Mallikarjunan M

About Mallikarjunan M

AI & ML Expert | Quantum Computing Enthusiast | Performance Optimization Specialist | M.Tech from BITS Pilani | ECE Graduate from VIT Vellore | InnovatorAs a passionate AI and ML professional with a solid educational background, I bring a unique blend of technical expertise, leadership, and innovation to every challenge. I earned my M.Tech in Artificial Intelligence and Machine Learning from BITS Pilani (8.67 CGPA, Qualcomm-sponsored WILP), building on a B.Tech in Electronics and Communication Engineering from VIT Vellore (9.34 CGPA, full STARS scholarship).At Qualcomm, my career as Senior Lead Engineer (Jan 2025–Present) has been dedicated to driving ARM instruction-level performance optimization and detailed analysis on Snapdragon Compute platforms (X-Elite, X2 series). I architected an AI-driven Windows Performance Bot using in-house LLM, automating diagnostics to cut analysis time from days to minutes—accelerating customer deployment and bottleneck triage for CPU/GPU/NPU workloads. Filed two US Patents on micro-architectural optimizations via TMA, delivering efficiency gains in SPEC2017/Geekbench/PCMark that enhanced battery life and outperformed competitors, directly benefiting end-users. Led a PPM configuration tool project under tight deadlines with JIRA/Bitbucket, reducing tuning cycles from days to minutes; managed cross-functional teams, earning VP’s Impact Award while aligning milestones to customer power-performance needs.As Senior Engineer (Sep 2022–Dec 2024), I spearheaded cross-domain modeling, translating CPU stall analysis/memory techniques to GPU/AI pipelines—unlocking system uplifts in multimedia/AI tasks, boosting product competitiveness, and navigating heterogeneous challenges through agile prioritization. Earlier at Dell (2019–2022), I designed Node.js/Electron/SQLite Ubuntu apps and.NET/C# tools for endpoint control, slashing manual interventions by 50%+ for enterprise scalability; led VMM POCs against zero-days and full project lifecycles, fostering collaboration via React/MongoDB platforms.My deep interest in physics, particularly quantum computing, further expands my perspective on future technological advancements. I am motivated by the potential to merge quantum mechanics with AI and ML, paving the way for groundbreaking computational capabilities.I am excited to connect with professionals and organizations who share a vision of leveraging technology to address complex challenges. Let’s collaborate to bridge the gap between advanced theory and impactful real-world applications.

Experience

1. Senior Lead Engineer

   Qualcomm

   Dec 2024 — Present · Bengaluru, IN

   Architected and implemented an AI-driven Windows Performance Analyzing Bot powered by an in-house LLM, automating initial performance diagnostics for Snapdragon Compute platforms (X-Elite, X-Plus, X2-Elite, X2-Plus, X2-Elite Extreme), slashing analysis time from days to minutes and enabling faster triage of CPU, GPU, and NPU bottlenecks. Optimized Windows performance by filing two US Patents at the micro-architectural level, leveraging TMA metrics and profiling tools like WPA, GPUView, and WinDbg to enhance efficiency across key benchmarks including SPEC2017, Geekbench, and PCMark against competitive platforms. Designed and developed a Processor Power Management (PPM) configuration tool that optimized system power-performance trade-offs, reducing PPM tuning time from days to minutes while accelerating validation cycles; this initiative earned the Impact Award (Presto Award) from the VP. Led cross-functional efforts in agile environments using JIRA, Bitbucket, C, and Python, driving innovation in heterogeneous workload optimization for high-performance graphics and AI platforms.

Education

• Zero To Mastery Academy

  3 Months Course, Complete React-Native Developer

  2021 — 2021

• Zero To Mastery Academy

  3 Months Course - Complete Python Developer 2022 - ZTM, Complete Python Developer 2022 - ZTM

• Zero To Mastery Academy

  3 Months Course - TensorFlow Developer Certificate Bootcamp, TensorFlow Developer Certificate Bootcamp

  2024

• Vellore Institute of Technology

  Bachelor of Technology (B.Tech.), ECE

  2015 — 2019

• Government Higher Secondary School - India

  High School Diploma, Computer Science

• BITS Pilani Work Integrated Learning Programmes

  Master of Technology - MTech, Artificial Intelligence and Machine Learning