Darshan Dobariya

Software Engineer

Hyderabad, Telangana, India4 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in developing scalable Generative AI applications.
Strong background in LLMOps and AI-first engineering.
Proven ability to enhance developer efficiency and innovation.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in Generative AI and LLMOps.

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Skills

Core Skills

Generative AiLarge Language Model Operations (llmops)

Other Skills

C (Programming Language)C++Python (Programming Language)FastAPIDockerLLMOpsSoftware DesignPrompt EngineeringLarge Language Models (LLM)Gen AILinux firmwareHQXJavaOperating SystemsArtificial Intelligence (AI)

About

I’m a Software Engineer passionate about Generative AI, Machine Learning, and scalable system design. At Qualcomm, I develop end-to-end GenAI applications for the AI Marketplace, enabling large-scale deployment and lifecycle management of LLM-based and AI-native solutions. My work involves building production-grade AI systems, strong principles of system design and LLMOps practices. I collaborate with global teams to onboard and scale new AI solutions, ensuring reliability, performance, and best practices in deployment. I’m motivated by transforming cutting-edge AI research into real-world, scalable products, while contributing to a culture of AI-first engineering and continuous innovation.

Experience

4 yrs

Total Experience

1 yr 4 mos

Average Tenure

2 yrs 2 mos

Current Experience

Qualcomm

Software Engineer

Apr 2024 – Present · 2 yrs 2 mos · Hyderabad, Telangana, India · On-site

Building Qualcomm’s AI Marketplace by developing a suite of end-to-end Generative AI applications that accelerate SDLC workflows and boost organizational productivity.
Designed and developed scalable GenAI applications, enabling reliable deployment and lifecycle management of LLM-powered enterprise solutions.
Engineered robust backend and middleware architectures using Python, FastAPI, Docker, and event-driven systems, ensuring scalability, reliability, and modular design.
Collaborated with global AI and software teams to drive LLMOps best practices, prompt engineering, and AI-first automation—significantly enhancing developer efficiency and innovation velocity.

C (Programming Language)C++Python (Programming Language)FastAPIDockerLLMOps+2