About the practice / 10+ years
Systems that hold up.Products that matter.
The short version
I build the machinery behind digital products — from APIs and cloud infrastructure to the interface a person finally touches.
My work has moved through mobility, machine learning, network intelligence, mental health and environmental action. The domain changes; the pattern does not: understand the real constraint, make the system legible, then make it dependable.
Today I work at 14 Trees Foundation, where software connects field teams, planted trees, donors and day-to-day operations. It is engineering measured in real places, not just screens.
Selected impact
Three recurring problemsSocial impact
Technology that follows every tree
A connected platform for field evidence, lifecycle events, donations and operations — designed around the people doing the work outdoors.
Mental health
Infrastructure behind human care
Reliable backend architecture, secure role-based workflows and real-time communication for a high-concurrency care platform.
Network intelligence
Turning symptoms into causes
Diagnostic tooling that made complex WiFi failures explainable and remotely actionable, culminating in a granted patent.
Career chapters
2015 — present2026 — now
14 Trees Foundation
Product Developer / Pune
Building the organisation’s technology platform end to end — field tracking, donor experiences, internal operations, cloud systems and an AI-assisted knowledge layer.
2022 — 2026
Wysa
Full-Stack Engineer / Bengaluru
Architected high-concurrency backend services for mental health care, strengthened access controls, and improved the scale and reliability of therapist-facing products.
2018 — 2022
Arista Networks
Software Development Engineer / Pune
Created network-diagnostics systems, remote connectivity tests and production APIs, including a patented approach to identifying causes of poor WiFi performance.
2017 — 2018
Mojo Networks
SMTS, Aware R&D / Pune
Turned network data into quality benchmarks and machine-learning signals for voice and conferencing experiences; shared the work at WLPC 2018.
2015 — 2017
Cretif / Allerin Tech
Full-Stack & Data Engineering / India
Built early real-time mobility products, geofencing and driving insights, then explored computer vision for live traffic monitoring.
Working range
Across the whole product.
Broad enough to connect the parts, deep enough to own the difficult ones. I am most useful where product decisions and system architecture meet.
Backend systems
Node.js, TypeScript, Go, API design, distributed workflows and real-time communication.
Cloud & operations
AWS infrastructure, event-driven services, containers, deployment pipelines and observability.
Product engineering
React interfaces, internal tools, field applications and complete user-facing experiences.
Data & intelligence
PostgreSQL, MongoDB, Redis, applied machine learning and conversational AI systems.
Recognition
A granted patent in WiFi diagnosis.
Developed at Arista Networks, the rule-based root-cause mining engine helps identify the factors most responsible for poor client performance.
Foundation
Computer Science & Engineering
B.Tech / I.E.R.T. Allahabad / 2012 — 2016
Continued study across neural networks, data science, cloud computing, Go and agile product planning — chosen to support the work, not decorate it.