Founder & CEO · PlantPause | Senior Software Engineer
Engineer turned founder. After 6 years building AI validation systems for Qualcomm's next-gen accelerators, I channelled the same precision into PlantPause — a mindful gardening brand helping city dwellers reconnect with nature, one plant at a time. Currently deepening my roots in Generative AI & Agentic AI at IIIT-Bangalore.
दु:खेष्वनुद्विग्नमना: सुखेषु विगतस्पृह: | वीतरागभयक्रोध: स्थितधीर्मुनिरुच्यते
Bhagavad Gita 2.56 — One who is undisturbed by misery, unelated by happiness, free from attachment, fear, and anger — that one is a sage of steady mind. This verse guides how I approach both software and life.Validating deep learning models up to 70B parameters on Qualcomm AI accelerators using PyTorch, TensorRT, and LangChain.
Building PlantPause from zero — brand, product, community, and operations — with the same systems thinking I brought to engineering.
Automated 260+ test cases with CLI-Jenkins pipelines, cutting manual effort by 98% and accelerating validation by 80%.
Deep roots in bare-metal firmware, motor controllers, and hardware validation across ARM, DSP, and TI-C2000 architectures.
A broad stack spanning AI/ML research, embedded firmware, DevOps, and hardware protocols.
From founding a consumer brand to validating AI hardware that powers global deployments.
A selection of systems built, frameworks shipped, and problems solved across AI, hardware, and software.
A web app to build, visualize, and explore your family tree — making it easy to map generational connections and preserve family history digitally.
Built from zero — an online brand for urban gardeners centred on "Grow slow, grow mindful." Includes a product line of DIY herb kits and care products, a content blog, and a community channel. Every decision, from branding to fulfilment, made in-house.
A fully automated pipeline that validates accuracy for CV, NLP, and LLM workloads (up to 70B params) on Qualcomm AI100/AI080/AI200 hardware. What once took days now runs in hours — end-to-end, from model input to accuracy report, via a single CLI command.
A modular benchmarking tool that measures latency, accuracy, DDR bandwidth, and power for AI models running on AI100. Replaced ad-hoc scripts with a structured, shareable system — reducing profiling time by 65% and enabling cross-team reuse.
Automated EV motor controller tests using a Raspberry Pi-based dyno rig. Cut manual testing time by 50% and improved defect detection by 30%. The same engineering discipline I'd later apply at scale at Qualcomm.
Designed and assembled a functional 3D printer from scratch — stepper control, RAMPS 1.4 board, G-code firmware, and custom hardware mounts. A first-principles project that sparked a lifelong love for building things that work.
Represented college at a national robotics competition. Designed an autonomous navigation system with real-time motor control and sensor fusion. Competing on a national stage as an undergrad was a defining experience in building under pressure.
Always learning — from embedded systems to generative AI, and everything in between.
I share what I build and learn — from AI projects to Python tutorials — in plain, practical terms.
A channel about building real things with code — AI/ML projects, Python deep dives, automation ideas, and hands-on tutorials. The kind of content I wished existed when I was learning: practical, direct, and honest about what actually works. From writing your first Python script to fine-tuning language models and building agentic AI systems.
Visit ChannelWhether it's AI, embedded systems, building a startup, or just gardening — I'd love to hear from you.
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