
I am a machine learning engineer fueled by a passion for building elegant, data-driven systems. After years at Google, I now thrive in the autonomy of independent projects, where I can explore creative solutions.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Developed large-scale machine learning models and ad-tech infrastructure during tenure at Google.
Currently operating in a self-directed capacity to build and prototype independent technical projects.
Can help others refine system architectures and scale machine learning implementations effectively.
🚀 Career trajectory
Foundational Growth
Graduated from IIT Delhi with a strong grounding in core engineering principles and computer vision research.
✦ IIT Delhi
✦ Computer Vision
Technical Scaling
Led significant engineering contributions at Google, focusing on ad-tech and later scaling video recommendation systems.
✦ ML Engineering
Autonomy Phase
Embarked on an intentional sabbatical to shift focus from corporate maintenance to building independent, founder-led projects.
✦ Founder Mode
✦ Independent Research
💪🏻 Superpowers
Scalable ML Architecture
Designing high-performance systems for global consumer platforms.
✦ Architected core advertising systems handling massive daily traffic volumes.
✦ Optimized recommendation logic to enhance user engagement on YouTube.
✦ Integrated machine learning models into high-stakes production pipelines.
Algorithmic Precision
Applying mathematical rigor to solve real-world data challenges.
✦ Leveraged computer vision models for complex image processing tasks.
✦ Refined predictive accuracy through iterative testing and data validation.
✦ Translated technical research into reliable, user-facing features.
Independent Innovation
Transitioning from corporate infrastructure to self-directed development.
✦ Prioritizing deep work to prototype novel independent applications.
✦ Applying disciplined engineering methodology to solo venture building.
✦ Exploring new technical domains outside of large-scale corporate constraints.
I'm excited about
✦ Exploring collaborative opportunities with like-minded technical founders and builders.
✦ Seeking inspiration and intellectual exchange within advanced technology communities.
✦ Discovering emerging trends to inform the direction of independent projects.
I can help with
✦ Providing technical guidance on implementing machine learning at scale.
✦ Mentoring early-career engineers on transitioning into big tech roles.
✦ Reviewing architectural designs for data-heavy software applications.
I would love your help on
✦ Gaining insights into the unique challenges of bootstrapping technical products.
✦ Connecting with peers navigating their own career pivots and sabbaticals.
✦ Identifying niche markets where specific ML applications provide unique value.