Manojkumar Gupta

• Joined as TP Connects first Engineering Manager, growing the engineering organization from 5 to 25+ engineers
across Backend, Frontend, and QA teams in Europe, India, and the Middle East. Built hiring processes, competency
frameworks, leadership development, and succession planning, promoting a Technical Lead into an Engineering
Manager role.
• Defined the engineering strategy, platform architecture, and technical roadmap for a PCI-DSS compliant booking,
payment, and ticketing SaaS platform contributing nearly 60% of company revenue, balancing business priorities,
platform modernization, technical debt, and engineering capacity.
• Owned the end-to-end architecture across Java/Spring microservices, frontend applications, APIs, authentication,
cloud infrastructure, and deployment. Established scalable architecture standards, engineering best practices, and
reusable platform components to improve maintainability, reliability, and long-term platform evolution.
• Established engineering excellence through architecture and code reviews, automated testing, CI/CD, DevOps,
observability, release governance, incident management, and secure SDLC practices, reducing production incidents
by 30% while improving delivery predictability and engineering quality.
• Led adoption of AI assisted software engineering practices across engineering teams, improving developer
productivity, code quality, and delivery speed through standardized AI tooling and workflows.
• Partnered with executive leadership and cross functional teams across Product, Business, Architecture, Security,
and Infrastructure to drive strategic technology initiatives, including standardized deployment environments and
centralized security services, prioritize platform investments, remove execution botlenecks through structured
delivery governance, and deliver scalable technical solutions aligned with business goals.
• Directed delivery across multiple engineering squads while mentoring Engineering Managers, Technical Leads, and
senior engineers through coaching, performance reviews, career development, and succession planning, fostering
a culture of ownership, collaboration, and continuous improvement.

• Led a 15+ engineer organization across Data Science, ML Engineering, Data Engineering, and Backend Engineering,
defining the AI strategy, architecture, and technical roadmap for AI driven personalization and recipe
recommendation platforms serving more than one million customers across multiple international markets.
• Modernized the recommendation serving layer into a centralized, configurable platform and single source of truth,
enabling rapid experimentation, stronger governance, and self service product launches without engineering
deployments.
• Established MLOps practices spanning feature engineering, model validation, deployment, monitoring, automated
rollback, continuous evaluation, and production observability, improving deployment reliability, model governance,
and operational efficiency across the ML lifecycle.
• Introduced GDPR compliant data governance, feature flags, phased rollouts, and market specific monitoring,
enabling secure and auditable deployments across regulated EU and US markets.
• Led AI powered recommendation and personalization initiatives across the customer lifecycle, reducing customer
churn by 8% in the US market through continuous experimentation and A/B testing.
• Led a Domain Driven Design reorganization, establishing clear ownership across Data Science, ML Engineering, and
Backend Engineering, reducing cross team dependencies and improving engineering velocity.
• Established engineering KPIs using DORA metrics, platform reliability, delivery predictability, and operational health
dashboards, driving continuous improvement across engineering and AI platform teams.

• Led modernization of distributed recommendation and personalization platforms built on Java microservices, Kafka
event streams, and cloud-native services supporting more than 300 million customers and over 7, 000 requests per
second during peak traffic events.
• Partnered with Product, Principal Engineers, Cart, Payments, Search, and Catalog teams to define engineering
priorities, manage platform dependencies, and align technology investments with business goals.
• Delivered ML-powered recommendation experiences across Home, Product, and Discovery surfaces, improving
click-through rates by 5% through continuous experimentation.
• Strengthened engineering reliability through automated regression testing, structured incident management, and
on-call practices, reducing production incidents 18% year over year.
• Built leadership capability by coaching senior engineers and Technical Leads, expanding ownership and developing
future engineering leaders.

• Led cloud-native search and fare pricing API development from POC to production in the IATA-regulated airline
industry, improving latency by 20% and reducing infrastructure footprint through service modernization as part of
an on-premises to cloud migration.
• Delivered a B2B revenue optimization platform automating fee and margin calculations for travel agencies across
Amadeuss global distribution network, meeting strict financial data accuracy and audit compliance requirements.
• Led instant search and data team, delivering real-time quick search and intelligent caching strategies that reduced
dependency on batch-refresh cycles.

• Built team from zero: Joined as the first Engineering Manager with 4 engineers; scaled to 10+ across 3 teams and 2
technical leads within 6 months, promoting one lead into people management.
• Led enterprise network optimization product roadmap across globally distributed teams in 3 time zones,
maintaining delivery velocity through structured cross-regional coordination in a high-reliability enterprise
environment.

Led supply chain optimization product
development for global manufacturing clients. Developed industrial automation and power system
protection software for critical infrastructure. Contributed to aerospace and
defense projects including Integrated Flight Information Systems for commercial aviation — mission-critical aerospace
systems.