Yash Batra

Software Engineer

Bangalore Urban, Karnataka, India3 yrs 9 mos experience

Key Highlights

Led development of OpenAI-backed recommendation services.
Engineered robust CDC layer optimizing database performance.
Built integrator framework reducing API onboarding time by 40%.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in scalable systems and API integration in the Travel and Real Estate sectors.

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Skills

Core Skills

Backend DevelopmentDistributed SystemsData ModelingApi Integration

Other Skills

JavaGoAPI DesignData-Intensive ServicesGolangRedisgRPCDatabase Schema DesignDynamic ProgrammingSynchronizationChange Data CapturePerformance TuningDatabase OptimizationApache KafkaRabbitMQ

About

Software Development Engineer II with 3+ years of experience building full stack and backend-heavy systems in fast-paced product environments. I’ve worked extensively on distributed systems, API design, and data-intensive services using Java and Go, with a strong focus on scalability, reliability, and ownership. At Housing.com, I worked on backend platforms powering large-scale real estate workflows. My work included leading the development of OpenAI-backed recommendation services for locality and project insights, improving data modeling for previously unstructured systems, and shipping geo-based recommendation features that directly increased seller engagement and platform adoption. I enjoy owning features end to end, from system design and schema planning to production rollout and monitoring. Previously at Tiket.com, I focused on platform engineering and scalability. I built an integrator framework that significantly reduced third-party API onboarding time, designed CDC pipelines using Debezium and Kafka to reduce database load, and improved observability using Prometheus and Grafana. This role involved deep production debugging, performance tuning, and building resilient services used at scale. I’m comfortable working across the stack with Spring Boot, Echo, Kafka, Redis, MongoDB, PostgreSQL, Docker, Kubernetes, and cloud platforms including AWS, GCP, and Azure. I care deeply about clean system design, real-world trade-offs, and writing software that holds up under production pressure. I also write occasionally to reflect on engineering journeys, interviews, and lessons learned from building and operating real systems.

Experience

3 yrs 9 mos

Total Experience

1 yr 9 mos

Average Tenure

3 mos

Current Experience

Amazon

Software Development Engineer 2

Feb 2026 – Present · 3 mos · Bengaluru · On-site

Working on full stack systems with a focus on scalability, reliability, and ownership.

JavaGoDistributed SystemsAPI DesignData-Intensive ServicesBackend Development

Housing.com

Software Development Engineer 2

Dec 2024 – Dec 2025 · 1 yr · Gurugram

Led a team of three developers to design and deploy an OpenAI-backed recommendation microservice (Golang, Redis, gRPC) that
auto-generates locality and project highlights during listing creation; improved listing completeness and content relevance.
Designed and introduced a dedicated database schema and migration tools to organize previously unstructured flat-status data, improving
seller visibility and status-tracking efficiency by 20%.
Implemented a geo-based suggestion feature that recommends nearby properties owned by the seller after self-verification, increasing
multi-property listings by 18% and improving seller engagement.

GolangRedisgRPCDatabase Schema DesignData ModelingBackend Development

Tiket.com

Software Development Engineer-Backend

Jun 2022 – Dec 2024 · 2 yrs 6 mos

Intergrator Framework: Spearheaded the creation and development of the Integrator Framework repository, facilitating the seamless integration of new Hotel Provider APIs. Successfully integrated TravelGateMGHO and migrated Agoda, accelerating API onboarding time by 40%, resulting in a 20% increase in overall system efficiency.
CDC (Change Data Capture): Engineered a robust CDC layer to optimize MongoDB queries, reducing database load by 35% and enhancing scalability across multiple cron services. This feature was adopted by 5+ services, improving performance and stability.
Chat Platform: Improved the extranet desktop chat functionality, leading to a 15% increase in partner response rates and a 10% reduction in customer service inquiries. Enhanced partner engagement via email responses, improving operational efficiency.
Lightroom Service: Collaborated with a cross-functional team to maintain and improve the Lightroom service, resolving 20+ critical bugs and improving image processing speeds by 30%, ensuring high user satisfaction.
ImgProxy Integration: Upgraded image handling for PNG files on iOS devices via imgProxy Pro, reducing image load times by 25%, enhancing the mobile user experience for over 500k+ iOS users.
Hotel Recon Sync: Simplified synchronization processes, reducing reconciliation errors by 15% and improving data consistency across 10+ integrated services.

Dynamic ProgrammingSynchronizationChange Data CaptureAPI IntegrationPerformance TuningBackend Development