Chetan Gupta

Director of Engineering

Delhi, India7 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in architecting scalable B2B platforms.
Proven track record in AI-driven automation.
Strong technical leadership and mentorship experience.

Stackforce AI infers this person is a SaaS architect with strong expertise in B2B platform development and AI automation.

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Skills

Core Skills

System ArchitectureAi & AutomationBackend DevelopmentData EngineeringSoftware DevelopmentMachine LearningData Analysis

Other Skills

Technical LeadershipCI/CDGenerative AIAPI IntegrationMiddlewareRole-Based Access ControlStatic Code AnalysisScalaKotlinKafkaSQL ServerHadoopELKGrafanaWeb Applications

About

Staff Software Engineer at Agoda, a leading global online travel company, with a passion for architecting large-scale, distributed platforms. With over six years of experience, I specialize in system design, developer productivity, and applying AI to solve complex engineering challenges. My journey has taken me from building developer tools from the ground up at D. E. Shaw, a renowned quantitative hedge fund, to my current role at Agoda. Here, I engineer solutions for accelerated integration with industry-leading strategic partners, including major airlines and banks, transforming high-level business requirements into robust and scalable software. As a Tech Lead, I have had the privilege of providing technical stewardship and mentorship to a talented pod of ~8 engineers, guiding the design and deployment of mission-critical platform components. My core areas of expertise include: - System Architecture: Designing and evolving multi-tenant, scalable systems with a focus on high-velocity integration and customization. - AI & Automation: Spearheading the use of Generative and Agentic AI to automate deployment pipelines, proactively detect anomalies, and significantly compress go-live timelines. - Technical Leadership: Mentoring engineering teams, championing best practices in CI/CD, and owning the end-to-end delivery of complex features.

Experience

7 yrs 4 mos

Total Experience

2 yrs 5 mos

Average Tenure

4 yrs

Current Experience

Agoda

3 roles

Associate Engineering Manager

Feb 2026 – Present · 4 mos

Staff Software Engineer

Promoted

Jul 2023 – Feb 2026 · 2 yrs 7 mos

Architected the evolution of a scalable B2B platform, engineering for accelerated launch velocity, streamlined partner integration, and rapid, composable customization to meet dynamic enterprise demands. My key contributions include:
Architected and deployed a universal partner integration engine, creating a middleware abstraction layer to standardize interactions with disparate external partner APIs, including critical identity (SSO) and transactional endpoints.
Engineered a sophisticated release orchestration system to formalize feature delivery, enforcing partner-driven schedules through robust CI/CD pipelines. This system incorporates immutable audit trails, granular Role-Based Access Control (RBAC), and centralized change management protocols.
Spearheaded the development of an intelligent code freeze management solution that automates deployments to dedicated partner environments. It leverages a synthesis of generative AI and static code analysis to proactively detect anomalies, including brand misalignments and out-of-band feature leakages, ensuring code integrity.
Championed the strategic implementation of generative and agentic AI solutions to hyper-automate the partner integration lifecycle. By embedding intelligent automation within a formal, runbook-based framework, we significantly compressed go-live timelines and de-risked deployments.
Provided technical stewardship and mentorship as a Tech Lead for multiple high-velocity engineering pods, guiding a collective of ~8 engineers in the design, development, and deployment of mission-critical platform components.

System ArchitectureAI & AutomationTechnical Leadership

Senior Software Engineer

Jun 2022 – Jul 2023 · 1 yr 1 mo

Building the B2B travel platform which allows partners with loyalty programmes to provide travel offerings to their customers. Partners include leading airlines, banks and credit card companies.
Technologies used: Scala, Kotlin, Kafka, SQL Server, Hadoop, ELK, Grafana etc.

ScalaKotlinKafkaSQL ServerHadoopELK+3

D. e. shaw india private limited

2 roles

Senior Member Technical

Promoted

Dec 2020 – Jun 2022 · 1 yr 6 mos

Worked on tools and web applications for enhancing User and Developer productivity.
Owned, designed and developed 10+ services including a Centralised Notifications Service, company intranet and a suite of slack applications.

Web ApplicationsUser Productivity ToolsSoftware Development

Member Technical

Jul 2019 – Dec 2020 · 1 yr 5 mos

Certa

Backend Intern

Jan 2019 – Jun 2019 · 5 mos · Remote

CERTA (prev. VETTED) is an Autopilot for KYC /AML, supplier management, and partner ecosystem.
Worked on the core platform based on a multi-tenant architecture.
Technologies used: Python, Django, Redis, PostgreSQL, celery, AWS, etc.

D. e. shaw india private limited

Summer Intern

Jun 2018 – Jul 2018 · 1 mo · Hyderabad, Telangana, India

Developed a machine learning solution to provide valuable insights based on the in-house IT service desk data.
Identified key performance indicators, did text mining and built predictive models for forecasting and automation.
Technologies used: Python, SQLServer, pandas, keras, SQLAlchemy, highcharts etc.
Team: WebSolutions (IT/Enterprise)

PythonSQLServerpandaskerasMachine Learning

Indus valley partners

Software Engineering Intern

Dec 2017 – Dec 2017 · 0 mo · Noida Area, India

Performed technical analysis of stocks and analyzed their impact on Buy/Sell signals.
Integrated findings into a dashboard for monitoring multiple stocks.
Technologies used : Python, MongoDB, pandas, flask, numpy, charts.js etc.

PythonMongoDBpandasData Analysis

Precog @ iiitd

Research Intern

Apr 2017 – Jul 2017 · 3 mos · New Delhi Area, India

PreCog Research Labs
Objective : Video Classification of child unsafe content using Deep Learning.
Worked towards data collection, pre-processing, annotations and analysis and deep learning
model using LSTMs.
Technologies used : Python, hd5f, MongoDB, ffmpeg, flask, keras, tensorflow, numpy, charts.js
Guide: Dr. Ponnurangam Kumaraguru (PhD, Carnegie Mellon University)

PythonDeep LearningMachine Learning