Aman Gupta

Senior Software Engineer

Gurugram, Haryana, India4 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

5-star performer with a passion for problem-solving.
Winner of Docquity’s AI Productivity Challenge.
Expertise in end-to-end software development in healthcare tech.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Healthcare technology.

Contact

aman.gupta@docquity.com LinkedIn

Skills

Core Skills

Software DevelopmentAi

Other Skills

AgentsAlgorithmsAmazon Web Services (AWS)Android DevelopmentAnsibleArtificial Intelligence (AI)C (Programming Language)CI/CDCeleryCloud ComputingCommunicationConfluenceData ScienceData StructuresDeep Learning

About

I’m a Software Development Engineer at Docquity with 3+ years of experience building impactful products in healthcare tech, including real-time video streaming, messaging platforms, and an LLM-based AI copilot for doctors. I work end-to-end on projects—from backend development to cloud deployment—and bring hands-on expertise in TypeScript, Go, Python, PostgreSQL, MongoDB, CI/CD, and AI tools like LLMs, RAG, and VectorDBs. I’m a consistent 5-star performer and winner of Docquity’s AI Productivity Challenge, driven by a passion for solving complex problems and continuous learning.

Experience

Docquity

3 roles

Senior Software Development Engineer

Jul 2025 – Present · 8 mos

Software Development Engineer

Jul 2022 – Sep 2025 · 3 yrs 2 mos

Project 1: Optimized Live Webinar Streaming with Subtitles
Reduced streaming latency by deeply debugging ffmpeg and optimizing the media pipeline.
Resolved deployment issues through targeted infrastructure improvements, enhancing system reliability.
Delivered seamless live webinars with real-time subtitles, built on an event-driven, microservice architecture.
Project 2: Real-Time Instant Messaging Platform
Improved an open-source IM server by identifying and reporting critical bugs, contributing upstream.
Developed a push notification service for real-time chat updates, boosting user engagement.
Built deployment pipelines using Golang, Node.js, WebSockets, and gRPC, structured around event-driven microservices.
Project 3: LLM-Based AI Copilot for Doctors and Medical Researchers
Led end-to-end development of an AI assistant using Python and generative AI, enabling natural language queries over medical data.
Designed a persona-driven, multi-tenant architecture with semantic search, multilingual support, and in-context learning.
Handled hundreds of millions of vectors in VectorDBs, optimizing storage and retrieval for high-speed performance.
Implemented large-scale data scraping pipelines to build and maintain up-to-date knowledge bases.
Integrated LlamaIndex and LangChain for efficient data ingestion and query resolution.
Built a subscription management system with usage tracking, access control, and plan enforcement.
Architected the entire system using a scalable, event-driven microservice architecture for modularity and performance.