Mayank Saxena — Senior Software Engineer

I am a Software Engineer experienced in designing and scaling high-performance distributed systems, building resilient microservices, and optimizing cloud infrastructure for reliability and cost efficiency. My core expertise spans Golang, Python, Kubernetes, Docker, Kafka, RabbitMQ, PostgreSQL (pgx), gRPC, and cloud-native deployments (GCP, AWS). I have led the re-architecture of critical services to improve system performance, streamline API platforms, and deliver fault-tolerant solutions on Kubernetes. My work includes building event-driven systems, optimizing databases with connection pooling, and enabling dynamic content delivery through modern frameworks. Alongside backend engineering, I am passionate about Machine Learning and Large Language Models (LLMs). I have built projects like Pluto AI (natural language to SQL query converter), multi-agent inference systems for lead rejection prediction, and ML pipelines on Vertex AI for automated data and product processing. These experiences blend my backend expertise with applied AI, enabling end-to-end problem solving from infrastructure to intelligence. I enjoy tackling complex engineering challenges, continuously improving system design, and applying modern AI-driven approaches to create scalable, impactful solutions.

Stackforce AI infers this person is a Backend Engineer with a strong focus on AI and cloud-native solutions.

Location: Ghaziabad, Uttar Pradesh, India

Experience: 4 yrs 1 mo