Headline

Senior Backend Engineer | Python • Go • Distributed Systems • Microservices • GenAI • RAG • LLM Systems • Vector Search • Kubernetes • AWS | Scalable AI Platforms

About

Senior Backend Engineer specializing in distributed systems, real-time platforms, and AI-powered applications. I currently work as a Senior Software Development Engineer at Docquity, where I design and scale backend platforms powering healthcare products used by 50,000+ medical professionals across multiple regions. My work spans backend architecture, cloud infrastructure, real-time communication systems, and large-scale Generative AI platforms. Over the past few years, I have built production systems focused on scalability, reliability, and intelligent data retrieval, including: • Designing multi-tenant, multi-region backend systems with high availability targets (99.99% uptime) • Building LLM-powered medical copilots using RAG pipelines, LangChain, PGVector, and semantic search • Developing distributed microservices using Python, Go, and TypeScript • Optimizing real-time streaming and messaging systems using WebSockets, gRPC, and event-driven architectures • Architecting hybrid search systems combining semantic retrieval and ranking strategies • Improving deployment velocity and reliability through Kubernetes, Docker, and automated CI/CD pipelines My core strengths include: ✔ Distributed Systems & Microservices Architecture ✔ Backend Engineering (Python, Go, TypeScript) ✔ LLM Systems, RAG & Vector Search ✔ Cloud-Native Infrastructure (AWS, Kubernetes) ✔ High-Performance APIs & Real-Time Systems ✔ Observability, Reliability Engineering & Scalability Optimization I enjoy working on complex engineering challenges involving performance, large-scale data systems, and AI infrastructure. I take strong ownership of systems from design through production operation, with a focus on measurable business impact. Currently interested in opportunities and collaborations around: Backend Engineering | Platform Engineering | Distributed Systems | GenAI Engineering | AI Infrastructure

Location

Gurugram

AI stack

cursor

hugging face

langchain

openai

Work experience

Senior Software Development Engineer at Docquity, Jul 2025 - Present · 10 mos, Gurugram, - Lead backend architecture and development of subscription, entitlement, and metering platforms supporting multi-tenant healthcare products across multiple regions. - Designed multi-region distributed systems enabling regulatory data compliance and failover resilience, targeting 99.99% service availability. - Architected revenue-aligned access control workflows integrating billing, authorization, and usage tracking, reducing finance reconciliation effort by 30%+. - Drive infrastructure evolution toward high availability and cross-region replication, improving system reliability and disaster recovery readiness. - Collaborate cross-functionally with product, infrastructure, and data teams to deliver scalable backend services aligned with business growth.

Software Development Engineer at Docquity, Jul 2022 - Sep 2025 · 3 yrs 3 mos, Gurugram, Distributed Backend & Platform Engineering - Designed and scaled microservice-based backend systems powering communication, AI, and healthcare workflows used by 50,000+ medical professionals. - Built high-performance APIs and event-driven services using Python, Go, gRPC, and WebSockets enabling real-time collaboration features. - Implemented structured logging, monitoring, and observability pipelines improving production debugging efficiency by 50%. Generative AI & Search Platforms - Led development of a multilingual LLM-powered medical copilot, implementing RAG pipelines using LangChain, PGVector, and semantic search. - Designed hybrid retrieval architecture combining semantic embeddings and recency ranking, improving search relevance by 80%. - Managed large-scale vector datasets supporting high-speed AI retrieval across millions of documents. - Integrated LLM orchestration frameworks to enable contextual reasoning and domain-specific AI responses. Real-Time Streaming & Messaging Systems - Optimized live streaming infrastructure using FFmpeg pipelines, WebSockets, and gRPC, reducing end-to-end latency by 50%. - Improved streaming stability and reduced failure rates by 40% through deep performance analysis and pipeline optimization. - Identified and resolved concurrency deadlock issues in an open-source IM server, significantly improving message delivery reliability. Cloud & DevOps Engineering - Revamped CI/CD pipelines using Docker, Kubernetes, and Bitbucket Pipelines: - Build time reduced 12 min → 6 min - Container size reduced 60% - Automated deployment workflows improving developer velocity and release confidence. 🏆 Winner — Docquity AI Productivity Challenge for delivering high-impact AI platform features.

Software Developer at Docquity, Jan 2022 - Jun 2022 · 6 mos, - Implemented RBAC-based authentication and authorization system improving service security across backend platforms. - Designed automated JWT key rotation mechanism strengthening authentication reliability. - Built reusable API pagination framework adopted across multiple services, improving backend consistency and reducing duplicate implementations. - Delivered performance optimizations across microservices improving response latency by 20–30%.

Data Science Intern at Internity Foundation, Dec 2020 - Jan 2021 · 2 mos

Core Team Member- Fellows Jaipur Chapter at Incubate IND, Dec 2019 - Jan 2021 · 1 yr 2 mos, Jaipur

Education

Bachelor of Technology - BTech, Computer Science, Birla Institute of Technology, Mesra

AI, Artificial Intelligence, Udacity

Public links

github: https://github.com/cdaman123