ AI Advanced R&D Lab (Lab 37). In this role, I’m at the forefront of creating next-gen AI solutions and intelligent systems that are redefining the way we approach aviation technology. At Lab 37, our mission is to push the boundaries of artificial intelligence, machine learning, and advanced automation to transform every facet of the airline industry. From AI-powered applications and LLMs (Large Language Models) to cloud-based infrastructures and cutting-edge R&D prototypes, we are dedicated to delivering high-impact innovations that drive operational excellence and redefine customer experiences.

Experience

2 yrs 7 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 1 mo

Current Experience

Indigo (interglobe aviation ltd)

Full Stack Engineer – Lab 37 Innovation Team

May 2025 – Present · 1 yr 1 mo · Gurugram, Haryana, India · On-site

Part of Lab 37 – IndiGo's innovation and R&D team, focused on building next-gen digital solutions in aviation.
🚀 Key Responsibilities:
Building scalable, responsive full-stack web applications using React and FastAPI.
Developing cloud-native solutions with Microsoft Azure, leveraging services like Azure Functions, Cosmos DB, and App Services.
Integrating and deploying AI capabilities, including custom LLM models and Azure OpenAI services.
Collaborating in an agile environment to prototype and deliver high-impact features.
Continuously optimizing for performance, scalability, and user experience across platforms.
🧠 Focus Areas:
AI-enabled automation, LLM-powered tools, digital workflows, and enhanced passenger experiences.

Python (Programming Language)FastAPIReact.jsSQLAutogenFull Stack Development+1

Cg infinity

2 roles

Consultant - 1

Sep 2024 – Apr 2025 · 7 mos · Noida, Uttar Pradesh, India · On-site

Delivered scalable data integration and reporting solutions for a high-profile enterprise client in the sports marketing domain.
Engineered and optimized ETL processes powering 90%+ of mission-critical reports, including fiscal-year compensation analytics.
Designed performance-tuned SQL views for direct use in business reporting tools.
Enhanced and maintained Tableau dashboards to support evolving data visualization needs.
Built robust end-to-end integration pipelines with a focus on performance, scalability, error handling and logging.

Microsoft SQL ServerBoomiAmazon RedshiftTableauAzure Data FactoryData Integration+1

Software Development Engineer

Sep 2023 – Aug 2024 · 11 mos · Noida, Uttar Pradesh, India · On-site

📊 Data Products & AI Solutions (Data Engineering + AI/ML)
Developed and published multiple Snowflake Marketplace data products and native apps used by thousands of end-users.
Automated data pipelines for ingesting, transforming, and serving analytics-ready datasets using Snowflake, Azure, and DBT.
Created AI/ML-powered POCs leveraging Python, Streamlit, BeautifulSoup, and Selenium for use cases like document intelligence and workflow automation.
Enabled strategic growth by contributing to CG Infinity’s premium Snowflake partner status.
🔧 Enterprise IT Systems (Full Stack Development)
Built and deployed a full-stack web platform for managing IT assets, employee onboarding/offboarding, and license provisioning across international offices.
Integrated with internal systems using RESTful APIs and deployed on Azure Cloud, ensuring high availability and data consistency.
Improved operational efficiency for IT support teams managing 400–600 employees.