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Abhinav Gupta

@abhinavgupta4

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Senior software engineer building distributed platforms and AI-powered APIs.

India

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What I'm looking for

I’m looking to build reliable distributed platforms and API-driven services, where I can integrate LLM-powered automation into enterprise workflows. I want a team focused on measurable impact, strong engineering practices, and scalable deployments.

I’m a Senior Software Engineer with 8+ years building scalable backend systems, distributed platforms, and AI agents. I design and implement backend microservices in Java and Python, define REST APIs and service contracts, and connect AI-assisted workflows into production systems using LLM integrations (OpenAI/Anthropic).

At Neo Technology Consulting, I delivered measurable impact by improving cost modeling efficiency by 30%, reducing cross-service integration defects by 25%, and cutting manual approval effort by 20% through automated approval suggestions. I also containerize and deploy services on Kubernetes with GitOps (Argo CD), and I’m driven by my research background (Ph.D.)—including HTTP/3 and web performance—where I built benchmarking infrastructure and published peer-reviewed IEEE work to improve real-world QoE.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

StatusNeo Technology Consulting Private Limited

Sep 2025 - Present (9 months)

Designed and implemented Java/Python backend microservices for a workforce planning platform, improving cost modeling efficiency by 30%. Built REST APIs and LLM-integrated budgeting workflows, reducing cross-service integration defects by 25% and manual approval effort by 20%; containerized and deployed services to Kubernetes using GitOps with Argo CD.

Java Python Microservices REST APIs LLM Integrations Kubernetes GitOps Argo

Software Engineer

University of New Hampshire

Jan 2020 - May 2025 (5 years 4 months)

Built distributed HTTP/2 and HTTP/3 benchmarking infrastructure with simulated latency, achieving 25% faster page load times and 85% higher interactivity scores across production-grade platforms. Developed end-to-end experimental pipelines using Docker and Linux tc/netem, producing reproducible publication-quality results and publishing peer-reviewed IEEE research on HTTP/3 performance and QoE.

Distributed Systems HTTP 3 (QUIC)Docker Linux Tc Netem Performance Analysis QoE Benchmarking

Education

Degrees, certifications, and relevant coursework

University of New Hampshire

Doctor of Philosophy (Ph.D.) in Computer Science, Computer Science

2018 - 2025

Earned a Ph.D. in Computer Science focusing on HTTP/3 and web performance. Conducted research on HTTP/2/HTTP/3 benchmarking and Quality of Experience (QoE).