Aman Gupta

Senior Backend Engineer with 4+ years building distributed systems, real-time platforms, and GenAI applications serving 50,000+ medical professionals. Specializes in Python, Go, microservices, RAG and LLM pipelines, hybrid search, MCP servers, and cloud-native infrastructure. Strong ownership mindset with a consistent track record of shipping production systems that deliver measurable business impact.

Senior Software Development Engineer at Docquity (2025-07 – Present)

• Lead backend architecture of subscription, entitlement, and metering platforms for multi-tenant, multi-region healthcare products, enabling regulatory compliance and failover resilience with a 99.99% uptime target.
• Designed and built subscription management and conversation-based usage tracking systems, enabling flexible monetization models, accurate metering, and streamlined customer lifecycle management.
• Designed and developed an AI-driven skill resolution agent and MCP server that orchestrates retrieval across multiple heterogeneous data stores, improving query accuracy and reducing integration complexity.
• Architected and delivered a multi-tenant bookmark service adopted across multiple Docquity products, improving feature reuse, cross-product consistency, and platform scalability.
• Driving infrastructure evolution toward cross-region data replication and high availability, improving system reliability and disaster recovery posture.
• Collaborate cross-functionally with product, infrastructure, and data teams to deliver backend services aligned with business growth and regional compliance requirements.

Software Development Engineer at Docquity (2022-07 – 2025-06)

• Led end-to-end development of a multilingual LLM-powered medical copilot, designed the full RAG architecture including document ingestion pipelines, self-managed PGVector infrastructure with millions of embeddings, and optimized vector retrieval for low-latency, high-accuracy responses, increasing medical content retrieval accuracy by 70%.
• Designed hybrid retrieval architecture combining semantic embeddings with recency ranking signals, boosting search relevance by 80% based on offline evaluation and user feedback.
• Integrated LangChain orchestration frameworks to enable contextual reasoning, multi-turn conversations, and domain-specific AI responses at scale.
• Managed large-scale vector datasets supporting high-speed AI retrieval across millions of medical documents.
• Designed and scaled microservice-based backend systems in Python, Go, and TypeScript powering communication, AI, and healthcare workflows used by 50,000+ medical professionals.
• Built high-performance APIs and event-driven services using gRPC, WebSockets, and Kafka, enabling real-time collaboration features and asynchronous processing at scale.
• Implemented structured logging, distributed tracing, and observability pipelines using Prometheus, Grafana, and OpenTelemetry, reducing production debugging time by 50%.
• Optimized live streaming infrastructure using FFmpeg pipelines, WebSockets, and gRPC, reducing end-to-end latency by 50% and streaming failure rates by 40%.
• Identified and resolved a concurrency deadlock in an open-source IM server, significantly improving message delivery reliability and system stability for production users.
• Revamped CI/CD pipelines using Docker, Kubernetes, and Bitbucket Pipelines, reducing build time from 12 minutes to 6 minutes and container image size by 60%, accelerating release cycles.
• Automated deployment workflows and infrastructure provisioning, improving developer velocity and reducing manual intervention in release processes.
• Improved deployment stability through Kubernetes rollout strategies, health checks, and structured alerting, reducing incident recovery time significantly.

Software Development Intern at Docquity (2022-01 – 2022-06)

• Implemented RBAC-based user management system and automated JWT key rotation, improving authentication reliability and security posture across backend services.
• Built a reusable API pagination framework adopted by multiple teams, improving backend consistency and eliminating duplicate implementations.
• Delivered performance optimizations across multiple microservices, improving average API response time by 20 to 30%.

Bachelor of Technology in Computer Science Engineering – Birla Institute of Technology, Mesra (2018 – 2022)