Darshan Dobariya

Software Engineer

Hyderabad, Telangana, India4 yrs experience
Most Likely To SwitchAI Enabled

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.

Contact

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 2024Present · 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

Espressif systems

Software Engineer

Jul 2023Apr 2024 · 9 mos · Pune, Maharashtra, India · On-site

C++C (Programming Language)

Office of career services, iit hyderabad

Placement Coordinator

May 2022Jun 2023 · 1 yr 1 mo

Education

Indian Institute of Technology Hyderabad

Master of Technology - MTech — Artificial Intelligence

Jan 2021Jan 2023

V.V.P. ENGINEERING COLLEGE, RAJKOT 047

Bachelor of Engineering - BE — Information Technology

Jan 2017Jan 2021

Jawahar Navodaya Vidyalaya - JNV

Jan 2010Jan 2017

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