M

Manish Bajaj

CTO

Santa Clara, California, United States13 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over a decade of software engineering experience.
  • Expert in AI-driven performance and reliability solutions.
  • Proven track record in building scalable developer tools.
Stackforce AI infers this person is a Software Engineering Manager specializing in AI-driven solutions for Performance and Reliability in B2C applications.

Contact

LinkedIn

Skills

Core Skills

ReliabilityPerformanceEfficiencySoftware Development

Other Skills

Data StructuresLeadershipMatlabC++JavaAlgorithmsMachine LearningImage ProcessingProgrammingJavaScriptHTMLLinuxMicrosoft OfficeVHDLC

About

With over a decade of experience in software engineering, I bring a proven track record of driving innovation in Performance, Reliability, and Efficiency (PRE) solutions. As a Software Engineering Manager at Meta, I am committed to empowering developers through AI-driven tools that simplify complex workflows and enhance productivity. At Meta, I lead teams focused on Reliability, Tracing, and Performance, where we develop cutting-edge diagnostic systems and automated tools that integrate expert insights directly into developer workflows. Our solutions have enabled engineers to tackle intricate PRE challenges with greater speed and accuracy, significantly reducing downtime and engineering toil. I am passionate about building partnerships across teams to implement scalable, intuitive solutions that optimize incident response and address systemic bottlenecks, driving impactful results at an organizational scale.

Experience

13 yrs 4 mos
Total Experience
6 yrs 8 mos
Average Tenure
12 yrs 5 mos
Current Experience

Meta

2 roles

Software Engineering Manager

Promoted

Feb 2020 – Present · 6 yrs 3 mos · Menlo Park, California, United States

  • Leading Reliability, Tracing, and Performance teams to solve complex PRE challenges across Meta’s Family of Apps (Facebook, Instagram, Whatsapp, Messenger and more).
  • Driving the strategic roadmap for developer tools that democratize expert knowledge by leveraging AI to bake intelligence directly into workflows. This enables tens of thousands of product engineers to investigate complex PRE issues faster and with low effort, regardless of their domain expertise. Build high-impact cross-functional partnerships to ensure these intuitive diagnostic systems are adopted company-wide, streamlining incident response and solving systemic bottlenecks at scale.
  • Some of the highlights from work include:
  • Building client side SDKs (Android/iOS) collecting crash telemetry and diagnostic data for building richer context for investigating crashes
  • Building "high resolution" tracing solution to stitch the timeline of events, critical to debugging slow app starts or user bug reports.
  • Applying mobile-first engineering principles to AI domain and building AI lab, a Meta framework that optimizes developer velocity by automating performance testing and drastically reducing training wait times.
Data StructuresLeadershipReliabilityPerformance

Software Engineer

Dec 2013 – Feb 2020 · 6 yrs 2 mos · Menlo Park, California, United States

  • Engineered high-scale developer tools to solve Performance, Reliability, and Efficiency (PRE) challenges for Meta’s applications. Reduced investigation time and engineering toil by building automated diagnostic frameworks and observability solutions.
Data StructuresSoftware DevelopmentPerformanceReliability

Amazon

Software Development Engineer

Jul 2012 – Jun 2013 · 11 mos · Hyderabad, India

  • Developed and enhanced features for Amazon's CRM web software using HTML, Perl, and Mason.
  • Designed and implemented APIs for production applications within a Service Oriented Architecture (SOA) and migrated legacy service APIs from C++ to a JAVA-based platform, improving system performance.
Data StructuresSoftware Development

Qualcomm

Intern

May 2011 – Jul 2011 · 2 mos · Hyderabad, India

  • Worked on Voice subsystem Interface between the advanced RISC Machine (ARM) processor and Applications Digital Signal Processor (aDSP) for the Mobile Station Mode (MSM) device
  • Successfully completed the Voice Loop Back Test and enhanced the quality of voice significantly
Data StructuresSoftware Development

Education

Indian Institute of Technology, Delhi

Bachelor of Technology (B.Tech.) — Electrical Engineering

Jan 2008 – Jan 2012

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