Utkarsh Mishra

Senior Software Engineer

Hyderabad, Telangana, India6 yrs 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in AI benchmarking and performance optimization.
  • Proficient in building LLM-powered applications.
  • Strong foundation in real-world AI systems design.
Stackforce AI infers this person is a Backend-focused AI Engineer with expertise in Generative AI and performance optimization.

Contact

Skills

Core Skills

Ai BenchmarkingGenerative AiBackend Development

Other Skills

Prompt EngineeringSystems DesignLarge Language Models (LLM)AI Application DevelopmentNatural Language Processing (NLP)Python (Programming Language)LangChainOptimizing PerformanceFlaskDjangoCJavaSqlSqliteHTML

About

I’m a Senior Software Engineer at Qualcomm, working on AI systems and increasingly focused on building Applied AI solutions powered by Generative AI and LLMs. My background is in designing high-performance AI pipelines and benchmarking systems for LLMs across CPU and NPU architectures. This gives me a strong foundation in how AI systems behave in real-world environments. I’m now extending this into building real-world AI applications—from LLM-powered tools to intelligent user-facing systems that solve practical problems. I’m particularly interested in: • LLM-powered applications (chat, summarization, automation) • AI copilots and workflow automation • RAG-based systems and knowledge assistants • Edge AI applications I enjoy bridging the gap between AI capability and product experience—turning powerful models into usable, impactful features. Open to opportunities in Applied AI, GenAI product engineering, and AI-driven software systems.

Experience

6 yrs 5 mos
Total Experience
2 yrs 1 mo
Average Tenure
4 yrs 1 mo
Current Experience

Qualcomm

2 roles

Senior Software Engineer

Promoted

Nov 2024Present · 1 yr 6 mos · Hyderabad, Telangana, India

  • Led development of an end-to-end AI benchmarking pipeline for Generative AI models on Snapdragon Windows SoCs
  • Optimized LLM inference (LLaMA, Phi) across CPU, NPU, and hybrid architectures using QAIRT SDK
  • Defined and standardized key GenAI performance metrics including Time-to-First-Token (TTFT) and Tokens/sec
  • Conducted accuracy evaluation using MMLU, ensuring MLPerf compliance
  • Enabled scalable onboarding of new models aligned with MLCommons guidelines
  • Translated benchmarking insights into real-world deployment understanding for LLM applications
Prompt EngineeringSystems DesignAI BenchmarkingGenerative AI

Software Engineer

Apr 2022Nov 2024 · 2 yrs 7 mos · Hyderabad, Telangana, India

  • Built and optimized MLPerf benchmarking pipelines for Snapdragon mobile and Windows platforms
  • Benchmarked models across CPU, GPU, and NPU, improving inference performance and efficiency
  • Worked with diverse AI models including MobileNet, MobileBERT, EDSR, and LLMs
  • Ensured compliance with MLCommons benchmarking standards
  • Scorecard
  • Built a web-based AI benchmarking analytics platform with NLP-based search for SoC, SDK, and accelerator insights
Prompt EngineeringSystems DesignAI BenchmarkingGenerative AI

Zestmoney

SDE - I

Jan 2022Apr 2022 · 3 mos · Bengaluru, Karnataka, India

  • Improved backend performance by optimizing API responses and reducing unnecessary computations
  • Refactored existing systems to enhance scalability and maintainability
  • Implemented pagination and efficient data handling, improving response time and user experience
  • Collaborated across teams to streamline API design and improve overall system efficiency
Systems DesignBackend Development

Tata consultancy services

Software Engineer

Sep 2020Jan 2022 · 1 yr 4 mos

  • Developed REST APIs for customer sentiment analysis and rating systems using NLP techniques
  • Built scalable backend services to process large volumes of banking transactions efficiently
  • Improved system reliability by identifying and resolving critical production issues
  • Contributed to performance optimization and stability of enterprise-level applications
Systems DesignBackend Development

Microsoft

Microsoft Student Partner

Jul 2018Jul 2019 · 1 yr

  • Organized and led technical workshops and knowledge-sharing sessions for students on emerging technologies
  • Collaborated with peers and the Microsoft community to drive developer engagement and learning initiatives
  • Hosted and coordinated hackathons and technical events, enabling hands-on problem solving and innovation
  • Mentored students and promoted adoption of modern technologies across the campus community

Education

Jaypee University of Engineering and Technology

Bachelor of Technology — Computer Science

Jul 2016Aug 2020

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