May 2024 – Sep 2025 · 1 yr 4 mos · Gurugram, Haryana, India · On-site

• Designed and implemented a real-time recommendation pipeline leveraging Kafka for event streaming and fault-tolerant data ingestion, with embeddings processed and served via FastAPI-based microservices, boosting user engagement by 10% in the first month.
• Built the shopping app’s search feature with Elasticsearch, optimizing indexing, query performance, and ranking, which contributed around 10% of revenue, and later enhanced it using user/product embeddings stored on Qdrant, enabling low-latency retrieval for tail queries, driving an additional 4–5% uplift.
• Introduced a distributed Redis caching layer for the recommendation pipeline, architecting APIs for direct retrieval and horizontally partitioned recommendation data, reducing core API latency from 1s to 200 ms while supporting 10K+ concurrent users, and enabling low-latency personalized recommendations at scale.
• Architected a distributed asynchronous task infrastructure for the shopping app with RabbitMQ and Celery, processing more than 1K concurrent tasks daily and generating 500+ recommendations per user nightly, driving a 5–10% uplift in Week-2 retention.
• Architected the shopping app’s observability platform by integrating Prometheus for real-time distributed metrics collection and Grafana for real-time dashboards and anomaly detection, improving system reliability and reducing MTTD from 6 hours to 15 minutes.
• Streamlined app deployments by managing CI/CD pipelines with Jenkins and EKS (Kubernetes) clusters, improving engineering efficiency and reducing release cycle time.

Nov 2023 – May 2024 · 6 mos · Gurugram, Haryana, India · On-site

• Designed and developed the v1 backend of the shopping app using Django REST APIs and Pydantic models, introducing a hybrid pagination approach that combined page- and offset-based methods to efficiently serve 100K weekly users.
• Deployed a SQL-based heuristic recommendation algorithm and scaled it to support 50K active users, developing APIs to serve personalized recommendations. This improved retention rates by up to 10% MoM and increased week-2 activation rates to 7–8%.

Jan 2023 – Oct 2023 · 9 mos · India · Remote

• Partnered with project stakeholders to architect backend APIs using Django and FastAPI, adhering to industry-standard design principles, and seamlessly integrated them with the UI, yielding an impressive 40% boost in user engagement.
• Designed a feature-rich API integration module, implementing the most suitable design pattern for the task, resulting in a 40% enhancement in user engagement
• Orchestrated the deployment pipelines on Google Cloud Platform (GCP) to ensure both resiliency and scalability, while implementing a message queue-based system for background task management, which optimized response times and achieved a remarkable 60% reduction in server downtime.
• Crafted an efficient and streamlined database schema that effectively reduced data redundancy by an impressive 30%, leading to faster query performance and a significant reduction in storage overhead.
• Engaged in continuous dialogue with the co-founder, influencing tech stack decisions and ideating on feature development, ensuring alignment with business objectives and user needs.

Sep 2020 – Jan 2023 · 2 yrs 4 mos · India · Remote

• Created a modular service in Spring boot using test driven development that reduced database redundancy significantly and streamlined end user efforts by 60%
• Collaborated closely with designers and product managers to deeply comprehend user requirements, skillfully architecting a centralized feedback and ticketing system with a user-centric, object-oriented design that delivered remarkable improvements in user efficiency.
• Developed a comprehensive end-to-end unit testing framework, significantly bolstering test coverage and mitigating the risk of production environment issues by an impressive 70%. By adhering to rigorous unit testing practices, ensured system reliability, identified and resolved potential issues early, and enhanced overall software quality and performance.
• Pioneered innovative strategies to enhance code merge processes by introducing an array of adaptive quality checks and seamlessly integrating SonarQube into the standard build pipeline.
• Stepped up in the absence of tech lead, helping onboard new developers and lead tech initiative.