Hi, I'm Mahul Bhattacharya - Software Engineer at Google
I am deeply driven by the challenge of turning complex technical obstacles into seamless, high-performance systems. I thrive in high-stakes environments where precision meets creativity and big-picture scale.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Developed robust, scalable software architectures while working as an engineer at Google.
Currently builds complex technical solutions at the intersection of high-scale engineering and innovation.
Provides expert guidance on navigating large-scale development lifecycles and optimizing engineering performance.
🚀 Career trajectory
Foundational Phase
Built core engineering competence in systems and kernel development at Microsoft.
✦ System Programming
✦ Kernel Expertise
Entrepreneurial Pivot
Took the leap into leadership as a Co-Founder to build and scale products.
✦ Startup Leadership
✦ Product Vision
Architectural Maturity
Transformed high-level technical strategies into infrastructure reality at Flipkart and Google.
✦ System Architecture
✦ Deep Learning
💪🏻 Superpowers
Systems-Level Architect
Mastering the foundation of computing from kernel to cloud.
✦ Architected scalable infrastructure to support complex data ecosystems.
✦ Optimized operating system performance for high-throughput environments.
✦ Synthesized low-level C and C++ mastery with modern distributed system design.
Entrepreneurial Engineer
Combining technical rigor with the startup founder mindset.
✦ Navigated the full product lifecycle during my tenure as a co-founder.
✦ Apply lean iteration cycles to solve enterprise-scale software bottlenecks.
✦ Embrace rapid prototyping to validate ambitious engineering concepts.
Applied AI Strategist
Translating deep learning research into concrete, performant applications.
✦ Integrate machine learning models into high-performance software pipelines.
✦ Bridging theoretical research with real-world deployment challenges.
✦ Focus on building robust systems that sustain intelligence at scale.
I'm excited about
✦ Exploring cross-disciplinary collaborations that blend systems engineering with AI research.
✦ Engaging with forward-thinking communities to discuss the future of scalable architecture.
✦ Finding new avenues to apply my experience toward solving emerging technical challenges.
I can help with
✦ Mentoring early-stage founders on balancing technical debt with rapid product growth.
✦ Conducting deep-dive architecture reviews for high-performance distributed systems.
✦ Advising engineering teams on kernel-level optimizations and C++ system design.
I would love your help on
✦ Learning about emerging best practices in large-scale machine learning model deployment.
✦ Connecting with experts navigating the complexities of scaling AI-integrated software services.
✦ Seeking insights into managing technical strategy in fast-paced global organizations.